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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
Oral presentation
Best paper finalist

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

Collaborative Transformers for Grounded Situation Recognition

Junhyeong Cho, Youngseok Yoon, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022

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

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

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

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

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

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

Semi-supervised Semantic Segmentation with Error Localization Network

Donghyeon Kwon, Suha Kwak
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022

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

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

Fast Point Transformer

Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022

Integrative Few-Shot Learning for Classification and Segmentation

Dahyun Kang, Minsu Cho
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, 2022

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

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