no code implementations • 19 Jan 2023 • Shizun Wang, Weihong Zeng, Xu Wang, Hao Yang, Li Chen, Chuang Zhang, Ming Wu, Yi Yuan, Yunzhao Zeng, Min Zheng
To this end, we propose SwiftAvatar, a novel avatar auto-creation framework that is evidently superior to previous works.
no code implementations • 25 Nov 2022 • Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang
Performance of trimap-free image matting methods is limited when trying to decouple the deterministic and undetermined regions, especially in the scenes where foregrounds are semantically ambiguous, chromaless, or high transmittance.
1 code implementation • 10 Jul 2022 • Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Chuang Zhang, Jun Li
Besides, by leveraging full training set and the additional 48K raw images of KITTI, it can further improve the MonoFlex by +4. 65% improvement on AP@0. 7 for car detection, reaching 18. 54% AP@0. 7, which ranks the 1st place among all monocular based methods on KITTI test leaderboard.
no code implementations • 27 Jun 2022 • Chuang Zhang, Li Shen, Jian Yang, Chen Gong
To exploit this effect, the model prediction-based methods have been widely adopted, which aim to exploit the outputs of DNNs in the early stage of learning to correct noisy labels.
no code implementations • 9 Jun 2022 • Xiaojun Liu, Shunan Zang, Chuang Zhang, Xiaojun Chen, Yangyang Ding
In order to solve this problem, we paraphrase the reference summaries in CLTS, the Chinese Long Text Summarization dataset, correct errors of factual inconsistencies, and propose the first Chinese Long Text Summarization dataset with a high level of abstractiveness, CLTS+, which contains more than 180K article-summary pairs and is available online.
no code implementations • 21 Mar 2022 • Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong
Further, by defining a new form of data centroid, we transform the recovery problem of a label-dependent part to a centroid estimation problem.
2 code implementations • 5 Jan 2022 • Haotian Yan, Chuang Zhang, Ming Wu
In this paper, we succeed in introducing multi-scale representations into semantic segmentation ViT via window attention mechanism and further improves the performance and efficiency.
Ranked #3 on
Semantic Segmentation
on Cityscapes test
1 code implementation • 12 Dec 2021 • Lin Wan, Qianyan Jing, Zongyuan Sun, Chuang Zhang, Zhihang Li, Yehansen Chen
Much of that is due to the notorious modality bias training issue brought by the single-modality ImageNet pre-training, which might yield RGB-biased representations that severely hinder the cross-modality image retrieval.
Contrastive Learning
Cross-Modality Person Re-identification
+3
1 code implementation • 30 Nov 2021 • Shizun Wang, Ming Lu, Kaixin Chen, Jiaming Liu, Xiaoqi Li, Chuang Zhang, Ming Wu
However, existing methods mostly train the DNNs on uniformly sampled LR-HR patch pairs, which makes them fail to fully exploit informative patches within the image.
1 code implementation • ICCV 2021 • Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu
Internet video delivery has undergone a tremendous explosion of growth over the past few years.
1 code implementation • 27 Apr 2021 • Haotian Yan, Zhe Li, Weijian Li, Changhu Wang, Ming Wu, Chuang Zhang
It is also worth pointing that, given identical strong data augmentations, the performance improvement of ConTNet is more remarkable than that of ResNet.
no code implementations • 1 Jan 2021 • Zhaoqing Wang, Jiaming Liu, Yangyuxuan Kang, Mingming Gong, Chuang Zhang, Ming Lu, Ming Wu
Graph Reasoning has shown great potential recently in modeling long-range dependencies, which are crucial for various computer vision tasks.
1 code implementation • ECCV 2020 • Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, Ming Wu, Zhanyu Ma, Guodong Guo
GI unit is further improved by the SC-loss to enhance the semantic representations over the exemplar-based semantic graph.
no code implementations • 15 Mar 2020 • Kaiyan Chen, Ming Wu, Jiaming Liu, Chuang Zhang
To further promote the research of ship detection, we introduced a new fine-grained ship detection datasets, which is named as FGSD.
no code implementations • 31 Jan 2020 • Yu Lu, Muyan Feng, Ming Wu, Chuang Zhang
Human parsing is an essential branch of semantic segmentation, which is a fine-grained semantic segmentation task to identify the constituent parts of human.
no code implementations • 24 Dec 2019 • Pengcheng Liao, Chuang Zhang, Xiaojun Chen, Xiaofei Zhou
Recent neural sequence to sequence models have provided feasible solutions for abstractive summarization.
3 code implementations • CVPR 2018 2018 • Lichen Zhou, Chuang Zhang, Ming Wu
Road extraction is a fundamental task in the field of remote sensing which has been a hot research topic in the past decade.