[March, 2019] Our paper entitled "Exploiting Hierarchy for Learning and Transfer in KL-regularized RL" is now available on arXiv. This work is done during my internship at DeepMind [paper]
[Februrary, 2019] Our paper entitled "Transfer Learning via Unsupervised Task Discovery for Visual Question Answering" is accepted to CVPR 2019. [paper]
[December, 2018] Our paper entitled "Transfer Learning via Unsupervised Task Discovery for Visual Question Answering" is now available on arXiv. [paper]
[March, 2018] DELF (DEep Local Features), introduced in our paper "Large-Scale Image Retrieval with Attentive Deep Local Features", achieved state-of-the-art results in a CVPR'18 image retrieval paper: Radenovic et al., "Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking".
[July, 2017] Our paper "Large-Scale Image Retrieval with Attentive Deep Local Features" is accepted to ICCV 2017. We empirically show that local descriptor based image retrieval system still ourperforms the global descriptor based one in a large-scale instance retrieval setting and propose an attentive deep local features. This work is done during my internship at Google. [paper][code]
[October, 2016] I was selected as one of the Microsoft Research Asia Fellows.
[June, 2016] I did my internship at Google (LA), 2016/6 - 2016/12.
[Febrary, 2015] I joined Computer Vision Lab, POSTECH as a Ph.D. student
Research Intern. DeepMind., London, United Kingdom (July, 2018 - December, 2018)
Research Intern. Google Inc., Los Angeles, California, USA (June, 2016 - December, 2016)
Software Engineer. DMC R&D Center, Samsung Electronics, Korea (July, 2013 - January, 2015)