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ORCIDWenjie Luo 0002
Person information
- affiliation (PhD 2019): University of Toronto, Graduate Department of Computer Science, Canada
Other persons with the same name
- Wenjie Luo — disambiguation page
- Wenjie Luo 0001
![[0000-0002-1712-8145]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1712-8145")
— Nanyang Technological University, School of Computer Science and Engineering, Singtel Cognitive and AI Lab for Enterprises, Singapore - Wenjie Luo 0003 — Hebei University, School of Cyber Security and Computer, China (and 1 more)
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2020 – today
- 2021
[i9]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-to-end Interpretable Neural Motion Planner. CoRR abs/2101.06679 (2021)- [i8]Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRR abs/2101.07907 (2021) - 2020
- [c10]Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun:
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. CoRL 2020: 973-983 - [i7]Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun:
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. CoRR abs/2011.06165 (2020) - [i6]Wenjie Luo, Bin Yang, Raquel Urtasun:
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net. CoRR abs/2012.12395 (2020)
2010 – 2019
- 2019
- [b1]Wenjie Luo:
Learning to Drive: Exploiting Deep Models for Autonomous Driving. University of Toronto, Canada, 2019 - [c9]Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun:
End-To-End Interpretable Neural Motion Planner. CVPR 2019: 8660-8669 - [i5]Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-time 3D Object Detection from Point Clouds. CoRR abs/1902.06326 (2019) - 2018
- [c8]Chris Zhang, Wenjie Luo, Raquel Urtasun:
Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds. 3DV 2018: 399-408 - [c7]Sergio Casas, Wenjie Luo, Raquel Urtasun:
IntentNet: Learning to Predict Intention from Raw Sensor Data. CoRL 2018: 947-956 - [c6]Wenjie Luo, Bin Yang, Raquel Urtasun:
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. CVPR 2018: 3569-3577 - [c5]Bin Yang, Wenjie Luo, Raquel Urtasun:
PIXOR: Real-Time 3D Object Detection From Point Clouds. CVPR 2018: 7652-7660 - 2017
- [j1]Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun:
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images. Remote. Sens. 9(6): 586 (2017) - [c4]Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun:
TorontoCity: Seeing the World with a Million Eyes. ICCV 2017: 3028-3036 - [c3]Gellért Máttyus, Wenjie Luo, Raquel Urtasun:
DeepRoadMapper: Extracting Road Topology from Aerial Images. ICCV 2017: 3458-3466 - [i4]Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel:
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. CoRR abs/1701.04128 (2017) - 2016
- [c2]Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun:
Exploiting Semantic Information and Deep Matching for Optical Flow. ECCV (6) 2016: 154-170 - [c1]Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel:
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. NIPS 2016: 4898-4906 - [i3]Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun:
Deep Semantic Matching for Optical Flow. CoRR abs/1604.01827 (2016) - [i2]Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun:
Efficient Summarization with Read-Again and Copy Mechanism. CoRR abs/1611.03382 (2016) - [i1]Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun:
TorontoCity: Seeing the World with a Million Eyes. CoRR abs/1612.00423 (2016)
Coauthor Index
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