Publications

Updated by Ruihang Chu on 2023-09
News: DiffComplete is accepted by NeurIPS 2023, a controllable, multi-modal, and high-fidelity shape completion method using diffusion models.
News: DiT-3D is accepted by NeurIPS 2023, a Diffusion Transformer for 3D shape generation that is powerful and supports efficient fine-tuning from 2D to 3D.
News: Cart is accepted by CVPR 2023, an approach towards articulated shape manipulation driven by simple command templates.
News: TriVol is accepted by CVPR 2023, a dense while lightweight 3D representation combined with NeRF for rendering photorealistic images from point clouds.
News: TWIST is accepted by CVPR 2022, the first self-training framework for semi-supervised 3D instance segmentation.

See Google Scholar for the full list.

Journal Papers

ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Ruihang Chu, Yukang Chen, Lu Qi, Tao Kong, Lei Li
IEEE Robotics and Automation Letters (RA-L), 2021
[paper]
Co-actuation: A Method for Achieving High Stiffness and Low Inertia for Haptic Devices
Ruihang Chu, Yuru Zhang, Hongdong Zhang, Weiliang Xu, Jee-Hwan Ryu, Dangxiao Wang
IEEE Transactions on Haptics (ToH), 2020
[paper]

Conference Papers

DiffComplete: Diffusion-based Generative 3D Shape Completion
Ruihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya Jia
Conference on Neural Information Processing Systems (NeurIPS), 2023
[paper] [project page]
Command-driven Articulated Object Understanding and Manipulation
Ruihang Chu, Zhengzhe Liu, Xiaoqing Ye, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper] [video]
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation
Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[paper] [code]
Vehicle Re-identification with Viewpoint-aware Metric Learning
Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen Wei
IEEE International Conference on Computer Vision (ICCV), 2019
[paper] [code]
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo Li
Conference on Neural Information Processing Systems (NeurIPS), 2023
[paper] [project page]
Mask-Attention-Free Transformer for 3D Instance Segmentation
Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia
IEEE International Conference on Computer Vision (ICCV), 2023
[paper] [code]
TriVol: Point Cloud Rendering via Triple Volumes
Tao Hu, Xiaogang Xu, Ruihang Chu, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[paper] [code]
Simultaneous Multi-task Learning for 6-DoF Grasp Pose Estimation
Yiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei Li
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
[paper] [project]
Scale-aware Automatic Augmentation for Object Detection
Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[paper] [code]