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.
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
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ICM-3D: Instantiated Category Modeling for 3D Instance SegmentationRuihang Chu, Yukang Chen, Lu Qi, Tao Kong, Lei LiIEEE Robotics and Automation Letters (RA-L), 2021 [paper] |
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Co-actuation: A Method for Achieving High Stiffness and Low Inertia for Haptic DevicesRuihang Chu, Yuru Zhang, Hongdong Zhang, Weiliang Xu, Jee-Hwan Ryu, Dangxiao WangIEEE Transactions on Haptics (ToH), 2020 [paper] |
Conference Papers
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DiffComplete: Diffusion-based Generative 3D Shape CompletionRuihang Chu, Enze Xie, Shentong Mo, Zhenguo Li, Matthias Nießner, Chi-Wing Fu, Jiaya JiaConference on Neural Information Processing Systems (NeurIPS), 2023 [paper] [project page] |
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Command-driven Articulated Object Understanding and ManipulationRuihang 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] |
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TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance SegmentationRuihang 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] |
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Vehicle Re-identification with Viewpoint-aware Metric LearningRuihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang, Yichen WeiIEEE International Conference on Computer Vision (ICCV), 2019 [paper] [code] |
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DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationShentong Mo, Enze Xie, Ruihang Chu, Lewei Yao, Lanqing Hong, Matthias Nießner, Zhenguo LiConference on Neural Information Processing Systems (NeurIPS), 2023 [paper] [project page] |
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Mask-Attention-Free Transformer for 3D Instance SegmentationXin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya JiaIEEE International Conference on Computer Vision (ICCV), 2023 [paper] [code] |
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TriVol: Point Cloud Rendering via Triple VolumesTao Hu, Xiaogang Xu, Ruihang Chu, Jiaya JiaIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [paper] [code] |
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Simultaneous Multi-task Learning for 6-DoF Grasp Pose EstimationYiming Li, Tao Kong, Ruihang Chu, Yifeng Li, Peng Wang, Lei LiIEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 [paper] [project] |
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Scale-aware Automatic Augmentation for Object DetectionYukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya JiaIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 [paper] [code] |