1 code implementation • 17 Apr 2024 • Zhichao Deng, Xiangtai Li, Xia Li, Yunhai Tong, Shen Zhao, Mengyuan Liu
By transferring the knowledge of the VLM to the 4D encoder and combining the VLM, our VG4D achieves improved recognition performance.
1 code implementation • 16 Jan 2024 • Zhongbin Fang, Xia Li, Xiangtai Li, Shen Zhao, Mengyuan Liu
Through extensive experiments, we demonstrate that our PointMLS achieves state-of-the-art results on ModelNet-O and competitive results on regular datasets, and it is robust and effective.
1 code implementation • CAAI Transactions on Intelligence Technology 2023 • Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Shen Zhao, Mengyuan Liu
Multimodal-based action recognition methods have achieved high success using pose and RGB modality.
Ranked #4 on Action Recognition on NTU RGB+D 120
no code implementations • 17 Dec 2023 • Yixin Zhang, Shen Zhao, Hanxue Gu, Maciej A. Mazurowski
In situations where unlimited annotation time was available, precise annotations still lead to the highest segmentation model performance.
1 code implementation • 23 Nov 2023 • Wanying Zhang, Shen Zhao, Fanyang Meng, Songtao Wu, Mengyuan Liu
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using the recent Graph Convolutional Network (GCN).
no code implementations • ICCV 2023 • Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James Kwok, Shen Zhao, Wei zhang, Xiaodan Liang
Compared with the existing methods, GrowCLIP improves 2. 3% average top-1 accuracy on zero-shot image classification of 9 downstream tasks.
no code implementations • 26 Jul 2023 • Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu
Existing Graph Convolutional Networks to achieve human motion prediction largely adopt a one-step scheme, which output the prediction straight from history input, failing to exploit human motion patterns.
1 code implementation • 26 Apr 2023 • Bingqian Lin, Zicong Chen, Mingjie Li, Haokun Lin, Hang Xu, Yi Zhu, Jianzhuang Liu, Wenjia Cai, Lei Yang, Shen Zhao, Chenfei Wu, Ling Chen, Xiaojun Chang, Yi Yang, Lei Xing, Xiaodan Liang
In MOTOR, we combine two kinds of basic medical knowledge, i. e., general and specific knowledge, in a complementary manner to boost the general pretraining process.
no code implementations • 7 Apr 2023 • Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu
In recent years, Graph Convolutional Networks (GCNs) have been widely used in human motion prediction, but their performance remains unsatisfactory.
Ranked #3 on Human Pose Forecasting on Human3.6M
2 code implementations • 16 Mar 2023 • Weixing Chen, Yang Liu, Ce Wang, Jiarui Zhu, Shen Zhao, Guanbin Li, Cheng-Lin Liu, Liang Lin
Medical report generation (MRG) is essential for computer-aided diagnosis and medication guidance, which can relieve the heavy burden of radiologists by automatically generating the corresponding medical reports according to the given radiology image.
no code implementations • CVPR 2023 • Yanxin Long, Youpeng Wen, Jianhua Han, Hang Xu, Pengzhen Ren, Wei zhang, Shen Zhao, Xiaodan Liang
Besides, our CapDet also achieves state-of-the-art performance on dense captioning tasks, e. g., 15. 44% mAP on VG V1. 2 and 13. 98% on the VG-COCO dataset.
no code implementations • 11 Jul 2022 • Kanghao Chen, Weixian Lei, Rong Zhang, Shen Zhao, Wei-Shi Zheng, Ruixuan Wang
For the class-center involved triplet loss, the positive and negative samples in each triplet are replaced by their corresponding class centers, which enforces data representations of the same class closer to the class center.
1 code implementation • CVPR 2022 • BinBin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang
To make ROSETTA automatically determine which experience is available and useful, a prototypical task correlation guided Gating Diversity Controller(GDC) is introduced to adaptively adjust the diversity of gates for the new task based on class-specific prototypes.
no code implementations • 7 Nov 2021 • Shen Zhao, Rizwan Ahmad, Lee C. Potter
In phase-contrast magnetic resonance imaging (PC-MRI), the velocity of spins at a voxel is encoded in the image phase.
1 code implementation • 26 Sep 2021 • Shen Zhao, Rizwan Ahmad, Lee C. Potter
We propose Phase Recovery from Multiple Wrapped Measurements (PRoM) as a fast, approximate maximum likelihood estimator of velocity from multi-coil data with possible amplitude attenuation due to dephasing.
1 code implementation • 19 Apr 2020 • Shen Zhao, Lee C. Potter, Rizwan Ahmad
Purpose: To present a computational procedure for accelerated, calibrationless magnetic resonance image (Cl-MRI) reconstruction that is fast, memory efficient, and scales to high-dimensional imaging.
1 code implementation • 8 Feb 2020 • Shen Zhao, Lee C. Potter, Kiryung Lee, Rizwan Ahmad
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides exquisite soft-tissue contrast without using ionizing radiation.
no code implementations • 10 Jun 2017 • Chenchu Xu, Lei Xu, Zhifan Gao, Shen zhao, Heye Zhang, Yanping Zhang, Xiuquan Du, Shu Zhao, Dhanjoo Ghista, Shuo Li
Accurate detection of the myocardial infarction (MI) area is crucial for early diagnosis planning and follow-up management.