Search Results for author: Junjie Li

Found 36 papers, 16 papers with code

Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-Extraction

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.

Data Augmentation Opinion Mining +2

Cross-Modal Spherical Aggregation for Weakly Supervised Remote Sensing Shadow Removal

no code implementations25 Jun 2024 Kaichen Chi, Wei Jing, Junjie Li, Qiang Li, Qi Wang

To fill this gap, we propose a weakly supervised shadow removal network with a spherical feature space, dubbed S2-ShadowNet, to explore the best of both worlds for visible and infrared modalities.

Shadow Removal

A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce

no code implementations17 May 2024 Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu

These issues can result in the suboptimal performance of multi-scenario models in handling both S&R scenarios.

Audio-Visual Target Speaker Extraction with Reverse Selective Auditory Attention

no code implementations29 Apr 2024 Ruijie Tao, Xinyuan Qian, Yidi Jiang, Junjie Li, Jiadong Wang, Haizhou Li

To this end, we propose a novel reverse selective auditory attention mechanism, which can suppress interference speakers and non-speech signals to avoid incorrect speaker extraction.

Target Speaker Extraction

IPAD: Industrial Process Anomaly Detection Dataset

no code implementations23 Apr 2024 Jinfan Liu, Yichao Yan, Junjie Li, Weiming Zhao, Pengzhi Chu, Xingdong Sheng, Yunhui Liu, Xiaokang Yang

Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human activity scenes.

Anomaly Detection Video Anomaly Detection +1

Rethinking Clothes Changing Person ReID: Conflicts, Synthesis, and Optimization

no code implementations19 Apr 2024 Junjie Li, Guanshuo Wang, Fufu Yu, Yichao Yan, Qiong Jia, Shouhong Ding, Xingdong Sheng, Yunhui Liu, Xiaokang Yang

However, such improvement sacrifices the performance under the standard protocol, caused by the inner conflict between standard and CC.

Clothes Changing Person Re-Identification

Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language Models

1 code implementation3 Apr 2024 Haoran Sun, Lixin Liu, Junjie Li, Fengyu Wang, Baohua Dong, Ran Lin, Ruohui Huang

To address this challenge, we introduce Conifer, a novel instruction tuning dataset, designed to enhance LLMs to follow multi-level instructions with complex constraints.

Instruction Following

EL-VIT: Probing Vision Transformer with Interactive Visualization

no code implementations23 Jan 2024 Hong Zhou, Rui Zhang, Peifeng Lai, Chaoran Guo, Yong Wang, Zhida Sun, Junjie Li

Therefore, a visualization system is needed to assist ViT users in understanding its functionality.

Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach

1 code implementation ICCV 2023 Qinying Liu, Zilei Wang, Shenghai Rong, Junjie Li, Yixin Zhang

It comprises two core components: a snippet clustering component that groups the snippets into multiple latent clusters and a cluster classification component that further classifies the cluster as foreground or background.

Classification Clustering +4

SEF-VC: Speaker Embedding Free Zero-Shot Voice Conversion with Cross Attention

no code implementations14 Dec 2023 Junjie Li, Yiwei Guo, Xie Chen, Kai Yu

Zero-shot voice conversion (VC) aims to transfer the source speaker timbre to arbitrary unseen target speaker timbre, while keeping the linguistic content unchanged.

Position Voice Conversion

GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection

1 code implementation NeurIPS 2023 Jinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao

This perspective is motivated by our observation that gradient-based attribution methods encounter challenges in assigning feature importance to OOD data, thereby yielding divergent explanation patterns.

Feature Importance Out-of-Distribution Detection

Generalizable Person Search on Open-world User-Generated Video Content

no code implementations16 Oct 2023 Junjie Li, Guanshuo Wang, Yichao Yan, Fufu Yu, Qiong Jia, Jie Qin, Shouhong Ding, Xiaokang Yang

Person search is a challenging task that involves detecting and retrieving individuals from a large set of un-cropped scene images.

Domain Generalization Person Search

SoccerNet 2023 Challenges Results

2 code implementations12 Sep 2023 Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, Kenji Kobayashi, Kexin Zhang, Konrad Habel, Kota Nakajima, Licheng Jiao, Lin Ma, Lizhi Wang, Luping Wang, Menglong Li, Mengying Zhou, Mohamed Nasr, Mohamed Abdelwahed, Mykola Liashuha, Nikolay Falaleev, Norbert Oswald, Qiong Jia, Quoc-Cuong Pham, Ran Song, Romain Hérault, Rui Peng, Ruilong Chen, Ruixuan Liu, Ruslan Baikulov, Ryuto Fukushima, Sergio Escalera, Seungcheon Lee, Shimin Chen, Shouhong Ding, Taiga Someya, Thomas B. Moeslund, Tianjiao Li, Wei Shen, Wei zhang, Wei Li, Wei Dai, Weixin Luo, Wending Zhao, Wenjie Zhang, Xinquan Yang, Yanbiao Ma, Yeeun Joo, Yingsen Zeng, Yiyang Gan, Yongqiang Zhu, Yujie Zhong, Zheng Ruan, Zhiheng Li, Zhijian Huang, Ziyu Meng

More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.

Action Spotting Camera Calibration +4

Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing

no code implementations17 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.

Out of Distribution (OOD) Detection

Exploiting the Textual Potential from Vision-Language Pre-training for Text-based Person Search

no code implementations8 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.

Attribute Person Search +2

Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement

1 code implementation10 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.

Optical Flow Estimation Semantic Segmentation +1

Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation

1 code implementation CVPR 2023 Shenghai Rong, Bohai Tu, Zilei Wang, Junjie Li

The existing weakly supervised semantic segmentation (WSSS) methods pay much attention to generating accurate and complete class activation maps (CAMs) as pseudo-labels, while ignoring the importance of training the segmentation networks.

Segmentation Weakly supervised Semantic Segmentation +1

Efficient Cavity Searching for Gene Network of Influenza A Virus

no code implementations5 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.

Virology

VCSE: Time-Domain Visual-Contextual Speaker Extraction Network

no code implementations9 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.

Lip Reading

SoccerNet 2022 Challenges Results

7 code implementations5 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.

Action Spotting Camera Calibration +3

Domain Adaptive Person Search

2 code implementations25 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.

Pedestrian Detection Person Re-Identification +1

Research on Dual Channel News Headline Classification Based on ERNIE Pre-training Model

no code implementations14 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.

Classification

Low-confidence Samples Matter for Domain Adaptation

1 code implementation6 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.

Contrastive Learning Domain Adaptation

5th Place Solution for VSPW 2021 Challenge

no code implementations13 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.

Semantic Segmentation

TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification

no code implementations29 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 +1

Probabilistic Contrastive Learning for Domain Adaptation

2 code implementations11 Nov 2021 Junjie Li, Yixin Zhang, Zilei Wang, Keyu Tu, Saihui Hou

However, it is undesirably observed that the standard contrastive paradigm (features+$\ell_{2}$ normalization) only brings little help for domain adaptation.

Contrastive Learning Representation Learning +4

Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

1 code implementation27 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.

Knowledge Distillation

Suphx: Mastering Mahjong with Deep Reinforcement Learning

no code implementations30 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.

reinforcement-learning Reinforcement Learning (RL)

Information Bottleneck Theory on Convolutional Neural Networks

no code implementations9 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.

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