Wenjie Luo

26 papers A* 7Misc 2Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — conf
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CVPR Workshops
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2022 A* conf
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CVPR
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2022 J jnl
Joint Forecasting of Panoptic Segmentations with Difference Attention.
CoRR
Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing
2021 J jnl
End-to-end Interpretable Neural Motion Planner.
CoRR
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
2021 J jnl
IntentNet: Learning to Predict Intention from Raw Sensor Data.
CoRR
Sergio Casas, Wenjie Luo, Raquel Urtasun
2020 J jnl
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net.
CoRR
Wenjie Luo, Bin Yang, Raquel Urtasun
2020 Misc conf
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs.
CoRL
Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun
2020 J jnl
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs.
CoRR
Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun
2019 A* conf
End-To-End Interpretable Neural Motion Planner.
CVPR
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun
2019 — —
Learning to Drive: Exploiting Deep Models for Autonomous Driving.
Wenjie Luo
2019 J jnl
PIXOR: Real-time 3D Object Detection from Point Clouds.
CoRR
Bin Yang, Wenjie Luo, Raquel Urtasun
2018 — conf
Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds.
3DV
Chris Zhang, Wenjie Luo, Raquel Urtasun
2018 A* conf
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net.
CVPR
Wenjie Luo, Bin Yang, Raquel Urtasun
2018 Misc conf
IntentNet: Learning to Predict Intention from Raw Sensor Data.
CoRL
Sergio Casas, Wenjie Luo, Raquel Urtasun
2018 A* conf
PIXOR: Real-Time 3D Object Detection From Point Clouds.
CVPR
Bin Yang, Wenjie Luo, Raquel Urtasun
2017 A* conf
DeepRoadMapper: Extracting Road Topology from Aerial Images.
ICCV
Gellért Máttyus, Wenjie Luo, Raquel Urtasun
2017 J jnl
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images.
Remote. Sens.
Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun
2017 A* conf
TorontoCity: Seeing the World with a Million Eyes.
ICCV
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
2017 J jnl
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.
CoRR
Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2016 J jnl
Deep Semantic Matching for Optical Flow.
CoRR
Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun
2016 A* conf
Efficient Deep Learning for Stereo Matching.
CVPR
Wenjie Luo, Alexander G. Schwing, Raquel Urtasun
2016 J jnl
Efficient Summarization with Read-Again and Copy Mechanism.
CoRR
Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun
2016 — conf
Exploiting Semantic Information and Deep Matching for Optical Flow.
ECCV (6)
Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun
2016 J jnl
TorontoCity: Seeing the World with a Million Eyes.
CoRR
Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun
2016 — conf
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.
NIPS
Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel
2013 — conf
Latent Structured Active Learning.
NIPS
Wenjie Luo, Alexander G. Schwing, Raquel Urtasun