Latent Structured Active Learning. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (NIPS, 2013)

Efficient Deep Learning for Stereo Matching. - Wenjie Luo 002; Alexander G. Schwing; Raquel Urtasun (CVPR, 2016)

Exploiting Semantic Information and Deep Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (ECCV (6), 2016)

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. - Wenjie Luo 002; Yujia Li 001; Raquel Urtasun; Richard S. Zemel (NIPS, 2016)

Deep Semantic Matching for Optical Flow. - Min Bai; Wenjie Luo 002; Kaustav Kundu; Raquel Urtasun (CoRR, 2016)

Efficient Summarization with Read-Again and Copy Mechanism. - Wenyuan Zeng; Wenjie Luo 002; Sanja Fidler; Raquel Urtasun (CoRR, 2016)

DeepRoadMapper: Extracting Road Topology from Aerial Images. - Gellért Máttyus; Wenjie Luo 002; Raquel Urtasun (ICCV, 2017)

TorontoCity: Seeing the World with a Million Eyes. - Shenlong Wang; Min Bai; Gellért Máttyus; Hang Chu; Wenjie Luo 002; Bin Yang 021; Justin Liang 001; Joel Cheverie; Sanja Fidler; Raquel Urtasun (ICCV, 2017)

Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images. - Nina Merkle; Wenjie Luo 002; Stefan Auer; Rupert Müller; Raquel Urtasun (Remote. Sens., 2017)

Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds. - Chris Zhang 001; Wenjie Luo 002; Raquel Urtasun (3DV, 2018)

IntentNet: Learning to Predict Intention from Raw Sensor Data. - Sergio Casas 002; Wenjie Luo 002; Raquel Urtasun (CoRL, 2018)

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. - Wenjie Luo 002; Bin Yang 021; Raquel Urtasun (CVPR, 2018)

PIXOR: Real-Time 3D Object Detection From Point Clouds. - Bin Yang 021; Wenjie Luo 002; Raquel Urtasun (CVPR, 2018)

End-To-End Interpretable Neural Motion Planner. - Wenyuan Zeng; Wenjie Luo 002; Simon Suo; Abbas Sadat; Bin Yang 021; Sergio Casas 002; Raquel Urtasun (CVPR, 2019)

Learning to Drive: Exploiting Deep Models for Autonomous Driving. - Wenjie Luo 002 (2019)

Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. - Sean Segal; Eric Kee; Wenjie Luo 002; Abbas Sadat; Ersin Yumer; Raquel Urtasun (CoRL, 2020)

Joint Forecasting of Panoptic Segmentations with Difference Attention. - Colin Graber; Cyril Jazra; Wenjie Luo 002; Liangyan Gui; Alexander G. Schwing (CVPR Workshops, 2022)