no code implementations • Findings (EMNLP) 2021 • Zhiwei Yang, Jing Ma, Hechang Chen, Yunke Zhang, Yi Chang
Specifically, we first utilize a two-phase module to generate span representations by aggregating context information based on a bottom-up and top-down transformer network.
1 code implementation • 6 May 2024 • Bo wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang
To detect fake news from a sea of diverse, crowded and even competing narratives, in this paper, we propose a novel defense-based explainable fake news detection framework.
2 code implementations • 12 Apr 2024 • Zhiwei Yang, Yucong Meng, Kexue Fu, Shuo Wang, Zhijian Song
When activating class objects, we argue that the false activation stems from the bias to the ambiguous regions during the feature extraction.
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 12 Apr 2024 • Zhiwei Yang, Jing Liu, Peng Wu
Further, we propose a learnable text prompt mechanism with the assist of a normality visual prompt to further improve the matching accuracy of video event description text and video frames.
1 code implementation • 28 Feb 2024 • Zhiwei Yang, Kexue Fu, Minghong Duan, Linhao Qu, Shuo Wang, Zhijian Song
In this work, we devise a 'Separate and Conquer' scheme SeCo to tackle this issue from dimensions of image space and feature space.
no code implementations • 28 Jan 2024 • Minghong Duan, Linhao Qu, Zhiwei Yang, Manning Wang, Chenxi Zhang, Zhijian Song
To the best of our knowledge, this is the first work to achieve arbitrary-scale super-resolution in pathology images.
1 code implementation • 25 Oct 2023 • Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Zhiwei Yang
This model only requires bag-level labels for training but is capable of inferring both sentence-level misinformation and article-level veracity, aided by relevant social media conversations that are attentively contextualized with news sentences.
1 code implementation • 17 Oct 2023 • Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, QuanLin Li, Pinghong Zhou, Yike Guo
EndoKED automates the transformation of raw colonoscopy records into image datasets with pixel-level annotation.
1 code implementation • 11 Jul 2023 • Linhao Qu, Yingfan Ma, Zhiwei Yang, Manning Wang, Zhijian Song
In this paper, we formulate this scenario as an open-set AL problem and propose an efficient framework, OpenAL, to address the challenge of querying samples from an unlabeled pool with both target class and non-target class samples.
no code implementations • 21 Jun 2023 • Zhiwei Yang
This paper applies the Hotelling model to the context of exhaustible human resources in China.
no code implementations • 30 Apr 2023 • Minghui Yang, Jing Liu, Zhiwei Yang, Zhaoyang Wu
Focusing on more effective and comprehensive anomaly detection, we propose a network based on self-supervised learning and self-attentive graph convolution (SLSG) for anomaly detection.
Ranked #3 on Anomaly Detection on MVTec LOCO AD
no code implementations • CVPR 2023 • Zhiwei Yang, Jing Liu, Zhaoyang Wu, Peng Wu, Xiaotao Liu
Video anomaly detection (VAD) is a significant computer vision problem.
no code implementations • 9 Apr 2023 • Linhao Qu, Minghong Duan, Zhiwei Yang, Manning Wang, Zhijian Song
Existing super-resolution models for pathology images can only work in fixed integer magnifications and have limited performance.
no code implementations • 4 Apr 2023 • Hongzhan Lin, Jing Ma, Ruichao Yang, Zhiwei Yang, Mingfei Cheng
The truth is significantly hampered by massive rumors that spread along with breaking news or popular topics.
no code implementations • ICCV 2023 • Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song
However, there are still three important issues that have not been fully addressed: (1) positive bags with a low positive instance ratio are prone to the influence of a large number of negative instances; (2) the correlation between local and global features of pathology images has not been fully modeled; and (3) there is a lack of effective information interaction between different magnifications.
1 code implementation • COLING 2022 • Zhiwei Yang, Jing Ma, Hechang Chen, Hongzhan Lin, Ziyang Luo, Yi Chang
Existing fake news detection methods aim to classify a piece of news as true or false and provide veracity explanations, achieving remarkable performances.
1 code implementation • 22 Jul 2022 • Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu
Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks: (1) Establishing a memory bank requires additional memory space.
1 code implementation • 20 May 2022 • Xing Chen, Dongcui Diao, Hechang Chen, Hengshuai Yao, Haiyin Piao, Zhixiao Sun, Zhiwei Yang, Randy Goebel, Bei Jiang, Yi Chang
The popular Proximal Policy Optimization (PPO) algorithm approximates the solution in a clipped policy space.
no code implementations • Findings (NAACL) 2022 • Ziyang Luo, Yadong Xi, Jing Ma, Zhiwei Yang, Xiaoxi Mao, Changjie Fan, Rongsheng Zhang
In contrast, Transformer Decoder with the causal attention masks is naturally sensitive to the word order.
1 code implementation • Findings (NAACL) 2022 • Hongzhan Lin, Jing Ma, Liangliang Chen, Zhiwei Yang, Mingfei Cheng, Guang Chen
Massive false rumors emerging along with breaking news or trending topics severely hinder the truth.
no code implementations • EMNLP 2021 • Hongzhan Lin, Jing Ma, Mingfei Cheng, Zhiwei Yang, Liangliang Chen, Guang Chen
Rumors are rampant in the era of social media.
1 code implementation • ECCV 2020 • Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu, Zhiwei Yang
Violence detection has been studied in computer vision for years.