Wenjie Luo

Affiliations:
  • University of Toronto, Graduate Department of Computer Science, Canada (PhD 2019)


According to our database1, Wenjie Luo authored at least 14 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning to Drive: Exploiting Deep Models for Autonomous Driving.
PhD thesis, 2019

End-To-End Interpretable Neural Motion Planner.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
PIXOR: Real-Time 3D Object Detection From Point Clouds.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

IntentNet: Learning to Predict Intention from Raw Sensor Data.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds.
Proceedings of the 2018 International Conference on 3D Vision, 2018

2017
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images.
Remote. Sens., 2017

TorontoCity: Seeing the World with a Million Eyes.
Proceedings of the IEEE International Conference on Computer Vision, 2017

DeepRoadMapper: Extracting Road Topology from Aerial Images.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Efficient Summarization with Read-Again and Copy Mechanism.
CoRR, 2016

Deep Semantic Matching for Optical Flow.
CoRR, 2016

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exploiting Semantic Information and Deep Matching for Optical Flow.
Proceedings of the Computer Vision - ECCV 2016, 2016


  Loading...