Shenghua Gao

• Computer vision and Machine Learning

Shenghua Gao is currently the VDI Center Director and the Deputy director of Resource Management Committee.

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.

1. Wen Liu, Zhixin Piao, Zhi Tu, Wenhao Luo, Lin Ma, Shenghua Gao, “Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021.

2. Ynyu Xu, Ziheng Zhang, Shenghua Gao, “Spherical DNNs and Their Applications in 360 Images and Videos”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Accepted, 2021

3. Yanyu Xu, Ziming Zhong, Dongze Lian, Jin Li, Zhengxin Li, Xinxing Xu, Shenghua Gao, “Crowd Counting With Partial Annotations in an Image”, in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2021.

4. Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao, “Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates”, in Proceedings of IEEE International Conference on Computer Vision (ICCV), 2021.

5. Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao, “Look Before You Leap: Learning Landmark Features For One-Stage Visual Grounding”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

6. Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao, “Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

7. Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao, “Layout-Guided Novel View Synthesis from a Single Indoor Panorama”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

8. Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao, “Prior Based Human Completion”, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

9. Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao, “SIRI: Spatial Relation Induced Network For Spatial Description Resolution”, in Proceedings of Neural Information Processing Systems (NeurIPS), 2020.

10. Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao, “Towards Fast Adaption of Neural Architectures with Meta Learning”, in Proceedings of International Conference on Learning Representations (ICLR), 2020.