Yun Chen
Yun Chen
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Learning Lane Graph Representations for Motion Forecasting
ECCV 2020 Oral
We propose a motion forecasting model that exploits a novel structured map representation as well as actor-map …
Ming Liang
,
Bin Yang
,
Rui Hu
,
Yun Chen
,
Renjie Liao
,
Song Feng
,
Raquel Urtasun
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Code
DOI
SOTA in ArgoVerse
Dsdnet: Deep structured self-driving network
[ECCV 2020] In this paper, we propose the Deep Structured self-Driving Network (DSDNet), which performs object detection, motion …
Wenyuan Zeng
,
Shenlong Wang
,
Renjie Liao
,
Yun Chen
,
Bin Yang
,
Raquel Urtasun
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DOI
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
[CVPR 2020]We tackle the problem of joint perception and motion forecasting in the context of self-driving vehicles. Towards this goal …
Ming Liang
,
Bin Yang
,
Wenyuan Zeng
,
Yun Chen
,
Rui Hu
,
Sergio Casas
,
Raquel Urtasun
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DOI
Learning Joint 2D-3D Representations for Depth Completion
[ICCV 2019] Depth completion using 2D-3D fusion. New SOTA achieved in KITTI.
Yun Chen
,
Bin Yang
,
Ming Liang
,
Raquel Urtasun
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Poster
DOI
SOTA on KITTI
Multi-task multi-sensor fusion for 3d object detection
[CVPR 2019] In this paper we propose to exploit multiple related tasks for accurate multi-sensor 3D object detection. Towards this …
Ming Liang
,
Bin Yang
,
Yun Chen
,
Rui Hu
,
Raquel Urtasun
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DOI
SOTA in KITTI
Volume R-CNN: Unified Framework for CT Object Detection and Instance Segmentation
[ISBI 2019] Accurate and Efficient 3D Nodule detection with 3D R-CNN.
Yun Chen
,
Junxuan Chen
,
Bo Xiao
,
Zhengfang Wu
,
Ying Chi
,
Xuansong Xie
,
Xiansheng Hua
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DOI
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