Yun Chen

According to our database, Yun Chen authored at least 14 papers between 2019 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

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

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

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

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

Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving.

James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

DSDNet: Deep Structured Self-driving Network.

Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Lane Graph Representations for Motion Forecasting.

Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2020, 2020

PnPNet: End-to-End Perception and Prediction With Tracking in the Loop.

Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun

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

2019

Learning Joint 2D-3D Representations for Depth Completion.

Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Multi-Task Multi-Sensor Fusion for 3D Object Detection.

Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019