Shenghua Gao, Associate Professor

Shenghua Gao, Associate Professor 

Tel:  (021) 20685094
Email: gaoshh@@shanghaitech.edu.cn
Office: Room 1A-304C, SIST Building
Major: CS
Website: https://svip-lab.github.io/news.html
Education: Ph.D., Nanyang Technological University, Singapore
Shenghua Gao Research Group Recruitment (Click Here)

RESEARCH INTERESTS

  • Computer vision and Machine Learning


BIOGRAPHY

Shenghua Gao is an associate professor at ShanghaiTech University, China. He received the B.E. degree from the University of Science and Technology of China in 2008, and received the Ph.D. degree from the Nanyang Technological University in 2012. From Jun 2012 to Aug 2014, he worked as a research scientist in UIUC Advanced Digital Sciences Center in Prof Yi Ma's group, Singapore. From Jan 2015 to June 2015, he visited UC Berkeley as a visiting professor, hosted by Prof Jitendra Malik. His research interests include computer vision and machine learning. He has published more than 50 papers on image and video understanding in many top-tier international conferences and journals. He also served as a chair for some workshops in CVPR2017, ACCV2014, ACCV2016, and area chair in ICCV2019. He also served as the Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (IF:3.558) and Neurocomputing (IF:3.224). His work on personalized saliency detection was nominated as outstanding student award (runner-up) in IJCAI 2017. He was awarded the Microsoft Research Fellowship in 2010, and ACM Shanghai Young Research Scientist in 2015.


SELECTED PUBLICATIONS

  1. Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao, “Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis”, in Proceedings of ICCV 2019, 2019

  2. Hengrong Lan, Kang Zhou, Changchun Yang, Jun Cheng, Jiang Liu, Shenghua Gao, Fei Gao, “Ki-GAN: Knowledge Infusion Generative Adversarial Network for Photoacoustic Image Reconstruction in vivo”, in Proceedings of MICCAI 2019, 2019.

  3. Ziheng Zhang, Anpei Chen, Ling Xie, Jingyi Yu, Shenghua Gao, “Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation”, in Proceedings of ACM MM 2019, 2019.

  4. Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao, “Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies”, in Proceedings of IJCAI 2019, 2019.

  5. Junhao Hu, Lei Jin, Shenghua Gao, “FPN++: A Simple Baseline for Pedestrian Detection”, in Proceedings of ICME 2019, 2019.

  6. Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao, “PPGNet: Learning Point-Pair Graph for Line Segment Detection”, in Proceedings of CVPR 2019, 2019, 2019.

  7. Hao Cheng, Dongze Lian, Bowen Deng, Shenghua Gao, Tao Tan, Yanlin Geng, “Gradually Adding Classes for Training Deep Neural Networks”, in Proceedings of CVPR 2019, 2019.

  8. Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao, “Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding”, in Proceedings of CVPR 2019, 2019.

  9. Dongze Lian, Jing Li, Jia Zheng, Weixin Luo, Shenghua Gao, “Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization”, in Proceedings of CVPR 2019, 2019.

  10. Dongze Lian, Ziheng Zhang, Weixin Luo, Lina Hu, Minye Wu, Zechao Li, Jingyi Yu, Shenghua Gao, “RGBD Based Gaze Estimation via Multi-task CNN”, in Proceedings of AAAI 2019, 2019.