Bin Yang

Affiliations:
  • Uber Advanced Technologies Group, USA
  • University of Toronto, Canada


According to our database1, Bin Yang authored at least 29 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Towards Unsupervised Object Detection from LiDAR Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021
PLUME: Efficient 3D Object Detection from Stereo Images.
CoRR, 2021

Auto4D: Learning to Label 4D Objects from Sequential Point Clouds.
CoRR, 2021

PLUMENet: Efficient 3D Object Detection from Stereo Images.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Diverse Complexity Measures for Dataset Curation in Self-Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Recovering and Simulating Pedestrians in the Wild.
CoRR, 2020

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
CoRR, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.
CoRR, 2020

End-to-end Contextual Perception and Prediction with Interaction Transformer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DSDNet: Deep Structured Self-driving Network.
Proceedings of the Computer Vision - ECCV 2020, 2020

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects.
Proceedings of the Computer Vision - ECCV 2020, 2020

Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Lane Graph Representations for Motion Forecasting.
Proceedings of the Computer Vision - ECCV 2020, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Recovering and Simulating Pedestrians in the Wild.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning Joint 2D-3D Representations for Depth Completion.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

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

Multi-Task Multi-Sensor Fusion for 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning to Reweight Examples for Robust Deep Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Deep Continuous Fusion for Multi-sensor 3D Object Detection.
Proceedings of the Computer Vision - ECCV 2018, 2018

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

SBNet: Sparse Blocks Network for Fast Inference.
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

HDNET: Exploiting HD Maps for 3D Object Detection.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

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


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