Publications

Learning Discrete and Continuous Factors of Data via Alternating Disentanglement

Yeonwoo Jeong, Hyun Oh Song
International Conference on Machine Learning (ICML), 2019
paper  /  code  /  bibtex  /  demo

Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization

Seungyong Moon*, Gaon An*, Hyun Oh Song (*equal contribution)
International Conference on Machine Learning (ICML), 2019
Long talk
paper  /  code  /  bibtex

EMI: Exploration with Mutual Information

Hyoungseok Kim*, Jaekyeom Kim*, Yeonwoo Jeong, Sergey Levine, Hyun Oh Song (*equal contribution)
International Conference on Machine Learning (ICML), 2019
Long talk
paper  /  code  /  bibtex

End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization

Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song
IEEE Computer Vision and Pattern Recognition (CVPR), 2019
paper  /  code  /  bibtex

Efficient end-to-end learning for quantizable representations

Yeonwoo Jeong, Hyun Oh Song
International Conference on Machine Learning (ICML), 2018
Long talk
paper  /  code  /  bibtex

Deep Metric Learning via Facility Location

Hyun Oh Song, Stefanie Jegelka, Vivek Rathod, Kevin Murphy
IEEE Computer Vision and Pattern Recognition (CVPR), 2017
Spotlight presentation
paper  /  code  /  bibtex  /  talk video

Learning Transferrable Representations for Unsupervised Domain Adaptation

Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
Neural Information Processing Systems (NIPS), 2016
paper  /  bibtex

Deep Metric Learning via Lifted Structured Feature Embedding

Hyun Oh Song, Yu Xiang, Stefanie Jegelka, Silvio Savarese
IEEE Computer Vision and Pattern Recognition (CVPR), 2016
Spotlight presentation
paper  /  code  /  dataset  /  bibtex  /  talk video

Generalized Sparselet Models for Real-Time Multiclass Object Recognition

Hyun Oh Song, Ross Girshick, Stefan Zickler, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
paper  /  code  /  demo video 1  /  demo video 2  /  bibtex

Learning to detect visual grasp affordance

Hyun Oh Song, Mario Fritz, Daniel Goehring, Trevor Darrell
IEEE Transactions on Automation Science and Engineering (TASE), 2015
paper  /  demo video  /  bibtex

Weakly-supervised Discovery of Visual Pattern Configurations

Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
Neural Information Processing Systems (NIPS), 2014
paper  /  bibtex

On learning to localize objects with minimal supervision

Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell
International Conference on Machine Learning (ICML), 2014
paper  /  talk video  /  code  /  bibtex

Discriminatively Activated Sparselets

Hyun Oh Song*, Ross Girshick*, Trevor Darrell
International Conference on Machine Learning (ICML), 2013
Long talk
paper  /  slides  /  poster  /  supp  /  bibtex

Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition

Tim Althoff, Hyun Oh Song, Trevor Darrell
ACM Multimedia (ACMMM), 2012
paper  /  poster  /  bibtex

Sparselet Models for Efficient Multiclass Object Detection

Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross Girshick, Mario Fritz, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell
European Conference on Computer Vision (ECCV), 2012
paper  /  demo video  /  poster  /  bibtex  /  code