Publications

Yun Chen, Jingkang Wang, Ze Yang, Siva Manivasagam, Raquel Urtasun (2024). G3R: Gradient Guided Generalizable Reconstruction. ECCV 2024.

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Jeffrey Liu, Yun Chen, Ze Yang, Jingkang Wang, Siva Manivasagam, Raquel Urtasun (2023). Real-Time Neural Rasterization for Large Scenes. ICCV 2023.

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Ze Yang, Yun Chen, Jingkang Wang, Siva Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun (2023). UniSim: A Neural Closed-Loop Sensor Simulator.

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Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun (2021). GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving.

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Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun (2020). Learning Lane Graph Representations for Motion Forecasting. In ECCV 2020.

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Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun (2020). Dsdnet: Deep structured self-driving network. In ECCV 2020.

Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun (2020). PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. In CVPR 2020.

Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun (2019). Learning Joint 2D-3D Representations for Depth Completion. In ICCV 2019.

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Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun (2019). Multi-task multi-sensor fusion for 3d object detection. In CVPR 2019.

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Yun Chen, Junxuan Chen, Bo Xiao, Zhengfang Wu, Ying Chi, Xuansong Xie, Xiansheng Hua (2019). Volume R-CNN: Unified Framework for CT Object Detection and Instance Segmentation. In ISBI 2019.

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