Shuai (a.k.a, Kyle) Zheng
Research Scientist, DPhil (a.k.a. Ph.D)
Palo Alto, California
Shuai (Kyle) Zheng is a research scientist at a well-capitalized Stealth Mode AI Startup based in Palo Alto, California, where he is working on both fundamental and practical problems in Computer Vision and Deep Learning.
Previously, he was a research scientist at CoreAI team and New product development team, 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.
#Computer Vision#: Extensive Research & Development experience with semantic image segmentation, object detection, image classification, image processing, optical flow, visual search, vision and language, face tracking, gait recognition, and person re-identification, etc.
#Machine Learning#: Extensive experience with various machine learning algorithms, including probabilistic graphical models, deep learning, sparse coding, transfer learning, semi-supervised learning, etc.
#Tools#: Hands-on experience with Caffe, Tensorflow, Keras, Caffe2, MxNet, OpenCV, Git, AWS, Google Cloud, Google Cloud TPU, and Docker.
Contact me through:
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 super computer 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):
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.
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)
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)
Huikai Wu, Shuai Zheng, Junge Zhang, and Kaiqi Huang. GP-GAN: Towards Realistic High-Resolution Image Blending. ACM Multimedia, 2019. ( arXiv:1703.07195) [code]