Leung, Thomas

14 publications

AAAI 2024 Directed Diffusion: Direct Control of Object Placement Through Attention Guidance Wan-Duo Kurt Ma, Avisek Lahiri, John P. Lewis, Thomas Leung, W. Bastiaan Kleijn

CVPR 2024 FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion George Cazenavette, Avneesh Sud, Thomas Leung, Ben Usman

ECCV 2022 NewsStories: Illustrating Articles with Visual Summaries Reuben Tan, Bryan A. Plummer, Kate Saenko, Jp Lewis, Avneesh Sud, Thomas Leung

ICCVW 2019 Geo-Aware Networks for Fine-Grained Recognition Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam

ICML 2018 MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

CVPR 2016 Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

CVPR 2015 MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg

ICLR 2014 Deep Convolutional Ranking for Multilabel Image Annotation Yunchao Gong, Yangqing Jia, Thomas Leung, Alexander Toshev, Sergey Ioffe

CVPR 2014 Large-Scale Video Classification with Convolutional Neural Networks Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

CVPR 2014 Learning Fine-Grained Image Similarity with Deep Ranking Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu

ICCV 2011 Handling Label Noise in Video Classification via Multiple Instance Learning Thomas Leung, Yang Song, John Zhang

ECCV 2006 Context-Aided Human Recognition - Clustering Yang Song, Thomas Leung

ECCV 2004 Texton Correlation for Recognition Thomas Leung

ICCV 2001 Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung