no code implementations • ICCV 2023 • Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao
We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations.
no code implementations • 27 Oct 2022 • Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, Lin Shao, Cewu Lu
Model-based reinforcement learning (MBRL) is recognized with the potential to be significantly more sample-efficient than model-free RL.
Deformable Object Manipulation Model-based Reinforcement Learning +2
1 code implementation • CVPR 2022 • Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin
However, existing methods still have two shortcomings: (1) they neglect that the multi-contrast features at different scales contain different anatomical details and hence lack effective mechanisms to match and fuse these features for better reconstruction; and (2) they are still deficient in capturing long-range dependencies, which are essential for the regions with complicated anatomical structures.
no code implementations • 19 Mar 2022 • Qing Cai, Yiming Qian, Jinxing Li, Jun Lv, Yee-Hong Yang, Feng Wu, David Zhang
Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance.
no code implementations • 10 Dec 2021 • Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang
The dual discriminator design aims to improve the edge information in MRI reconstruction.
no code implementations • 29 Nov 2021 • Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, Wenqiang Xu, Cewu Lu
We apply our system to perform articulated object manipulation tasks, both in the simulation and the real world.
2 code implementations • CVPR 2022 • Kailin Li, Lixin Yang, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu
In contrast, data synthesis can easily ensure those diversities separately.
Ranked #3 on hand-object pose on HO-3D (using extra training data)
no code implementations • 21 Jul 2021 • Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang
Magnetic resonance imaging (MRI) is an important medical imaging modality, but its acquisition speed is quite slow due to the physiological limitations.
1 code implementation • 17 May 2021 • Jun Lv, Guangyuan Li, Xiangrong Tong, Weibo Chen, Jiahao Huang, Chengyan Wang, Guang Yang
The transfer learning results for the knee and liver were superior to those of the PI-GAN model trained with its own dataset using a smaller number of training cases.
no code implementations • 4 May 2021 • Guang Yang, Jun Lv, Yutong Chen, Jiahao Huang, Jin Zhu
However, one drawback of MRI is its comparatively slow scanning and reconstruction compared to other image modalities, limiting its usage in some clinical applications when imaging time is critical.
2 code implementations • 18 Feb 2021 • Jun Lv, Wenqiang Xu, Lixin Yang, Sucheng Qian, Chongzhao Mao, Cewu Lu
3D hand pose estimation and shape recovery are challenging tasks in computer vision.
2 code implementations • 23 Oct 2019 • Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu
We present 6-PACK, a deep learning approach to category-level 6D object pose tracking on RGB-D data.
Ranked #1 on 6D Pose Estimation using RGBD on REAL275 (Rerr metric)
no code implementations • 10 Oct 2018 • Jiawei Wang, Zhaoshui He, Chengjian Feng, Zhouping Zhu, Qinzhuang Lin, Jun Lv, Shengli Xie
Data collection and annotation are time-consuming in machine learning, expecially for large scale problem.