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XingJiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Cheng Jin, Liang He, Cross-Domain Document Layout Analysis via Document Style Guide, Expert Systems with Applications (ESWA), 2024
LeoWu TomyEnrique, Xiangcheng Du, Kangliang Liu, Han Yuan, Zhao Zhou, Cheng Jin, Efficient Scene Text Image Super-Resolution With Semantic Guidance, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024
Kelvin Ting Zuo Han, Shengxuming Zhang, Gerard Marcos Freixas, Zunlei Feng, Cheng Jin, Target Optimization Direction Guided Transfer Learning For Image, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024
Kaiyi Zhang, Yang Chen, Ximing Yang, Weizhong Zhang, Cheng Jin, Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection, AAAI Conference on Artificial Intelligence (AAAI) 2024
Yanlu Cai, Weizhong Zhang, Yuan Wu, Cheng Jin, FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation, AAAI Conference on Artificial Intelligence (AAAI) 2024
Tianlong Ma, Xiangcheng Du, Xingjiao Wu, Zhao Zhou, Yingbin Zheng, Cheng Jin, Reading Scene Text with Aggregated Temporal Convolutional Encoder, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023
Cong Zou, Rui Wang, Cheng Jin, Sanyi Zhang, Xin Wang, S^2CL-Leaf Net: Recognizing Leaf Images Like Human Botanists, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 2023 (paper)
Jian Ma, Xiaoyin Zhang, Cheng Jin, Ping An, Guoming Xu, Light Field Image Quality Assessment Using Natural Scene Statistics and Texture Degradation, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023 (paper)
Xiangcheng Du, Zhao Zhou, Yingbin Zheng, Xingjiao Wu, Tianlong Ma, Cheng Jin, Progressive Scene Text Erasing with Self-Supervision, Computer Vision and Image Understanding (CVIU) 2023 (paper)
Tianlong Ma, Xingjiao Wu, Xiangcheng Du, Yanlong Wang, Cheng Jin, Image Layer Modeling for Complex Document Layout Generation, The IEEE International Conference on Multimedia & Expo (ICME) 2023 (paper)
Hao Ren, Wu Ran, Xingson Liu, Haoran Ren, Hong Lu, Rui Zhang, Cheng Jin, Weakly-supervised Temporal Action Localization with Adaptive Clustering and Refining Network, The IEEE International Conference on Multimedia & Expo (ICME) 2023 (paper)
Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, DDT: Dual-branch Deformable Transformer for Image Denoising, The IEEE International Conference on Multimedia & Expo (ICME) 2023 (paper, code)
Weilin Wan, Weizhong Zhang, Cheng Jin, Pose-motion Video Anomaly Detection Via Memory-augmented Reconstruction And Conditional Variational Prediction, The IEEE International Conference on Multimedia & Expo (ICME) 2023 (paper)
段梦梦，金城，基于Transformer特征融合的时间序列分类网络，计算机科学，2023(12)
王尚尚，金城，基于图像重构与语义差异识别的表面异常检测，计算机科学，2023(11) (code)
郑泉石，金城，基于自适应预测的2D人体姿态估计，计算机科学，2023(11)专辑 (code)
王威，杜响成，金城，基于上下文门控残差和多尺度注意力的图像重照明网络，计算机科学，2023(9) (code)
Haoran Ren, Hao Ren, Hong Lu, Cheng Jin, Weakly-supervised Temporal Action Localization with Regional Similarity Consistency, International Conference on Multimedia Modeling (MMM) 2023 (paper, code)
Xiangcheng Du, Zhao Zhou, Yingbin Zheng, Tianlong Ma, Xingjiao Wu, Cheng Jin, Modeling Stroke Mask for End-to-End Text Erasing, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 (paper, code)
Hao Zhang, Xin Chen, Heming Jing, Yingbin Zheng, Yuan Wu, Cheng Jin, ETR: An Efficient Transformer for Re-ranking in Visual Place Recognition, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023 (paper, code)
Hao Ren, Haoran Ren, Wu Ran, Hong Lu, and Cheng Jin, Weakly-supervised Temporal Action Localization with Multi-head Cross-modal Attention, The Pacific Rim International Conferences on Artificial Intelligence (PRICAI) 2022 (paper, code)
Sibo Luo, Shangshang Wang, Yuan Wu, Cheng Jin, Memory Enhanced Spatial-Temporal Graph Convolutional Autoencoder for Human-related Video Anomaly Detection, Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2022 (paper, code)
Yuan Wu, Yanlu Cai, Rui Feng, Cheng Jin, ST2PE: Spatial and Temporal Transformer for Pose Estimation, The International Conference on Artificial Neural Networks (ICANN) 2022 (paper)
Rui Cao, Kaiyi Zhang, Yang Chen, Ximing Yang, Cheng Jin, Point Cloud Completion via Multi-Scale Edge Convolution and Attention, ACM Multimedia 2022 (paper)
Haoyue Qiu, Mengmeng Duan, Yuan Wu, Cheng Jin, GLTA-GCN: Global-Local Temporal Attention Graph Convolutional Network for Unsupervised Skeleton-based Action Recognition, The IEEE International Conference on Multimedia & Expo (ICME) 2022 (paper, code)
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song, Safe Distillation Box, AAAI Conference on Artificial Intelligence (AAAI) 2022 (paper)
Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin, Attention-based Transformation from Latent Features to Point Clouds, AAAI Conference on Artificial Intelligence (AAAI) 2022 (paper, code)
Ximing Yang, Yuan Wu, Kaiyi Zhang, Cheng Jin, CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating, AAAI Conference on Artificial Intelligence (AAAI) 2021 (paper, code, poster, demo)
Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song, One-sample Guided Object Representation Disassembling, Conference on Neural Information Processing Systems (NeurIPS) 2020 (paper)
Yanlu Cai, Yuqing Li, Runyu Peng, Yipei Xu, Chenzhe Jin, Cheng Jin, Look into Multi-Person: A New Benchmark for Pose Estimation and Human Parsing, IEEE International Conference on Big Data 2020 (paper)
Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan, Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention, AAAI Conference on Artificial Intelligence (AAAI) 2019 (paper)
Yuanfang Guo, Xiaochun Cao, Rui Wang, Cheng Jin, A New Data Embedding Method with a New Data Embedding Domain for JPEG Images, 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018 (paper)
Fei Huang, Cheng Jin, Yuejie Zhang, Kangnian Weng, Tao Zhang, Weiguo Fan, Sketch-based image retrieval with deep visual semantic descriptor, Pattern Recognition, Volume 76, April 2018, Pages 537-548 (paper)
Yong Cheng, Fei Huang, Lian Zhou, Cheng Jin, Yuejie Zhang and Tao Zhang, A Hierarchical Multimodal Attention-based Neural Network for Image Captioning, ACM SIGIR 2017 (short paper) (paper)
Fei Huang, Yong Cheng, Cheng Jin, Yuejie Zhang and Tao Zhang, Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval, ACM SIGIR 2017 (short paper) (paper)
Fei Huang, Cheng Jin, Yuejie Zhang and Tao Zhang, Towards Sketch-based Image Retrieval with Deep Cross-modal Correlation, The IEEE International Conference on Multimedia & Expo (ICME) 2017 (paper)
Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song, TripletGAN: Training Generative Model with Triplet Loss, arXiv preprint arXiv:1711.05084, 2017 (paper)
Cheng Jin, Chenjie Li, Zheming Wang, Yuejie Zhang, Tao Zhang, Sketch-based Image Retrieval with a Novel BoVW Representation, International Conference on Multimedia Modeling (MMM) 2016 (paper)
Fei Huang, Yong Cheng, Cheng Jin, Yuejie Zhang and Tao Zhang, Enhancing Sketch-Based Image Retrieval via Deep Discriminative Representation, European Conference on Artificial Intelligence (ECAI) 2016 (paper)
Yong Cheng, Fei Huang, Cheng Jin, Yuejie Zhang and Tao Zhang, A Novel Cross-Modal Topic Correlation Model for Cross-Media Retrieval, European Conference on Artificial Intelligence (ECAI) 2016 (paper)
Zhixin Liu, Cheng Jin, Yuejie Zhang, Tao Zhang, Automatic Naming of Speakers in Video via Name-Face Mapping, China National Conference on Computational Linguistics (CCL) 2016: 424-436 (paper)
Xingmeng Zhang, Cheng Jin, Yuejie Zhang, Tao Zhang, Image Tag Recommendation via Deep Cross-Modal Correlation Mining, China National Conference on Computational Linguistics (CCL) 2016: 437-449 (paper)
YongQing Liang, Cheng Jin, Yuejie Zhang, Salient Region Detection with Convex Hull Overlap, CoRR abs/1612.03284, 2016 (paper)
Yong Cheng, Zhengxiang Cai, Rui Feng, Cheng Jin, Yuejie Zhang, Tao Zhang, Cross-Modal Image-Tag Relevance Learning for Social Images, ACM MultiMedia 2015 (short paper) (paper)
Cheng Jin, Wenhui Mao, Ruiqi Zhang, Yuejie Zhang, Xiangyang Xue, Cross-Modal Image Clustering via Canonical Correlation Analysis, AAAI Conference on Artificial Intelligence (AAAI) 2015 (paper)
Cheng Jin, Zheming Wang, Tianhao Zhang, Qinen Zhu, Yuejie Zhang, A Novel Visual-Region-Descriptor-based Approach to Sketch-based Image Retrieval, ACM International Conference on Multimedia Retrieval (ICMR) 2015 (paper)
Yong Cheng, Zhixin Liu, Yun Zhao, Cheng Jin, Yuejie Zhang, Tao Zhang, People News Search via Name-Face Association Analysis, ACM International Conference on Multimedia Retrieval (ICMR) 2015 (short paper) (paper)
Shuai Ren, Cheng Jin, Chang Sun, Yuejie Zhang, Sketch-Based Image Retrieval via Adaptive Weighting. ACM International Conference on Multimedia Retrieval (ICMR) 2014 (paper)
Yuejie Zhang, Wei Wu, Yang Li, Cheng Jin, Xiangyang Xue, Jianping Fan, Automatic Name-Face Alignment to Enable Cross-Media News Retrieval. International Joint Conference on Artificial Intelligence (IJCAI) 2013 (paper)
Ruijiang Li, Bin Li, Ke Zhang, Cheng Jin, Xiangyang Xue, Groupwise Constrained Reconstruction for Subspace Clustering, International Conference on Machine Learning (ICML) 2012 (paper)
Yao Lu, Wei Zhang, Cheng Jin, Xiangyang Xue, Learning Attention Map from Images, The IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2012 (paper)
Xisheng He, Zhe Wang, Cheng Jin, Yingbin Zheng, Xiangyang Xue, A simplified multi-class support vector machine with reduced dual optimization, Pattern Recognition Letters 2012 (paper)
Cheng Jin, Chunlei Yang, Integrating Hierarchical Feature Selection and Classifier Training for Multi-Label Image Annotation, ACM SIGIR 2011 (paper)
Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue, Xingquan Zhu, Tracking User- Preference Varying Speed in Collaborative Filtering, AAAI Conference on Artificial Intelligence (AAAI) 2011 (paper)
Yuejie Zhang, Lei Cen, Cheng Jin, Xiangyang Xue and Jianping Fan, Learning Inter-Related Statistical Query Translation Models for English-Chinese Bi-Directional CLIR, International Joint Conference on Artificial Intelligence (IJCAI) 2011 (paper)
Yuejie Zhang, Lei Cen, Wei Wu, Cheng Jin and Xiangyang Xue, Fusion of Multiple Features and Supervised Learning for Chinese OOV Term Detection and POS Guessing, International Joint Conference on Artificial Intelligence (IJCAI) 2011 (paper)
Yiyang Gu, Cheng Jin, Xiangyang Xue, Quick matting: A matting method based on pixel spread and propagation, IEEE International Conference on Image Processing (ICIP) 2010 (paper)
Yuejie Zhang, Lei Cen, Cheng Jin, Xiangyang Xue and Ning Zhou, Bilingual Query Translation and Expansion for Supporting More Effective Cross-Language Image Retrieval, ACM Multimedia 2010 (paper)
Renzhong Wei, Hong Lu, Yingbin Zheng, Lei Cen, Cheng Jin, Xiangyang Xue, Weiguo Wu, How Context Helps: A Discriminative Codeword Selection Method for Object Detection, IEEE International Conference on Image Processing (ICIP) 2010 (paper)
Jian-Feng Chen, Hong Lu, Renzhong Wei, Cheng Jin, Xiangyang Xue, An effective method for video genre classification, ACM International Conference on Image and Video Retrieval (CIVR) 2010 (paper)
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