Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang, Semi-Supervised Temporal Action Localization with Proposal-Free Temporal Mask Learning, ECCV 2022.Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang, Temporal Action Localization with Global Segmentation Mask Learning, ECCV 2022.Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang, FashionViL: Fashion-Focused Vision-and-Language Representation Learning, ECCV 2022.Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu, SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling, ECCV 2022.Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Adaptive Fine-Grained Sketch-Based Image Retrieval, ECCV 2022.Pinaki Nath Chowdhury, Aneeshan Sain, Yulia Gryaditskaya, Ayan Kumar Bhunia, Tao Xiang, Yi-Zhe Song, FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context, ECCV 2022.Sen He, Yi-Zhe Song, Tao Xiang, Style-Based Global Appearance Flow for Virtual Try-On, CVPR 2022.Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval, CVPR 2022.Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song, Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches, CVPR 2022.Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Sketch3T: Test-time Training for Zero-Shot SBIR, CVPR 2022.Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song, Partially Does It: Towards Scene-Level FG-SBIR with Partial Input, CVPR 2022.Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song, Finding Badly Drawn Bunnies, CVPR 2022.Hospedales, Tao Xiang, Yi-Zhe Song, SketchODE: Learning neural sketch representation in continuous time, ICLR 2022 Anran Qi, Yulia Gryaditskaya, Tao Xiang, Yi-Zhe Song, One Sketch for All: One-Shot Personalized Sketch Segmentation, IEEE TIP.Yonggang Qi, Guoyao Su, Qiang Wang, Jie Yang, Kaiyue Pang and Yi-Zhe Song, Generative Sketch Healing, IJCV.Belongie, Fine-Grained Image Analysis with Deep Learning: A Survey, IEEE TPAMI
Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang, Deep Learning for Free-Hand Sketch: A Survey, IEEE TPAMI
#X and o song full
He is a Senior Member of IEEE, a Fellow of the Higher Education Academy (HEA), as well as full member of the EPSRC review college. He also reviews for other international funding bodies, such as Czech Science Foundation, and São Paulo Research Foundation of Brazil.įor full publication list please refer to Google Scholar, and CSRankings. He obtained a PhD in 2008 on Computer Vision and Machine Learning from the University of Bath, a MSc (with Best Dissertation Award) in 2004 from the University of Cambridge, and a Bachelor's Degree (First Class Honours) in 2003 from the University of Bath. He founded, and currently leads the MSc in AI programme at Surrey, having previously established an MSc in AI programme at Queen Mary University of London. (*27 x CVPR, 11 x ICCV, 11 x ECCV, 2 x SIGGRAPH Asia, 1 x ICLR, 1 x ICML, 1 x NeurIPS as of July 2022)
SketchX publishes consistently in top-tier conferences* (CVPR, ICCV, ECCV, SIGGRAPH Asia, ICML, BMVC) and journals (IJCV, TIP, TVCG, TCSVT), including a Best Paper Award at British Machine Vision Conference 2015. He is also an Associate Editor of Frontiers in Computer Science – Computer Vision, and regularly serves as Area Chair (AC) for flagship computer vision and machine learning conferences, most recently as AC for ECCV'22, CVPR'22, and ICCV'21. He is an Associate Editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), the world's top-ranked journal in computer visionĪnd machine learning in terms of impact factor (16.389), and a Programme Chair for British Machine Vision Conference (BMVC) 2021. His vision for SketchX is understanding how seeing can be explained by drawing. In other words, how better understanding of human sketch data can be translated to insights of how human visual systems operate, and in turn how such insights can benefit computer vision and cognitive science at large. He leads the SketchX Lab within CVSSP - a large research group of 3 academics, 2 postdocs, and 14 full-time PhD students. Yi-Zhe Song is a Professor of Computer Vision and Machine Learning, at the Centre for Vision Speech and Signal Processing (CVSSP), one of the UK's oldest and largest research centres on Artificial Intelligence.
Please visit SketchX Lab page for recent updates.
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