Feihu Zhang  

PhD Candidate

Department of Engineering Science
Exeter College
University of Oxford


Email: feihu.zhang [at] eng.ox.ac.uk

Biography

Currently, I am a final-year DPhil/PhD student in Torr Vision Group at Univeristy of Oxford, supervised by Prof. Philip H. S. Torr and Prof. Victor Prisacariu . My research interests include computer vision, deep learning and autonomous driving. I got my MPhil Degree from The Chinese Univeristy of Hong Kong under the guidance of Prof. Benjamin Wah. Then, I worked with Prof. Ruigang Yang at Baidu's Robotics and Autonomous Driving Lab (RAL) for about one year.

News

Education

Employment

Publications [My Google Scholar]

 
Looking Beyond Single Images for Contrastive Semantic Segmentation
Feihu Zhang, Philip Torr, Rene Ranftl, Stephan Richter.
Conference on Neural Information Processing Systems (NeurIPS), 2021
 
Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation
Feihu Zhang, Oliver Woodford, Victor Prisacariu, Philip Torr.
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
(video, supplementary)
 
Deep FusionNet for Point Cloud Semantic Segmentation
Feihu Zhang, Jin Fang, Benjamin Wah, Philip Torr.
European Conference on Computer Vision (ECCV), 2020
(code, supplementary)
 
Domain-invariant Stereo Matching Newtorks
Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr.
European Conference on Computer Vision (ECCV), 2020
Oral (2%)
(code, supplementary)
 
Instance Segmentation of LiDAR Point Clouds
Feihu Zhang, Chenye Guan, Jin Fang, Song Bai, Ruigang Yang, Philip Torr, Victor Prisacariu.
IEEE International Conference on Robotics and Automation (ICRA), 2020.
(code, video, supplementary)
 
GANet: Guided Aggregation Net for End-to-end Stereo matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr.
IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019.
Oral & Best Paper Finalists (0.89%)
(project  code  slides  video)
 
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks
Feihu Zhang, Benjamin W. Wah.
IEEE International Conference on Computer Vision (ICCV), 2017.
(project  code)
 
Principles on Learning New Features for Effective Dense Matching
Feihu Zhang, Benjamin W. Wah.
IEEE Transaction on Imaging Processing (TIP), 2016.
(project  code)
 
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing
Feihu Zhang, Longquan Dai, Shiming Xiang, Xiaopeng Zhang.
IEEE International Conference on Computer Vision (ICCV), 2015.
(project  code  video  supplementary)
 
Fully Connected Guided Image Filtering
Longquan Dai, Yuanke Meng, Feihu Zhang, Xiaopeng Zhang.
IEEE International Conference on Computer Vision (ICCV), 2015.
(project  video)
 
PM-PM: PatchMatch with Potts Model for Object Segmentation and Stereo Matching
Shibiao Xu, Feihu Zhang, Xiaofei He, Xiaopeng Zhang.
IEEE Transaction on Imaging Processing (TIP) 24.7 (2015): 2182 - 2196.
(project)

Activities

Reviewer
CVPR 2020, ECCV2020, ICRA2020, AAAI 2020, CVPR 2018, CVPR 2019, ICCV 2019
International Journal of Computer Vision (IJCV)
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
IEEE Transactions on Robotics
Pattern Recognition
IEEE Transactions on Circuits and Systems II (Signal Processing Section)
IEEE Signal Processing Letters