Hang Gao

       


Contact:

er@clbuensdeg.eegeh.aky unscramble

About

I am a second-year CS Ph.D. student at UC Berkeley and a member of Berkeley AI Research. Previously, I obtained my master degree from Columbia where I worked with Shih-Fu Chang. During my undergrad years in Jiao Tong University, I collaborated closely with Anind Dey.

I am interested in understanding human visual persistency and how it can be computationally replicated in machines. I strongly believe that, such a reasoning accross both space and time rarely emerges from 2D correspondence without connecting to 3D. My works therefore are currently themed with video and 3D vision, and their projection into graphics and learning.

Publications

Long-term Human Motion Prediction with Scene Context
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik
ECCV 2020 / arxiv / abstract / bib / website / code & data
Oral Presentation

@inproceedings{cao2020long,
    title={Long-term Human Motion Prediction with Scene Context},
    author={Cao, Zhe and Gao, Hang and Mangalam, Karttikeya
    and Cai, Qi-Zhi and Vo, Minh and Malik, Jitendra},
    booktitle={European Conference on Computer Vision},
    year={2019},
}
          
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
Hang Gao*, Xizhou Zhu*, Steve Lin, Jifeng Dai
ICLR 2020 / arxiv / abstract / bib / website / code

@inproceedings{gao2020deformable,
    title={Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation},
    author={Gao, Hang and Zhu, Xizhou and Lin, Steve and Dai, Jifeng},
    booktitle={International Conference on Learning Representations},
    year={2020},
}
                        
Spatio-Temporal Action Graph Networks
Roei Herzig*, Elad Levi*, Huijuan Xu*, Hang Gao, Eli Brosh, Xiaolong Wang, Amir Globerson, Trevor Darrell
ICCV 2019 Workshop / arxiv

Disentangling Propagation and Generation for Video Prediction
Hang Gao*, Huazhe Xu*, Qi-Zhi Cai, Ruth Wang, Fisher Yu, Trevor Darrell
ICCV 2019 / arxiv / abstract / bib

@inproceedings{gao2019disentangling,
    title={Disentangling Propagation and Generation for Video Prediction},
    author={Gao, Hang and Xu, Huazhe and Cai, Qi-Zhi
    and Wang, Ruth and Yu, Fisher and Darrell, Trevor},
    booktitle={Proceedings of the IEEE International Conference on Computer Vision},
    year={2019},
}
                        
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks
Hang Gao, Zheng Shou, Alireza Zareian, Hanwang Zhang, Shih-Fu Chang
NeurIPS 2018 / arxiv / abstract / bib

@inproceedings{gao2018low,
    title={Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks},
    author={Gao, Hang and Shou, Zheng and Zareian, Alireza
    and Zhang, Hanwang and Chang, Shih-Fu},
    booktitle={Advances in Neural Information Processing Systems},
    year={2018},
}
                        
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos
Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang
ECCV 2018 / arxiv / abstract / bib / code

@inproceedings{shou2018autoloc,
    title={AutoLoc: Weakly-supervised Temporal Action
    Localization in Untrimmed Videos},
    author={Shou, Zheng and Gao, Hang and Zhang, Lei
    and Miyazawa, Kazuyuki and Chang, Shih-Fu},
    booktitle={European Conference on Computer Vision},
    year={2018}
}
                        
ER: Early Recognition of Inattentive Driving Events Leveraging Audio Devices on Smartphones
Xiangyu Xu, Hang Gao, Jiadi Yu, Yingying Chen, Yanmin Zhu, Guangtao Xue, Minglu Li
INFOCOM 2017 / IEEE / abstract / bib

@inproceedings{xu2017er,
    title={ER: Early recognition of inattentive driving
    leveraging audio devices on smartphones},
    author={Xu, Xiangyu and Gao, Hang and Yu, Jiadi and
    Chen, Yingying and Zhu, Yanmin and Xue, Guangtao and Li, Minglu},
    booktitle={INFOCOM 2017-IEEE Conference on Computer
    Communications, IEEE},
    pages={1--9},
    year={2017},
    organization={IEEE}
}