Zhenheng Yang (杨振恒)

Welcome to my personal webpage.


I am now a fourth-year Ph.D. candidate in Electrical Engingeering department at University of Southern California. I received B.E. degree from Tsinghua University in 2014. I am advised by Prof. Ram Nevatia.

My research interests fall in the scope of computer vision and machine learning.

More about me: Resume, Google scholar, Github.

Email: zhenheny at usc.edu

Office: PHE 232, 3737 Watt Way, Los Angeles, CA 90007

Education

University of Southern California, Los Angeles, CA (Aug 2014 - Current)
  • Doctor of Philosophy (Ph.D)
  • Advisor: Ram Nevatia
Tsinghua University, Beijing, China (Aug. 2010 - Jul. 2014)
  • Bachelor of Engineering (B.E.)

Work Experience

Facebook Research, Menlo Park, CA (May. 2018 - Aug. 2018)
Baidu Research, Sunnyvale, CA (May. 2017 - Aug. 2017)
University of Southern California, CA (Aug. 2014 - Current)

Publications

Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu and Ram Nevatia, “Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding”, arXiv preprint, 2018. [paper]

Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu and Ram Nevatia, “LEGO: Learning Edge with Geometry all at Once by Watching Videos”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Spotlight. [paper], [code], [demo], [presentation]

Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang and Wei Xu, “Occlusion Aware Unsupervised Learning of Optical Flow”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [paper]

Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao and Ram Nevatia, “Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency”, AAAI Conference on Artificial Intelligence (AAAI), 2018, Oral. [paper]

KangGeon Kim*, Zhenheng Yang*, Iacopo Masi, Ram Nevatia and Gerard Medioni, “Face and Body Association for Video-Based Face Recognition”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2018. [paper] [model]

Jiyang Gao*, Zhenheng Yang*, Kan Chen, Chen Sun and Ram Nevatia, “TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals”, in International Conference on Computer Vision (ICCV), 2017. [paper], [code]

Zhenheng Yang, Jiyang Gao and Ram Nevatia, “Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation”, British Machine Vision Conference (BMVC), 2017 Oral. [paper], [presentation]

Jiyang Gao, Chen Sun, Zhenheng Yang and Ram Nevatia, “TALL: Temporal Activity Localization via Language Query”, in International Conference on Computer Vision (ICCV), 2017, Spotlight. [paper], [code], [presentation]

Jiyang Gao, Zhenheng Yang and Ram Nevatia, “Cascaded Boundary Regression for Temporal Action Detection”, British Machine Vision Conference (BMVC), 2017. [paper], [code], [Results]

Jiyang Gao, Zhenheng Yang and Ram Nevatia, “RED: Reinforced Encoder-Decoder Network for Action Anticipation”, British Machine Vision Conference (BMVC), 2017 Oral. [paper], [presentation]

Zhenheng Yang and Ram Nevatia, “A multi-scale cascade fully convolutional network face detector”, International Conference on Pattern Recognition (ICPR), 2016. [paper], [model]

Academic Services

Reviewer: AAAI 2019, WACV 2019, ECCV workshop 2018, CVPR 2018, AAAI 2018, ACCV 2018, ACM MM 2017, ICCV workshop 2017, IPTA 2017

Program committee member: AAAI 2019, ICCV CHI workshop 2017