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2025
Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling
Junhong Lee, Seungwook Kim, Minsu Cho
AI for Content Creation (AI4CC) Workshop at CVPR 2025, Nashville, 2025
  • arxiv Link
GENIUS: A Generative Framework for Universal Multimodal Search
Sungyeon Kim, Xinliang Zhu, Xiaofan Lin, Muhammet Bastan, Douglas Gray, Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
Improving Sound Source Localization with Joint Slot Attention on Image and Audio
Inho Kim, Youngkil Song, Jicheol Park, Won Hwa Kim, Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment
Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
  • Github Link
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection
Ahyun Seo, Minsu Cho
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
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  • Link
  • Oral presentation
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval
Boseung Jeong, Jicheol Park, Sungyeon Kim, Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation
Junha Lee*, Chunghyun Park*, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Chris Choy
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
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Video Summarization with Large Language Models
Min Jung Lee, Dayoung Gong, Minsu Cho
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025
  • arxiv Link
Memory-Modular Classification: Learning to Generalize with Memory Replacement
Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid
Transactions on Machine Learning Research (TMLR), 2025
  • arxiv Link
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Decoupled Finetuning for Domain Generalizable Semantic Segmentation
Jaehyun Pahk, Donghyeon Kwon, Seong Joon Oh, Suha Kwak
International Conference on Learning Representations (ICLR), Singapore, 2025
  • arxiv Link
  • Oral presentation
Boosting Semi-supervised Video Action Detection with Temporal Context
Donghyeon Kwon, Inho Kim, Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, 2025
  • arxiv Link
Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
Sungyeon Kim, Donghyun Kim, Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, 2025
  • arxiv Link
2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Dayoung Gong, Suha Kwak, Minsu Cho
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
  • arxiv Link
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
Jongmin Lee, Minsu Cho
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
  • arxiv Link
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Bootstrapping Top-down Information for Self-modulating Slot Attention
Dongwon Kim, Seoyeon Kim, Suha Kwak
Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2024
  • arxiv Link
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images
Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Ju-Mi Kang, Ju Hong Yoon, Hae-Gon Jeon
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation
Dahyun Kang, Minsu Cho
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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Online Temporal Action Localization with Memory-Augmented Transformer
Youngkil Song*, Dongkeun Kim*, Minsu Cho Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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  • Oral presentation
Classification Matters: Improving Video Action Detection with Class-Specific Attention
Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery
Jicheol Park, Dongwon Kim, Boseung Jeong, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
Distilling Diffusion Models into Conditional GANs
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions
Sohyun Lee, Namyup Kim, Sungyeon Kim, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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Towards More Practical Group Activity Detection: A New Benchmark and Model
Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak
European Conference on Computer Vision (ECCV), Milano, Italy, 2024
  • arxiv Link
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3D Geometric Shape Assembly via Efficient Point Cloud Matching
Nahyuk Lee*, Juhong Min*, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho
International Conference on Machine Learning (ICML), Vienna, Austria, 2024
  • arxiv Link
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Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Junseul Ok, Suha Kwak
International Conference on Machine Learning (ICML), Vienna, Austria, 2024
  • arxiv Link
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Active Label Correction for Semantic Segmentation with Foundation Models
Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok
International Conference on Machine Learning (ICML), Vienna, Austria, 2024
  • arxiv Link
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Burst Image Super-Resolution with Base Frame Selection
Sanghyun Kim*, Min Jung Lee*, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho
CVPR Workshop on New Trends in Image Restroation and Enhancement (NTIRE), Seattle, 2024
  • arxiv Link
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Extending CLIP's Image-Text Alignment to Referring Image Segmentation
Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, Suha Kwak
Annual Conference on the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, 2024
  • arxiv Link
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
Chunghyun Park*, Seungwook Kim*, Jaesik Park, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
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Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
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Contrastive Mean-Shift Learning for Generalized Category Discovery
Sua Choi, Dahyun Kang, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
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Learning Correlation Structures for Vision Transformers
Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
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MoReVQA: Exploring Modular Reasoning Models for Video Questiong Answering
Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
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Extreme Point Supervised Instance Segmentation
Hyeonjun Lee, Sehyun Hwang, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, 2024
  • arxiv Link
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
Jungtaek Kim, Jeongbeen Yoon, Minsu Cho
International Conference on Learning Representations (ICLR), Vienna, Austria, 2024
  • arxiv Link
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  • Oral presentation
  • Best paper finalist
Efficient Semantic Matching with Hypercolumn Correlation
Seungwook Kim, Juhong Min, Minsu Cho
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2024
  • arxiv Link
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Self-supervised Learning of Semantic Correspondence Using Web Videos
Donghyeon Kwon, Minsu Cho, Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2024
  • arxiv Link
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Optical Flow Domain Adaptation via Target Style Transfer
Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2024
  • arxiv Link
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation
Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, 2024
  • arxiv Link
2023
Generative Neural Fields by Mixtures of Neural Implicit Functions
Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han
Conference on Neural Information Processing Systems (NeurIPS) , New Orleans, USA, 2023
  • arxiv Link
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  • Oral presentation
Holistic Evaluation of Text-to-Image Models
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, Percy Liang
Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, New Orleans, USA, 2023
  • arxiv Link
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Active Learning for Semantic Segmentation with Multi-class Label Query
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023
  • arxiv Link
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Activity Grammars for Temporal Action Segmentation
Dayoung Gong*, Joonseok Lee*, Deunsol Jung, Suha Kwak, Minsu Cho
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023
  • arxiv Link
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Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2023
  • arxiv Link
StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis
Minguk Kang, Joonghyuk Shin, Jaesik Park
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  • arxiv Link
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Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
Dongwon Kim*, Namyup Kim*, Cuiling Lan, Suha Kwak
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023
  • arxiv Link
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PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023
  • arxiv Link
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Adaptive Superpixel for Active Learning in Semantic Segmentation
Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2023
  • arxiv Link
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Removing Multiple Biases through the Lens of Multi-task Learning
Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, Suha Kwak
ICML Workshop on Spurious correlations, Invariance, and Stability (SCIS), Honolulu, Hawaii, 2023
  • arxiv Link
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
Seungwook Kim*, Chunghyun Park*, Yoonwoo Jeong, Jaesik Park, Minsu Cho
International Conference on Machine Learning (ICML), Honolulu, Hawaii, 2023
  • arxiv Link
Leveraging Proxy of Training Data for Test-Time Adaptation
Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak
International Conference on Machine Learning (ICML), Honolulu, Hawaii, 2023
  • arxiv Link
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  • Oral presentation
Scaling up GANs for Text-to-Image Synthesis
Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
  • Github Link
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Learning Rotation-Equivariant Features for Visual Correspondence
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
  • Github Link
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Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
Deunsol Jung, Sanghyun Kim, Wonhwa Kim, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee*, Jaesung Rim*, Boseung Jeong, Geonu Kim, ByungJu Woo, Haechan Lee, Sunghyun Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
Sungyeon Kim, Boseung Jeong, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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Relational Context Learning for Human-Object Interaction Detection
Sanghyun Kim, Deunsol Jung, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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  • Oral presentation
Improving Cross-Modal Retrieval with Set of Diverse Embeddings
Dongwon Kim, Namyup Kim, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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Instant Domain Augmentation for LiDAR Semantic Segmentation
Kwonyoung Ryu, Soonmin Hwang, Jaesik Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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  • Oral presentation
Generalizable Implicit Neural Representations with Instance Pattern Composers
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
  • arxiv Link
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Scene-level Point Cloud Colorization with Semantic-and-Geometric-aware Networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang Lei, Jaesik Park, Qifeng Chen
IEEE International Conference on Robotics and Automation (ICRA) London, UK, 2023,
  • arxiv Link
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WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation
Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak
IEEE International Conference on Robotics and Automation (ICRA), London, UK, 2023
  • arxiv Link
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Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
Juhong Min, Seungwook Kim, Minsu Cho
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  • arxiv Link
2022
SeLCA: Self-Supervised Learning of Canonical Axis
Seungwook Kim, Yoonwoo Jeong, Chunghyun Park, Jaesik Park, Minsu Cho
NeurIPS NeurReps Workshop, New Orleans, 2022
  • arxiv Link
Applications of deep learning to understanding ENSO dynamics
Na-Yeon Shin, Yoo-Geun Ham, Jeong-Hwan Kim, Minsu Cho, Jong-Seong Kug
Artificial Intelligence for the Earth Systems, 2022
  • arxiv Link
Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Asian Conference on Computer Vision (ACCV), Macau SAR, China, 2022
  • arxiv Link
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PeRFception: Perception using Radiance Fields
Yoonwoo Jeong*, Seungjoo Shin*, Junha Lee*, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, New Orleans, 2022
  • arxiv Link
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A Roatated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022
  • arxiv Link
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Learning Debiased Classifier with Biased Committee
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022
  • arxiv Link
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Peripheral Vision Transformer
Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022
  • arxiv Link
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Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022
  • arxiv Link
Locally Hierarchical Auto-Regressive Modeling for Image Generation
Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022
  • arxiv Link
  • Github Link
CostDCNet: Cost Volume based Depth Completion of Single RGB-D Images
Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
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PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe*, Chunghyun Park*, Francois Rameau, Jaesik Park, In So Kweon (*equal contribution)
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
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Style-Agnostic Reinforcement Learning
Juyong Lee, Seokjun Ahn, Jaesik Park
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
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Towards Sequence-Level Training for Visual Tracking
*Minji Kim, *Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho (*equal contribution)
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
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Cross-Domain Ensemble Distillation for Domain Generalization
Kyungmoon Lee, Sungyeon Kim, Suha Kwak
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
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Combating Label Distribution Shift for Active Domain Adaptation
Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak
European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022
  • arxiv Link
  • Github Link
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Learning Debiased Classifier with Biased Committee
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
ICML workshop on Spurious correlations, Invariance, and Stability (SCIS), Baltimore MD, 2022
  • arxiv Link
  • Github Link
Learning to Detect Semantic Boundaries with Image-level Class Labels
Namyup Kim*, Sehyun Hwang*, Suha Kwak (*equal contribution)
International Journal of Computer Vision (IJCV), 2022
  • arxiv Link
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes
Jungtaek Kim, Minsu Cho, Seungjin Choi
Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, 2022
  • arxiv Link
Online Hybrid Lightweight Representation Learning: Its Application to Visual Tracking
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022
  • arxiv Link
Learning to Assemble Geometric Shapes
Jinhwi Lee*, Jungtaek Kim*, Hyunsoo Chung, Jaesik Park, Minsu Cho (*equal contribution)
International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, 2022
  • arxiv Link
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The Design of an Inkjet Drive Waveform Using Machine Learning
Seongju Kim, Minsu Cho, Sungjune Jung
Scientific Reports, 12, 4841, 2022
  • arxiv Link
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
CVPR Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU), New Orleans, 2022
  • arxiv Link
  • Oral presentation
  • Best paper finalist
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
Sohyun Lee, Taeyoung Son, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Jongmin Lee, Byungjin Kim, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Collaborative Transformers for Grounded Situation Recognition
Junhyeong Cho, Youngseok Yoon, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Autoregressive Image Generation using Residual Quantization
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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Instance-wise Occlusion and Depth Orders in Natural Scenes
Hyunmin Lee, Jaesik Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization
Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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ReSTR: Convolution-free Referring Image Segmentation Using Transformers
Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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TransforMatcher: Match-to-Match Attention for Semantic Correspondence
Seungwook Kim, Juhong Min, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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Reflection and Rotation Symmetry Detection via Equivariant Learning
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Semi-supervised Semantic Segmentation with Error Localization Network
Donghyeon Kwon, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Future Transformer for Long-term Action Anticipation
Dayoung Gong, Joonseok Lee, Manjin Kim, Seongjong Ha, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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Self-Taught Metric Learning without Labels
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Fast Point Transformer
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
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Integrative Few-Shot Learning for Classification and Segmentation
Dahyun Kang, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
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Scene Painting via Semantic Image Synthesis
Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Link
Detector-Free Weakly Supervised Group Activity Recognition
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022
  • arxiv Link
  • Github Link
  • Link
Deep Point Cloud Reconstruction
Jaesung Choe, Byeongin Joung, Francois Rameau, Jaesik Park, In So Kweon
International Conference on Learning Representations (ICLR), Online, 2022
  • arxiv Link
On Evaluation Metrics for Graph Generative Models
Rylee Thompson, Boris Knyazev, Elahe Ghalebi, Jungtaek Kim, Graham W. Taylor
International Conference on Learning Representations (ICLR), Online, 2022
  • arxiv Link
  • Github Link
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
Jungtaek Kim, Seungjin Choi
International Conference on Artificial Intelligence and Statistics (AISTATS), Online, 2022
  • arxiv Link
  • Github Link
Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, 2022
  • arxiv Link
  • Github Link
2021
The Feasibility of Deep Learning-based Synthetic Contrast-enhanced CT from Nonenhanced CT in Emergency Department Patients with Acute Abdominal Pain
Se Woo Kim, Jung Hoon Kim, Suha Kwak, Minkyo Seo, Changhyun Ryoo, Cheong-Il Chin, Siwon Jang, Jungheum Cho, Young-Hoon Kim, Kyutae Jeon
Scientific Reports, 11, 20390, 2021
  • arxiv Link
Self-Supervised Real-time Video Stabilization
Jinsoo Choi, Jaesik Park, In So Kweon
British Machine Vision Conference (BMVC), Online, 2021
  • arxiv Link
Learning to Generate Novel Classes for Deep Metric Learning
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
British Machine Vision Conference (BMVC), Online, 2021
  • arxiv Link
Grounded Situation Recognition with Transformers
Junhyeong Cho*, Youngseok Yoon*, Hyeonjun Lee*, Suha Kwak (*equal contribution)
British Machine Vision Conference (BMVC), Online, 2021
  • arxiv Link
  • Github Link
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection
Nayeong Kim, Suha Kwak
British Machine Vision Conference (BMVC), Online, 2021
  • arxiv Link
Self-Supervised Learning of Image Scale and Orientation Estimation
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
British Machine Vision Conference (BMVC), Online, 2021
  • arxiv Link
  • Github Link
Relational Self-Attention: What's Missing in Attention for Video Understanding
Manjin Kim*, Heeseung Kwon*, Chunyu Wang, Suha Kwak, Minsu Cho (*equal contribution)
Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang, Woohyeon Joseph Shim, Minsu Cho, Jaesik Park
Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2021
  • arxiv Link
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Hyunsoo Chung*, Jungtaek Kim*, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho (*equal contribution)
Annual Conference on Neural Information Processing Systems (NeurIPS), Online, 2021
  • arxiv Link
  • Github Link
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
Boseung Jeong*, Jicheol Park*, Suha Kwak (*equal contribution)
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Relational Embedding for Few-Shot Classification
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Learning to Discover Reflection Symmetry via Polar Matching Convolution
Ahyun Seo*, Woohyeon Shim*, Minsu Cho (*equal contribution)
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Deep Hough Voting for Robust Global Registration
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min, Dahyun Kang, Minsu Cho
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Self-Calibrating Neural Radiance Fields
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition
Heeseung Kwon*, Manjin Kim*, Suha Kwak, Minsu Cho (*equal contribution)
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
  • Link
  • Oral presentation
Deep Virtual Markers for Articulated 3D Shapes
Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee
International Conference on Computer Vision (ICCV), Online, 2021
  • arxiv Link
  • Github Link
On the Distribution of Penultimate Activations of Classification Networks
Minkyo Seo*, Yoonho Lee*, Suha Kwak (*equal contribution)
The Conference on Uncertainty in Artificial Intelligence (UAI), Online, 2021
  • arxiv Link
STAD: Stable Video Depth Estimation
Hyunmin Lee, Jaesik Park
IEEE International Conference on Image Processing (ICIP), Alaska, USA, 2021
  • arxiv Link
  • Github Link
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
Gyeongsik Moon*, Heeseung Kwon*, Kyoung Mu Lee, Minsu Cho
CVPR Workshop on Large Scale Holistic Video Understanding, Online, 2021
  • arxiv Link
  • Github Link
Embedding Transfer with Label Relaxation for Improved Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021
  • arxiv Link
  • Github Link
  • Link
  • Oral presentation
Convolutional Hough Matching Networks
Juhong Min, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Online, 2021
  • arxiv Link
  • Github Link
  • Link
TextureMe: High-quality Textured Scene Reconstruction in Real-time
Jungeon Kim, Hyomin Kim, Hyeonseo Nam, Jaesik Park, Seungyong Lee
ACM Transactions on Graphics (ToG), 2021
  • arxiv Link
Bayesian Optimization with Approximate Set Kernels
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Machine Learning, January, 2021
  • arxiv Link
Learning to Distill Convolutional Features into Compact Local Descriptors
Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, 2021
  • arxiv Link
Neural Contrast Enhancement of CT Image
Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, 2021
  • arxiv Link
High-quality Frame Interpolation via Tridirectional Inference
Jinsoo Choi, Jaesik Park, In So Kweon
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, USA, 2021
  • arxiv Link
  • Github Link
2020
Multiplex Protein Imaging with Secondary Ion Mass Spectrometry Using Metal Oxide Nanoparticle Conjugated Antibodies
Daewon Moon, Young Ho Park, Eunseok Seo, Sunyoung Lee, Heejin Lim, Suha Kwak, Minseok Kim, Hyunmin Kim, Eunjoo Kim, Yebin Jung, Hyang-Sook Hoe, Sungjee Kim, Dong-Kwon Lim, Chul-Hoon Kim, Su-Il In
ACS Applied Materials and Interfaces, vol. 12, no. 15, 2020
  • arxiv Link
Fragment Relation Networks for Geometric Shape Assembly
Jinhwi Lee*, Jungtaek Kim*, Hyunsoo Chung, Jaesik Park, Minsu Cho (*equal contribution)
NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA), Vancouver, Canada, 2020
  • arxiv Link
Combinatorial 3D Shape Generation via Sequential Assembly
Jungtaek Kim, Hyunsoo Chung, Jinhwi Lee, Minsu Cho, Jaesik Park
NeurIPS Workshop on Machine Learning for Engineering Moedeling, Simulation, and Design (ML4Eng), Vancouver, Canada, 2020
  • arxiv Link
  • Github Link
CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim, Minsu Cho
Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2020
  • arxiv Link
  • Github Link
ContraGAN: Contrastive Learning for Conditional Image Generation
Minguk Kang, Jaesik Park
Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2020
  • arxiv Link
Bootstrapping Neural Processes
Juho Lee*, Yoonho Lee*, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh (*equal contribution)
Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2020
  • arxiv Link
  • Github Link
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
  • arxiv Link
  • Github Link
  • Link
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
  • arxiv Link
  • Github Link
  • Link
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
European Conference on Computer Vision (ECCV), Glasgow, UK, 2020
  • arxiv Link
  • Github Link
  • Link
Traffic Accident Benchmark for Causality Recognition
Tackgeun You, Bohyung Han
European Conference on Compuber Vision (ECCV), Glasgow, UK, 2020
  • arxiv Link
  • Github Link
Diversified Mutual Learning for Deep Metric Learning
Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho
ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), Online, 2020
  • arxiv Link
Learning Discriminative Part Features through Attentions for Effective and Scalable Person Search
Jicheol Park*, Boseung Jeong*, Jongju Shin, Juyoung Lee, Suha Kwak (*equal contribution)
IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, 2020
  • arxiv Link
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
  • Link
  • Oral presentation
High-Dimensional Convolutional Networks for Geometric Pattern Recognition
Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, Vladlen Koltun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
Future Video Synthesis with Object Motion Prediction
Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
HUMBI: A Large Multiview Dataset of Human Body Expressions
Zhixuan Yu, Jaeshin Yoon, Inkyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyunsoo Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
Local-Global Video-Text Interactions for Temporal Grounding
Jonghwan Mun, Minsu Cho, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs
Sangwoo Mo, Minsu Cho, Jinwoo Shin
CVPR AI for Content Creation Workshop (CVPRW), Seattle, WA, USA, 2020
  • arxiv Link
  • Github Link
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
AAAI Conference on Artificial Intelligence (AAAI), Hilton New York Midtown, NY, USA, 2020
  • arxiv Link
  • Oral presentation
Reinforcing an Image Caption Generator by Human Feedback
Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut
AAAI Conference on Artificial Intelligence (AAAI), Hilton New York Midtown, NY, USA, 2020
  • arxiv Link
Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang*, Jonghwan Mun*, Bohyung Han
AAAI Conference on Artificial Intelligence (AAAI), Hilton New York Midtown, NY, USA, 2020
  • arxiv Link
2019
Mining GOLD Samples for Conditional GANs
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019
  • arxiv Link
  • Github Link
Combinatorial Inference against Label Noise
Paul Hongsuck Seo, Geeho Kim, Bohyung Han
Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, 2019
  • arxiv Link
  • Github Link
  • Oral presentation
Regularizing Neural Networks via Stochastic Branch Layers
Wonpyo Park*, Paul Hongsuck Seo*, Bohyung Han, Minsu Cho (*equal contribution)
Asian Conference on Machine Learning (ACML), Nagoya, Japan, 2019
  • arxiv Link
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
International Conference on Computer Vision (ICCV), Seoul, Korea, 2019
  • arxiv Link
  • Github Link
  • Link
Fully Convolutional Geometric Features
Christopher Choy*, Jaesik Park*, Vladlen Koltun
International Conference on Computer Vision (ICCV), Seoul, Korea, 2019
  • arxiv Link
  • Github Link
Relational Knowledge Distillation
Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
  • Link
  • Oral presentation
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
  • Oral presentation
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
  • Link
Unsupervised Image Matching and Object Discovery as Optimization
Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
Seonguk Seo*, Paul Hongsuck Seo*, Bohyung Han (*equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
Domain Specific Batch Normalization for Unsupervised Domain Adaptation
Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, Bohyung Han (*equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
Hyunwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
  • Github Link
  • Oral presentation
Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, US, 2019
  • arxiv Link
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho, Jinwoo Shin
International Conference on Learning Representations (ICLR), 2019
  • arxiv Link
  • Github Link
2018
Forget & Diversify: Regularized Refinement for Weakly Supervised Object Detection
Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han
Asian Conference on Computer Vision (ACCV), 2018
  • arxiv Link
Universal Bounding Box Regression and Its Applications
Seungkwan Lee, Suha Kwak, Minsu Cho
Asian Conference on Computer Vision (ACCV), 2018
  • arxiv Link
Learning to Specialize with Knowledge Distillation for Visual Question Answering
Jonghwan Mun, Kimin Lee, Jinwoo Shin, Bohyung Han
Annual Conference on Neural Information Processing Systems (NIPS), 2018
  • arxiv Link
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion
Heeseung Kwon, Suha Kwak, Minsu Cho
ACM Multimedia Workshop on Comprehensive Video Understanding in the Wild (ACMMM), 2018
  • arxiv Link
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
Paul Hongsuck Seo, Tobias Weyand, Jack Sim, Bohyung Han
European Conference on Computer Vision (ECCV), 2018
  • arxiv Link
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho
European Conference on Computer Vision (ECCV), 2018
  • arxiv Link
  • Github Link
  • Link
Real-Time MDNet
Ilchae Jung, Jeany Son, Mooyeol Baek, Bohyung Han
European Conference on Computer Vision (ECCV), 2018
  • arxiv Link
  • Github Link
First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling
Heeseung Kwon, Yeonho Kim, Jin S. Lee, Minsu Cho
Pattern Recognition Letters, Vol. 112, 161-167, 2018
  • arxiv Link
Progressive Attention Network for Visual Attribute Prediction
Paul Hongsuck Seo, Zhe Lin, Scott Cohen, Xiaohui Shen, Bohyung Han
Britich Machine Vision Conference (BMVC), 2018
  • arxiv Link
  • Github Link
Neural Program Synthesis from Diverse Demonstration Videos
Shao-Hua Sun*, Hyeonwoo Noh*, Sriram Somasundaram, Joseph Lim
International Conference on Machine Learning (ICML), 2018
  • arxiv Link
  • Github Link
  • Link
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
  • arxiv Link
  • Github Link
Product Quantized Translation for Fast Nearest Neighbor Search
Yoonho Hwang, Mooyeol Baek, Saehoon Kim, Bohyung Han, Hee-Kap Ahn
AAAI Conference on Artificial Intelligence (AAAI), 2018
  • arxiv Link
  • Github Link
2017
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision
Seunghoon Hong, Suha Kwak, Bohyung Han
IEEE Signal Processing Magazine, vol. 34, no. 6, 2017
  • arxiv Link
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun, Bohyung Han
Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, US, 2017
  • arxiv Link
Visual Reference Resolution using Attention Memory for Visual Dialog
Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, Leonid Sigal
Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, US, 2017
  • arxiv Link
  • Link
SCNet: Learning Semantic Correspondence
Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
International Conference on Computer Vision (ICCV), Venice, Italy, 2017
  • arxiv Link
  • Github Link
  • Link
MarioQA: Answering Questions by Watching Gameplay Videos
Jonghwan Mun*, Paul Hongsuck Seo*, Ilchae Jung, Bohyung Han (*both authors have equal contribution)
International Conference on Computer Vision (ICCV), Venice, Italy, 2017
  • arxiv Link
  • Github Link
  • Link
Large-Scale Image Retrieval with Attentive Deep Local Features
Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han
International Conference on Computer Vision (ICCV), Venice, Italy, 2017
  • arxiv Link
Proposal Flow: Semantic Correspondences from Object Proposals
Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2017
  • arxiv Link
Robust Guided Image Filtering Using Nonconvex Potentials
Bumsub Ham, Minsu Cho, Jean Ponce
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. PP(99), 1-1, 2017
  • arxiv Link
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, US, 2017
  • arxiv Link
  • Link
BranchOut: Regularization for Online Ensemble Tracking with Convolutional Neural Networks
Bohyung Han, Jack Sim, Hartwig Adam
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, US, 2017
  • arxiv Link
Superpixel-based Tracking-by-Segmentation using Markov Chains
Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, US, 2017
  • arxiv Link
  • Github Link
  • Link
Multi-Object Tracking with Quadruplet Convolutional Neural Network
Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, US, 2017
  • arxiv Link
Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking
Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han
IEEE Winter Conference on Applications of Computer Vision (WACV) , Santa Rosa, CA, US, 2017
  • arxiv Link
Weakly Supervised Semantic Segmentation using Superpixel Pooling Network
Suha Kwak, Seunghoon Hong, Bohyung Han
AAAI Conference on Artificial Intelligence (AAAI), San Francisco, CA, US, 2017
  • arxiv Link
Text-Guided Attention Model for Image Captioning
Jonghwan Mun, Minsu Cho, Bohyung Han
AAAI Conference on Artificial Intelligence (AAAI), to appear, San Francisco, CA, US, 2017
  • arxiv Link
  • Github Link
2016
  • Oral presentation
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh, Paul Hongsuck Seo, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, US, 2016
  • arxiv Link
  • Github Link
  • Link
  • Oral presentation
Learning to Select Pre-trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, US, 2016
  • arxiv Link
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong, Junhyuk Oh, Bohyung Han, Honglak Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, US, 2016
  • arxiv Link
  • Github Link
  • Link
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam, Bohyung Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, US, 2016
  • arxiv Link
  • Github Link
  • Link
Joint Image Clustering and Labeling by Matrix Factorization
Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 38(7), 1411-1424, 2016
  • arxiv Link
Motion Effects Synthesis for 4D Films
Jaebong Lee, Bohyung Han, Seungmoon Choi
IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 22(10), 2300-2314, 2016
  • arxiv Link
Unsupervised Co-activity Detection from Multiple Videos Using Absorbing Markov Chain
Donghun Yeo, Bohyung Han, Joon Hee Han
AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, US, 2016
  • arxiv Link
  • Link
2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
*Seunghoon Hong, *Hyeonwoo Noh, Bohyung Han (*both authors have equal contribution)
Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, 2015
  • arxiv Link
  • Github Link
  • Link
Tracking-by-Segmentation with Online Gradient Boosting Decision Tree
Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han
International Conference on Computer Vision (ICCV), Santiago, Chile, 2015
  • arxiv Link
  • Link
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
International Conference on Computer Vision (ICCV), Santiago, Chile, 2015
  • arxiv Link
  • Github Link
  • Link
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
International Conference on Machine Learning (ICML), Lille, France, 2015
  • arxiv Link
  • Link
Qualitative Tracking Performance Evaluation without Ground-Truth
Bohyung Han, Jihun Hamm
IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, US, 2015
  • arxiv Link
2014
Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl, Suha Kwak, Jeany Son, Bohyung Han
Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, 2014
  • arxiv Link
Local Decorrelation for Improved Pedestrian Detection
Woonhyun Nam, Piotr Dollár, Joon Hee Han
Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, 2014
  • arxiv Link
  • Oral presentation
Visual Tracking by Sampling Tree-Structured Graphical Models
Seunghoon Hong, Bohyung Han
European Conference on Computer Vision (ECCV), Zurich, Swiss, 2014
  • arxiv Link
Online Graph-Based Tracking
Hyeonseob Nam, Seunghoon Hong, Bohyung Han
European Conference on Computer Vision (ECCV), Zurich, Swiss, 2014
  • arxiv Link
Generalized Background Subtraction using Superpixels with Label Integrated Motion Estimation
Jongwoo Lim, Bohyung Han
European Conference on Computer Vision (ECCV), Zurich, Swiss, 2014
  • arxiv Link
  • Github Link
Online Video Event Detection by Constraint Flow
Suha Kwak, Bohyung Han, Joon Hee Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 26(6), 1174-1186, 2014
  • arxiv Link
Macrofeature Layout Selection for Pedestrian Localization and Its Acceleration Using GPU
Woonhyun Nam, Bohyung Han, Joon Hee Han
Computer Vision and Image Understanding (CVIU), Vol. 120, 46-58, 2014
  • arxiv Link
2013
  • Oral presentation
Orderless Tracking through Model-Averaged Posterior Estimation
Seunghoon Hong, Suha Kwak, Bohyung Han
International Conference on Computer Vision (ICCV), Sydney, Australia, 2013
  • arxiv Link
Joint Segmentation and Pose Tracking of Human in Natural Videos
Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han
International Conference on Computer Vision (ICCV), Sydney, Australia, 2013
  • arxiv Link
Multi-Agent Event Detection: Localization and Role Assignment
Suha Kwak, Bohyung Han, Joon Hee Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, US, 2013
  • arxiv Link
2012
Density-Based Multi-Feature Background Subtraction with Support Vector Machine
Bohyung Han, Larry Davis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 34(5), 1017-1023, 2012
  • arxiv Link
Modeling and Segmentation of Floating Foreground and Background in Videos
Taegyu Lim, Bohyung Han, Joon Hee Han
Pattern Recognition, Vol. 45(4), 1696-1706, 2012
  • arxiv Link
Online Multi-Target Tracking by Large Margin Structured Learning
Suna Kim, Suha Kwak, Jan Feyereisl, Bohyung Han
Asian Conference on Computer Vision (ACCV), Daejeon, Korea, 2012
  • arxiv Link
FaceReview: Supporting Interactive Exploration of Linked Heterogeneous Datasets for Unilateral Cleft Lip and Palate
Sungwon Lee, Boeun Kim, Bongshin Lee, Bohyoung Kim, Bohyung Han, Nina K. Anderson, Richard A. Bruun, Stephen Shusterman, Jinwook Seo
AMIA Symposium, Chicago, IL, US, 2012
  • arxiv Link
Seam Carving with Forward Gradient Difference Maps
Hyeonwoo Noh, Bohyung Han
ACM Multimedia, Nara, Japan, 2012
  • arxiv Link
On-line Video Segmentation by Bayesian Split-Merge Clustering
Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi
European Conference on Computer Vision (ECCV), Firenze, Italy, 2012
  • arxiv Link
A fast nearest neighbor search algorithm by nonlinear embedding
Yoonho Hwang, Bohyung Han, Hee-Kap Ahn
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, US, 2012
  • arxiv Link
2011
Multi-Camera Tracking with Adaptive Resource Allocation
Bohyung Han, Seong-Wook Joo, Larry Davis
International Journal of Computer Vision, Vol. 91(1), 45-58, 2011
  • arxiv Link
Scenario-Based Video Event Recognition by Constraint Flow
Suha Kwak, Bohyung Han, Joon Hee Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, US, 2011
  • arxiv Link
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Learning Occlusion with Likelihoods for Visual Tracking
Suha Kwak, Woonhyun Nam, Bohyung Han, Joon Hee Han
International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011
  • arxiv Link
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Generalized Background Subtraction based on Hybrid Inference by Belief Propagation and Bayesian Filtering
Suha Kwak, Taegyu Lim, Woonhyun Nam, Bohyung Han, Joon Hee Han
International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011
  • arxiv Link
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Improving Object Localization Using Macrofeature Layout Selection
Woonhyun Nam, Bohyung Han, Joon Hee Han
IEEE Int'l Workshop on Visual Surveillance in conjunction with ICCV, Barcelona, Spain, 2011
  • arxiv Link
Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking
Changkyu Song, Jeany Son, Suha Kwak, Bohyung Han
British Machine Vision Conference, Dundee, UK, 2011
  • arxiv Link
  • Github Link
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2009
Pedestrian Segmentation From Uncalibrated Monocular Videos Using a Projection Map
Younggwan Jo, Joon Hee Han, Woonhyun Nam
Pattern Recognition Letters, Vol. 29(16), 2099-2108, 2008
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2008
Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis
Suha Kwak, Joon Hee Han
IEEE International Symposium on Multimedia, Berkeley, CA, US, 2008
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Object handoff between uncalibrated views without planar ground assumption
Younggwan Jo, Joon Hee Han, Woonhyun Nam
Pattern Recognition Letters, Vol. 29(16), 2099-2108, 2008
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2006
Outlier correction from uncalibrated image sequence using the Triangulation method
Jaehak Kim, Joon Hee Han
Pattern Recognition, Vol. 39(3), 394-404, 2006
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A new approach to camera hand-off without camera calibration for the general scene with non-planar ground
Younggwan Jo, Joon Hee Han
ACM Multimedia Workshop on Video Surveillance and Sensor Networks, 2006
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Motion-based background modeling for foreground segmentation
Woonhyun Nam, Joon Hee Han
ACM Multimedia Workshop on Video Surveillance and Sensor Networks, 2006
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2004
2002
Euclidean Reconstruction from Contour Matches
Jong S. Park, Joon Hee Han
Pattern Recognition, Vol. 35(10), 2109-2124, 2002
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Ambiguity Distance : An edge evaluation measure using fuzziness of edges
Joon Hee Han, Tae Yong Kim
Fuzzy Sets and Systems, Vol. 126(3), 35-48, 2002
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3D Reconstruction in a Constrained Camera System
Jinwon Gu, Joon Hee Han
Pattern Recognition Letters, Vol. 23(11), 1337-1347, 2002
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2001
Model-based Discontinuity Evaluation in the DCT Domain
Tae Y. Kim, Joon Hee Han
Signal Processing, Vol. 81(4), 871-882, 2001
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A Corner Preserving Surface Inference Algorithm Using 3D Convolution
Jae-Hak Kim, Joon Hee Han
Pattern Recognition Letters, Vol. 22, 259-269, 2001
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Chord-to-point distance accumulation and planar curvature: a new approach to discrete curvature
Joon Hee Han, Timothy Poston
Pattern Recognition Letters, Vol. 22, 1133-1144, 2001
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2000
Contour Matching Using Epipolar Geometry
Joon Hee Han, Jong S. Park
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 22(4), 358-370, 2000
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1999
Geometrical interpretation of fuzzy data and shape detection
Joon Hee Han, Sung Y. Kim
IEEE International Conference on Fuzzy Systems, Seoul, Korea, 1999
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Image Indexing using Weighted Color Histogram
Dusik Park, Jongseung park, Tae Yong Kim, Joon Hee Han
IAPR International Conference on Image Analysis and Processing, Venice, Italy, 1999
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A Fuzzy K-NN Algorithm using Weights from the Variance of Membership Values
Joon Hee Han, Yoon K. Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Fort Collins, CO, US, 1999
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1998
Selection of Significant Parameters in Edge Detection Using Ambiguity Distance
Tae Yong Kim, Joon Hee Han
IEEE World Congress on Computational Intelligence, Anchorage, AK, US, 1998
A Curvature Based Approach to Contour Motion Estimation
Jongseung Park, Joon Hee Han
IEEE International Conference on Computer Vision (ICCV), Bombay, India, 1998
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Contour Motion estimation from Image Sequences Using Curvature Information
Jongseung Park, Joon Hee Han
Pattern Recognition, Vol. 31(1), 31-39, 1998
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Contour matching: a curvature-based approach
Jongseung Park, Joon Hee Han
Image and Vision Computing, Vol. 16, 181-189, 1998
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Computation of a cross section structure: a projection based approach
Myoung J. Kim, Joon Hee Han
Image and Vision Computing, Vol. 16(9-10), 653-667, 1998
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Edge Representation with Fuzzy Sets in Blurred Images
Tae Yong Kim, Joon Hee Han
Fuzzy Sets and Systems, Vol. 100(3), 77-87, 1998
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1997
Design and Implementation of a metal surface defect image acquisition system
Joon Hee Han, Kyueun Yi
IS&T/SPIE Electronic Imaging, San Jose, CA, US, 1997
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A Fuzzy Approach to Edge Detection and Representation
T. Y. Kim, Joon Hee Han
IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 1997
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Estimating optical flow by tracking contours
Jong Seung Park, Joon Hee Han
Pattern Recognition Letters, Vol. 18, 641-648, 1997
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1996
1995
Fuzzy K-NN Algorithm using Modified K-selection
Y. K. Kim, Joon Hee Han
IEEE International Conference on Fuzzy Systems, 1995
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1994
An Intelligent Land Vehicle PRV II : Design concept and performance results
K. Kim, S. Oh, S. Kim, J. Han, B. Kim, C. Kim
International Symposium on Automotive Technology and Automation, Aachen, Germany, 1994
Fuzzy Hough Transform
Joon Hee Han, Laszlo T. Koczy, Timothy Poston
Pattern Recognition Letters, Vol. 15, 649-658, 1994
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Computation of fixed surface features
Joon Hee Han, Myoung J. Kim, Timothy Poston
Pattern Recognition Letters, Vol. 15, 587-593, 1994
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1993
Distance Accumulation and Planar Curvature
Joon Hee Han, Timothy Poston
IEEE International Conference on Computer Vision (ICCV), Berlin, Germany, 1993
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Features for automatic surface inspection
Joon Hee Han, D. M. Yoon, M. K. Kang
SPIE Machine Vision Applications in Industrial Inspection, San Jose, CA, US, 1993
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An Autonomous Land Vehicle: Design and Preliminary Road Test Results
K. I. Kim, S. Y. Oh, J. S. Lee, Joon Hee Han, C. N. Lee
IEEE Intelligent Vehicles Symposium, Tokyo, Japan, 1993
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Fuzzy Hough Transform
Joon Hee Han, L. T. Koczy, Timothy Poston
IEEE International Conference on Fuzzy Systems, San Francisco. CA, US, 1993
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1992
1991
Classification of complex patterns for surface inspection
K. J. Cho, Joon Hee Han
IEEE International Conference on Robotics and Automation, Sacramento, CA, US, 1991
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1990
Extraction of hierarchical structures from complicated 2-D shapes
Joon Hee Han, M. J. Kim, K. J. Cho
SPIE Intelligent Robots and Computer Vision, Boston, MA, US, 1990
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Detection of convex and concave discontinuous points in a plane curve
Joon Hee Han
IEEE International Conference on Computer Vision (ICCV), Osaka, Japan, 1990
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