Shuai (a.k.a, Kyle) Zheng
Research Scientist, DPhil (a.k.a. Ph.D)
[Curriculum Vitae] [Linkedin] [Google Scholar Profile] [Research] [GitHub]
Bio:
Shuai (Kyle) Zheng is working at Cruise LLC, where he is working on computer vision and deep learning for self-driving vehicles.
Previously, he was at Verkada, Dawnlight Technologies Inc, eBay Inc. He has published papers in premier conferences and journals including ACM TOG (SIGGRAPH), IEEE SPM, ACM Multimedia, PR, CGF, CVPR, ICCV, and ECCV, etc. He is an active reviewer and program committee for 20+ journals and conferences. He has completed DPhil at the University of Oxford and supervised by Prof. Philip H. S. Torr.
News:
The Learning from limited & Imperfect Data Workshop at CVPR 2021 (Virtual).
Winner solutions for the 4th LPCVC (Low-power computer vision challenge 2020) object detection and image classification tasks are now released. Joint work Dawnlight and MIT Han lab.
The 2nd Learning from Imperfect Data Challenge and Workshop at CVPR 2020 Seattle USA, Welcome to contribute and participate!
Learning from Imperfect Data Challenge and Workshop at CVPR 2019, Long Beach, USA, Welcome to contribute and participate!
Interactive Visual Search, eBay Tech blog, Jan 22, 2019.
ModaNet, eBay Tech blog, Nov 4, 2018.
Large-scale Product Image Recognition using Cloud TPU, eBay Tech blog, Jul 24, 2018. [Tensor Processing Units (TPU) Pod is a supercomputer for distributed computing, see more in Fei-Fei Li’s keynote, Larry Colagiovanni’s talk, Empowering businesses and developers to do more with AI.]
Latest Publications (More):
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Måns Larsson, Anurag Arnab, Shuai Zheng, Philip Torr, Fredrik Kahl. Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference. vol 11 (4), pp 2610-2628, SIAM Journal on Imaging Sciences 2018.
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- Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu. ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations. ACM Multimedia 2018. (Full Paper, Oral Presentation) [ COCO-style annotation dataset][related to paperdoll dataset][leaderboard][Slides PDF 48.44MB][Article]
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Bryan A. Plummer, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu. Give me a hint! Navigating Image Databases using Human-in-the-loop Feedback. WACV 2019. (accepted, arXiv:1809.08714)
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Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang.Fast End-to-End Trainable Guided Filter. CVPR 2018. [code][demo]
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Bryan A. Plummer, Paige Kordas, M. Hadi Kiapour, Shuai Zheng, Robinson Piramuthu, Svetlana Lazebnik. Conditional Image-Text Embedding Networks. ECCV 2018. [code]
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Anurag Arnab*, Shuai Zheng*, Sadeep Jayasumana, Bernardino Romera-Paredes, Mans Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, and Philip H. S. Torr. Conditional Random Fields meet Deep Neural Networks for Semantic Segmentation. IEEE Signal Processing Magazine Special Issue in Deep Learning for Visual Understanding White Paper. 2018. (* joint author)
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Huikai Wu, Shuai Zheng, Junge Zhang, and Kaiqi Huang. GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia, 2019. ( arXiv:1703.07195) [code]
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