Sivabalan Manivasagam

According to our database, Sivabalan Manivasagam authored at least 25 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

LightSim: Neural Lighting Simulation for Urban Scenes.

Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun

CoRR, 2023

Neural Lighting Simulation for Urban Scenes.

Ava Pun, Gary Sun, Jingkang Wang, Yun Chen, Ze Yang, Sivabalan Manivasagam, Wei-Chiu Ma, Raquel Urtasun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reconstructing Objects in-the-wild for Realistic Sensor Simulation.

Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing.

Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Real-Time Neural Rasterization for Large Scenes.

Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniSim: A Neural Closed-Loop Sensor Simulator.

Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation.

Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2023

2022

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild.

Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation.

Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 2022

2021

Secrets of 3D Implicit Object Shape Reconstruction in the Wild.

Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

CoRR, 2021

GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition.

Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

CoRR, 2021

Adversarial Attacks On Multi-Agent Communication.

James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling.

Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles.

Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SceneGen: Learning To Generate Realistic Traffic Scenes.

Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving.

Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

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

Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, James Tu, Raquel Urtasun

CoRR, 2020

BabyAI++: Towards Grounded-Language Learning beyond Memorization.

Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam

CoRR, 2020

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

Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Feedback Inverse Problem Solver.

Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised 3D Shape Completion in the Wild.

Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

Physically Realizable Adversarial Examples for LiDAR Object Detection.

James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Recovering and Simulating Pedestrians in the Wild.

Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

Proceedings of the 4th Conference on Robot Learning, 2020

2018

Interactive Object Segmentation with Noisy Binary Inputs.

Gregory Canal, Sivabalan Manivasagam, Shaoheng Liang, Christopher J. Rozell

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018