no code implementations • NAACL (SMM4H) 2021 • Zongcheng Ji, Tian Xia, Mei Han
This paper describes our system developed for the subtask 1c of the sixth Social Media Mining for Health Applications (SMM4H) shared task in 2021.
no code implementations • 4 Mar 2024 • Weiyi Lv, Yuhang Huang, Ning Zhang, Ruei-Sung Lin, Mei Han, Dan Zeng
In Multiple Object Tracking, objects often exhibit non-linear motion of acceleration and deceleration, with irregular direction changes.
no code implementations • 6 Feb 2024 • Canyu Zhang, YouBao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang
To make the generated dance motion smoother, a local information decoder is built for local motion enhancement.
1 code implementation • 14 Aug 2023 • Licheng Zhong, Lixin Yang, Kailin Li, Haoyu Zhen, Mei Han, Cewu Lu
Mesh is extracted from the signed distance function (SDF) network for the surface, and color for each surface vertex is drawn from the global color network.
no code implementations • 9 Jun 2023 • Zepeng Liu, Zhicheng Yang, Mingye Zhu, Andy Wong, Yibing Wei, Mei Han, Jun Yu, Jui-Hsin Lai
Image dehazing is a meaningful low-level computer vision task and can be applied to a variety of contexts.
no code implementations • 18 Jan 2023 • Xiaoye Qian, YouBao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin
To mitigate this issue, we propose Hierarchical Spatial-Temporal transFormers (HSTFormer) to capture multi-level joints' spatial-temporal correlations from local to global gradually for accurate 3D HPE.
Ranked #10 on 3D Human Pose Estimation on MPI-INF-3DHP
no code implementations • 28 Aug 2022 • YouBao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin
To the best of our knowledge, it is the first time to use keypoint regression for RECIST diameter prediction.
no code implementations • 22 Jul 2022 • Yirui Wang, Shenghua He, YouBao Tang, Jingyu Chen, Honghao Zhou, Sanliang Hong, Junjie Liang, Yanxin Huang, Ning Zhang, Ruei-Sung Lin, Mei Han
In order to cope with the increasing demand for labeling data and privacy issues with human detection, synthetic data has been used as a substitute and showing promising results in human detection and tracking tasks.
1 code implementation • CVPR 2022 • Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison
Adversarial domain generalization is a popular approach to DG, but conventional approaches (1) struggle to sufficiently align features so that local neighborhoods are mixed across domains; and (2) can suffer from feature space over collapse which can threaten generalization performance.
no code implementations • ACL 2021 • Zongcheng Ji, Tian Xia, Mei Han, Jing Xiao
Disease is one of the fundamental entities in biomedical research.
no code implementations • CVPR 2021 • Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang
Starting with a fully supervised model trained on the data with pixel-level masks, the proposed framework iteratively refines the model itself using the entire weakly labeled data (image-level soft label) in a self-training fashion.
no code implementations • 29 Apr 2021 • Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, ChiHung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Kuo Chang-Fu, Adam Harrison, Shun Miao
It first trains a DAG model on the labeled data and then fine-tunes the pre-trained model on the unlabeled data with a teacher-student SSL mechanism.
no code implementations • 24 Mar 2021 • Bolin Lai, YuHsuan Wu, Xiao-Yun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison
Lesion detection serves a critical role in early diagnosis and has been well explored in recent years due to methodological advancesand increased data availability.
no code implementations • 25 May 2020 • Yuchuan Gou, Qiancheng Wu, Minghao Li, Bo Gong, Mei Han
In this paper, we propose a novel generative network (SegAttnGAN) that utilizes additional segmentation information for the text-to-image synthesis task.
no code implementations • 30 Apr 2019 • Chuan Wen, Jie Chang, Ya zhang, Siheng Chen, Yan-Feng Wang, Mei Han, Qi Tian
Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters.
no code implementations • ICCV 2019 • Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille
Accurate multi-organ abdominal CT segmentation is essential to many clinical applications such as computer-aided intervention.
no code implementations • 5 Mar 2019 • Yu-Xing Tang, You-Bao Tang, Mei Han, Jing Xiao, Ronald M. Summers
Given a chest X-ray image in the testing phase, if it is normal, the learned architecture can well model and reconstruct the content; if it is abnormal, since the content is unseen in the training phase, the model would perform poorly in its reconstruction.
1 code implementation • CVPR 2018 • Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Accurate identification and localization of abnormalities from radiology images play an integral part in clinical diagnosis and treatment planning.