Siva Manivasagam

I am a graduate student at the University of Toronto. My advisor is Professor Raquel Urtasun. I'm also part of the Vector Institute and Uber ATG R&D.
I am interested in computer vision, deep learning and robotics, specifically on topics such as simulation and 3D perception for autonomous driving.

Email

Research

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang,
Bin Yang, Wenyuan Zeng, Raquel Urtasun
European Conference on Computer Vision (ECCV), 2020 (Oral)

Vehicle to vehicle communication network for self-driving.

Weakly-supervised 3D Shape Completion in the Wild
Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Yuwen Xiong,
Wenyuan Zeng, Zihao Wang, Hao Su, Raquel Urtasun
European Conference on Computer Vision (ECCV), 2020 (Spotlight)

Estimating shape and pose from partial LiDAR points clouds without ground-truth.

Deep Feedback Inverse Problem Solver
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu,
Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
European Conference on Computer Vision (ECCV), 2020 (Spotlight)

Solving inverse problems with the forward process as feedback for an update model.

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng,
Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun
Computer Vision and Pattern Recognition (CVPR), 2020 (Oral)

Realistic sensor simulation of LiDAR for closed-loop evaluation.

Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Sivabalan Manivasagam,
Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
Computer Vision and Pattern Recognition (CVPR), 2020

Universal rooftop attack that hides vehicles from LiDAR based object detectors.


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