Jiyang Gao

Hi, welcome to my webpage! Email: jiyangga at usc dot edu

About Me

I’m Jiyang Gao (高继扬), currently a 4th-year PhD candidate at University of Southern California, advised by Prof. Ram Nevatia. My research focus on computer vision, especially on temporal perception and reasoning in videos. I obtained my B.S. degree from Tsinghua University in 2015. I did internship at Sensetime in 2015, at Google Research during 2017 summer, at Google Cloud AI in 2018. I passed my PhD thesis defense on Nov 8th, 2018 and I will join Waymo as a perception software engineer.

Education

University of Southern California, CA, USA (Aug 2015 - Dec 2018)            
  • Doctor of Philosophy (Ph.D), Electrical Engineering
  • Advisor: Prof. Ram Nevatia
Tsinghua University, Beijing, China (Aug 2011 - Jun 2015)            
  • Bachelor of Engineering (B.E), Microelectronics
  • Graduated with Excellent Thesis Award

Experience

Google Cloud, Sunnyvale, CA, USA (May 2018 - Nov 2018)            
  • Position: Software Engineering Intern
  • Semi-supervised Object Detection
Google Research, Mountain View, CA, USA (May 2017 - Aug 2017)            
  • Position: Software Engineering Intern
  • Super large scale (100K classes) image classification, tech report .
Sensetime, Beijing, China (Feb 2015 - Jun 2015)            
  • Position: Research Intern
  • Human pose estimation with deep CNN.
Stanford University, Stanford, CA, USA (Jun 2014 - Aug 2014)            
  • Position: Research Intern, in UGVR program
  • Bladder 3D reconstruction from endoscope images using SFM.

Publications

Jiyang Gao*, Kan Chen*, Ram Nevatia, “CTAP: Complementary Temporal Action Proposal Generation”, European Conference on Computer Vision (ECCV), 2018 (* indicates equal contribution)

Jiyang Gao, Ram Nevatia, “Revisiting Temporal Modeling for Video-based Person ReID”, tech report, arxiv, code

Jiyang Gao*, Runzhou Ge*, Kan Chen, Ram Nevatia, “Motion-Appearance Co-Memory Networks for Video Question Answering”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, arxiv (* indicates equal contribution)

Kan Chen, Jiyang Gao, Ram Nevatia, “Knowledge Aided Consistency for Weakly Supervised Phrase Grounding”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, arxiv, code

Jiyang Gao, Zijian (James) Guo, Zhen Li, Ram Nevatia, “Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN”, tech report for the summer intern at Google Research, arxiv

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], arxiv, code, video

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, arxiv, code (* indicates equal contribution)

Jiyang Gao, Zhenheng Yang and Ram Nevatia, “Cascaded Boundary Regression for Temporal Action Detection”, in British Machine Vision Conference (BMVC), 2017, arxiv, code, THUMOS-14 results

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

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

Jiyang Gao and Ram Nevatia, “Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data” in Asian Conference on Computer Vision (ACCV), 2016 [Oral], arxiv

Jiyang Gao, Chen Sun and Ram Nevatia, “ACD: Action Concept Discovery from Image-Sentence Corpora” in ACM International Conference on Multimedia Retrieval (ACM ICMR), 2016 [Oral], arxiv

Professional Services

Conference Reviewer for ACM MM’17, CVPR’18, ACCV’18, WACV’19 and CVIU

Awards

Annenberg Graduate Fellowship at University of Southern California, 2015

Excellent Bachelor Thesis at Tsinghua University, 2015

Changhong Scholarship at Tsinghua University, 2014

First Prize of 31st “Challenge Cup” Student Academic Competition of Tsinghua University (as Team Leader), 2013

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