1 code implementation • NAACL 2022 • Junjie Li, Jianfei Yu, Rui Xia
As a fundamental task in opinion mining, aspect and opinion co-extraction aims to identify the aspect terms and opinion terms in reviews.
no code implementations • 17 Mar 2023 • Jinggang Chen, Xiaoyang Qu, Junjie Li, Jianzong Wang, Jiguang Wan, Jing Xiao
Out-of-distribution (OOD) detection aims at enhancing standard deep neural networks to distinguish anomalous inputs from original training data.
no code implementations • 8 Mar 2023 • Guanshuo Wang, Fufu Yu, Junjie Li, Qiong Jia, Shouhong Ding
Text-based Person Search (TPS), is targeted on retrieving pedestrians to match text descriptions instead of query images.
1 code implementation • 10 Jan 2023 • Jiafan Zhuang, Zilei Wang, Junjie Li
In this paper, to tackle the misalignment issue, we propose a spatial-temporal fusion (STF) module to model dense pairwise relationships among multi-frame features.
no code implementations • 5 Nov 2022 • Junjie Li, Jietong Zhao, Yanqing Su, Jiahao Shen, Yaohua Liu, Xinyue Fan, Zheng Kou
High order structures (cavities and cliques) of the gene network of influenza A virus reveal tight associations among viruses during evolution and are key signals that indicate viral cross-species infection and cause pandemics.
no code implementations • 9 Oct 2022 • Junjie Li, Meng Ge, Zexu Pan, Longbiao Wang, Jianwu Dang
In the first stage, we pre-extract a target speech with visual cues and estimate the underlying phonetic sequence.
7 code implementations • 5 Oct 2022 • Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
1 code implementation • 12 Aug 2022 • Junjie Li, Zilei Wang, Yuan Gao, Xiaoming Hu
Such a strategy can generate the object boundaries in target domain (edge of target-domain object areas) with the correct labels.
1 code implementation • 25 Jul 2022 • Junjie Li, Yichao Yan, Guanshuo Wang, Fufu Yu, Qiong Jia, Shouhong Ding
In this paper, we take a further step and present Domain Adaptive Person Search (DAPS), which aims to generalize the model from a labeled source domain to the unlabeled target domain.
no code implementations • 14 Feb 2022 • Junjie Li, Hui Cao
Aiming at the problem that the traditional neural network model cannot adequately capture the underlying feature information of the data and cannot jointly extract key global features and deep local features, a dual-channel network model DC-EBAD based on the ERNIE pre-training model is proposed.
1 code implementation • 6 Feb 2022 • Yixin Zhang, Junjie Li, Zilei Wang
Representing the target data structure in such a way would overlook the huge low-confidence samples, resulting in sub-optimal transferability that is biased towards the samples similar to the source domain.
no code implementations • 13 Dec 2021 • Jiafan Zhuang, Yixin Zhang, Xinyu Hu, Junjie Li, Zilei Wang
In this article, we introduce the solution we used in the VSPW 2021 Challenge.
no code implementations • 29 Nov 2021 • Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang
In the meantime, we design an adaptive BN layer in the domain-invariant stream, to approximate the statistics of various unseen domains.
Domain Generalization Generalizable Person Re-identification
2 code implementations • 11 Nov 2021 • Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu
For domain adaptation tasks, however, we find that contrastive learning with the standard paradigm does not perform well.
no code implementations • ACL 2021 • Li Huang, Junjie Li, Weiwei Jiang, ZhiYu Zhang, Minchuan Chen, Shaojun Wang, Jing Xiao
Chinese Spelling Check (CSC) is a challenging task due to the complex characteristics of Chinese characters.
Ranked #1 on Chinese Spell Checking on SIGHAN 2015
1 code implementation • 25 Jul 2021 • Junjie Li, Jingyao Li, Wenbo Zhou, Shuai Lü
The training of generative adversarial networks (GANs) is usually vulnerable to mode collapse and vanishing gradients.
1 code implementation • 27 Jan 2021 • Junjie Li, Junwei Zhang, Xiaoyu Gong, Shuai Lü
Generative Adversarial Networks (GAN) is an adversarial model, and it has been demonstrated to be effective for various generative tasks.
no code implementations • 30 Mar 2020 • Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
Artificial Intelligence (AI) has achieved great success in many domains, and game AI is widely regarded as its beachhead since the dawn of AI.
no code implementations • 9 Nov 2019 • Junjie Li, Ding Liu
Recent years, many researches attempt to open the black box of deep neural networks and propose a various of theories to understand it.
no code implementations • IJCNLP 2019 • Junjie Li, Xuepeng Wang, Dawei Yin, Cheng-qing Zong
Review summarization aims to generate a condensed summary for a review or multiple reviews.
1 code implementation • COLING 2018 • Junjie Li, Haitong Yang, Cheng-qing Zong
The document representation is combined with user and overall rating information to predict aspect ratings of a review.