Bin Yang

Bin Yang

University of Toronto

H-index: 32

North America-Canada

About Bin Yang

Bin Yang, With an exceptional h-index of 32 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Computer Vision, Deep Learning, Autonomous Driving.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

Sparse Convolutional Neural Networks

Multi-Task Multi-Sensor Fusion for Three-Dimensional Object Detection

Perception and motion prediction for autonomous devices

End-To-End Interpretable Motion Planner for Autonomous Vehicles

Towards unsupervised object detection from lidar point clouds

Three-dimensional object detection

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

Bin Yang Information

University

Position

___

Citations(all)

10053

Citations(since 2020)

9291

Cited By

3637

hIndex(all)

32

hIndex(since 2020)

32

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

Google Scholar

Bin Yang Skills & Research Interests

Computer Vision

Deep Learning

Autonomous Driving

Top articles of Bin Yang

Title

Journal

Author(s)

Publication Date

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

2024/1/11

Sparse Convolutional Neural Networks

2021/10/21

Multi-Task Multi-Sensor Fusion for Three-Dimensional Object Detection

2023/2/9

Perception and motion prediction for autonomous devices

2023/1/10

End-To-End Interpretable Motion Planner for Autonomous Vehicles

2023/11/16

Towards unsupervised object detection from lidar point clouds

Lunjun Zhang

Anqi Joyce Yang

Yuwen Xiong

Sergio Casas

Bin Yang

...

2023

Three-dimensional object detection

2023/9/26

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

2023/9/19

Systems and methods for training object detection models using adversarial examples

2021/9/30

Systems and methods for object detection, tracking, and motion prediction

2022/10/18

Automatic Annotation of Object Trajectories in Multiple Dimensions

2022/5/19

Systems and Methods for Simulating Dynamic Objects Based on Real World Data

2022/2/3

Diverse Complexity Measures for Dataset Curation in Self-driving

IROS 21

Abbas Sadat

Sean Segal

Sergio Casas

James Tu

Bin Yang

...

2021

Systems and Methods for Integrating Radar Data for Improved Object Detection in Autonomous Vehicles

2021/9/9

PLUMENet: Efficient 3D Object Detection from Stereo Images

Yan Wang

Bin Yang

Rui Hu

Ming Liang

Raquel Urtasun

2021

Systems and Methods for Autonomous Vehicle Systems Simulation

2021/9/9

Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving

Bob Wei

Mengye Ren

Wenyuan Zeng

Ming Liang

Bin Yang

...

2021/5/30

Systems and Methods for Using Attention Masks to Improve Motion Planning

2021/9/9

Systems and Methods for Jointly Performing Perception, Perception, and Motion Planning for an Autonomous System

2021/5/20

Auto4d: Learning to label 4d objects from sequential point clouds

arXiv preprint arXiv:2101.06586

Bin Yang

Min Bai

Ming Liang

Wenyuan Zeng

Raquel Urtasun

2021/1/17

See List of Professors in Bin Yang University(University of Toronto)