Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach. - Weiyue Wang 002; Weiyao Lin; Yuanzhe Chen; Jianxin Wu 001; Jingdong Wang 001; Bin Sheng 001 (ECCV (1), 2014)

Extracting Recurrent Motion Flows from Crowded Scene Videos: A Coherent Motion-Based Approach. - Yang Mi; Lihang Liu; Weiyao Lin; Weiyue Wang 002 (BigMM, 2015)

Scene Labeling using Recurrent Neural Networks with Explicit Long Range Contextual Dependency. - Qiangui Huang; Weiyue Wang 002; Shaohua Kevin Zhou; Suya You; Ulrich Neumann (CoRR, 2016)

A Diffusion and Clustering-Based Approach for Finding Coherent Motions and Understanding Crowd Scenes. - Weiyao Lin; Yang Mi; Weiyue Wang 002; Jianxin Wu 001; Jingdong Wang 001; Tao Mei 001 (IEEE Trans. Image Process., 2016)

Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks. - Weiyue Wang 002; Qiangui Huang; Suya You; Chao Yang; Ulrich Neumann (ICCV, 2017)

Self-paced cross-modality transfer learning for efficient road segmentation. - Weiyue Wang 002; Naiyan Wang; Xiaomin Wu; Suya You; Ulrich Neumann (ICRA, 2017)

Recurrent Slice Networks for 3D Segmentation of Point Clouds. - Qiangui Huang; Weiyue Wang 002; Ulrich Neumann (CVPR, 2018)

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation. - Weiyue Wang 002; Ronald Yu; Qiangui Huang; Ulrich Neumann (CVPR, 2018)

Depth-Aware CNN for RGB-D Segmentation. - Weiyue Wang 002; Ulrich Neumann (ECCV (11), 2018)

Stochastic Video Long-term Interpolation. - Qiangeng Xu; Hanwang Zhang; Weiyue Wang 002; Peter N. Belhumeur; Ulrich Neumann (CoRR, 2018)

3DN: 3D Deformation Network. - Weiyue Wang 002; Duygu Ceylan; Radomír Mech; Ulrich Neumann (CVPR, 2019)

DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction. - Qiangeng Xu; Weiyue Wang 002; Duygu Ceylan; Radomír Mech; Ulrich Neumann (NeurIPS, 2019)

Stochastic Dynamics for Video Infilling. - Qiangeng Xu; Hanwang Zhang; Weiyue Wang 002; Peter N. Belhumeur; Ulrich Neumann (WACV, 2020)

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. - Yuning Chai; Pei Sun; Jiquan Ngiam; Weiyue Wang 002; Benjamin Caine; Vijay Vasudevan; Xiao Zhang; Dragomir Anguelov (CVPR, 2021)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. - Pei Sun; Weiyue Wang 002; Yuning Chai; Gamaleldin Elsayed; Alex Bewley; Xiao Zhang; Cristian Sminchisescu; Dragomir Anguelov (CVPR, 2021)

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. - Qiangeng Xu; Yin Zhou; Weiyue Wang 002; Charles R. Qi; Dragomir Anguelov (ICCV, 2021)

PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. - Zhaoqi Leng; Shuyang Cheng; Benjamin Caine; Weiyue Wang 002; Xiao Zhang; Jonathon Shlens; Mingxing Tan; Dragomir Anguelov (ECCV (31), 2022)

SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. - Pei Sun; Mingxing Tan; Weiyue Wang 002; Chenxi Liu 001; Fei Xia 005; Zhaoqi Leng; Dragomir Anguelov (ECCV (10), 2022)

Multi-Class 3D Object Detection with Single-Class Supervision. - Mao Ye; Chenxi Liu 001; Maoqing Yao; Weiyue Wang 002; Zhaoqi Leng; Charles R. Qi; Dragomir Anguelov (ICRA, 2022)

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. - Kan Chen; Runzhou Ge; Hang Qiu 001; Rami Ai-Rfou; Charles R. Qi; Xuanyu Zhou; Zoey Yang; Scott Ettinger; Pei Sun; Zhaoqi Leng; Mustafa Baniodeh; Ivan Bogun; et al. (ICRA, 2024)