南京理工大学智能媒体分析实验室

Intelligent Media Analysis Group (IMAG), School of Computer Science, Nanjing University of Science and Technology

Publications

[73] Haoran Bai, Jinshan Pan, Xinguang Xiang, Jinhui Tang. Self-guided image dehazing using progressive feature fusion IEEE Transactions on Image Processing. 1217-1229(2022)

[72] Xiaoyu Du, Zike Wu, Fuli Feng, Xiangnan He, Jinhui Tang. Invariant Representation Learning for Multimedia Recommendation.Proceedings of the 30th ACM International Conference on Multimedia. 619-628(2022)

[71] Xinguang Xiang, Yajie Zhang, Lu Jin, Zechao Li, Jinhui Tang. Sub-region localized hashing for fine-grained image retrieval IEEE Transactions on Image Processing. 314-326(2021)

[70] Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Yan Ye, Xiang Xinguang, Wen Gao. MAU: A Motion-Aware Unit for Video Prediction and Beyond Advances in Neural Information Processing Systems. 26950-26962(2021)

[69] Xiaoqing Luo, Anqi Wang, Zhancheng Zhang, Xinguang Xiang, Xiao-Jun Wu. Latraivf: An infrared and visible image fusion method based on latent regression and adversarial training IEEE Transactions on Instrumentation and Measurement. 1-16(2021)

[68] Xinguang Xiang, Hao Wei, Jinshan Pan. Deep video deblurring using sharpness features from exemplars IEEE Transactions on Image Processing. 8976-8987(2020)

[67] Yunlian Sun, Jinhui Tang, Xiangbo Shu, Zhenan Sun, Massimo Tistarelli. Facial age synthesis with label distribution-guided generative adversarial network IEEE Transactions on Information Forensics and Security. 2679-2691(2020)

[66] Zechao Li, Jinhui Tang, Liyan Zhang, Jian Yang. Weakly-supervised semantic guided hashing for social image retrieval International Journal of Computer Vision. 2265-2278(2020)

[65] Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua. How to learn item representation for cold-start multimedia recommendation?.Proceedings of the 28th ACM International Conference on Multimedia. 3469-3477(2020)

[64] Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua. Adversarial training towards robust multimedia recommender system IEEE Transactions on Knowledge and Data Engineering. 855-867(2019)

[63] Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua. Modeling embedding dimension correlations via convolutional neural collaborative filtering ACM Transactions on Information Systems (TOIS). 1-22(2019)

[62] Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua. Fast matrix factorization with nonuniform weights on missing data IEEE transactions on neural networks and learning systems. 2791-2804(2019)

[61] Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, Jinhui Tang. Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search IEEE transactions on neural networks and learning systems. 1429-1440(2019)

[60] Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, Jinhui Tang. Deep semantic-preserving ordinal hashing for cross-modal similarity search IEEE transactions on neural networks and learning systems. 1429-1440(2018)

[59] Xiangbo Shu, Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, Shuicheng Yan. Personalized Age Progression with Bi-Level Aging Dictionary Learning IEEE transactions on pattern analysis and machine intelligence. 905-917(2018)

[58] Rui Yan, Jinhui Tang, Xiangbo Shu, Zechao Li, Qi Tian. Participation-contributed temporal dynamic model for group activity recognition.Proceedings of the 26th ACM international conference on Multimedia. 1292-1300(2018)

[57] Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua. Adversarial personalized ranking for recommendation.The 41st International ACM SIGIR Conference on Research \& Development in Information Retrieval. 355-364(2018)

[56] Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, others. Learning dual convolutional neural networks for low-level vision.Proceedings of the IEEE conference on computer vision and pattern recognition. 3070-3079(2018)

[55] Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang. Deblurring images via dark channel prior IEEE transactions on pattern analysis and machine intelligence. 2315-2328(2017)

[54] Xiaoyu Du, Jinhui Tang, Zechao Li, Zhiguang Qin. Wheel: Accelerating cnns with distributed gpus via hybrid parallelism and alternate strategy.Proceedings of the 25th ACM international conference on Multimedia. 393-401(2017)

[53] Yongbing Zhang, Huijin Lv, Yebin Liu, Haoqian Wang, Xingzheng Wang, Qian Huang, Xinguang Xiang, Qionghai Dai. Light-field depth estimation via epipolar plane image analysis and locally linear embedding IEEE Transactions on Circuits and Systems for Video Technology. 739-747(2016)

[52] Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang, Shuicheng Yan. Image classification with tailored fine-grained dictionaries IEEE Transactions on Circuits and Systems for Video Technology. 454-467(2016)

[51] Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Ramesh Jain. Tri-clustered tensor completion for social-aware image tag refinement IEEE transactions on pattern analysis and machine intelligence. 1662-1674(2016)

[50] Hanjiang Lai, Pan Yan, Xiangbo Shu, Yunchao Wei, Shuicheng Yan. Instance-aware hashing for multi-label image retrieval IEEE Transactions on Image Processing. 2469-2479(2016)

[49] Xinguang Xiang, Fan Liu, Ye Bi, Yanfang Wang, Jinhui Tang. Local Similarity based Discriminant Analysis for Face Recognition KSII Transactions on Internet and Information Systems (TIIS). 4502-4518(2015)

[48] Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, Jingdong Wang. Weakly-shared deep transfer networks for heterogeneous-domain knowledge propagation.Proceedings of the 23rd ACM international conference on Multimedia. 35-44(2015)

[47] Xiangbo Shu, Jinhui Tang, Luoqi Liu, Zhiheng Niu, Shuicheng Yan. What Shall I Look Like after N Years?.Proceedings of the 23rd ACM international conference on Multimedia. 789-790(2015)

[46] Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu. Task-driven feature pooling for image classification.Proceedings of the IEEE International Conference on Computer Vision. 1179-1187(2015)

[45] Yongbing Zhang, Xinguang Xiang, Debin Zhao, Siwe Ma, Wen Gao. Packet video error concealment with auto regressive model IEEE Transactions on Circuits and Systems for Video Technology. 12-27(2011)

[44] Xinguang Xiang, Debin Zhao, Qiang Wang, Xiangyang Ji, Wen Gao. A novel error concealment method for stereoscopic video coding.2007 IEEE international conference on image processing. V-101(2007)

[43] Lu Jin, Kai Li, Hao Hu, Guo-Jun Qi, Jinhui Tang. Semantic Neighbor Graph Hashing for Multimodal Retrieval IEEE Transactions on Image Processing. 1405-1417

[42] Lu Jin, Zechao Li, Xiangbo Shu, Shenghua Gao, Jinhui Tang. Partially Common-Semantic Pursuit for RGB-D Object Recognition ACM Multimedia. 959-962

[41] Jinhui Tang, Lu Jin, Zechao Li, Shenghua Gao. RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge IEEE. 959-962

[40] Zechao Li, Yanpeng Sun, Liyan Zhang, Jinhui Tang. CTNet: Context-based Tandem Network for Semantic Segmentation IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI). 623-635

[39] Yunlian Sun, Man Zhang, Zhenan Sun, Tieniu Tan. Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers IEEE Transactions on Pattern Analysis and Machine Intelligence. 405-415

[38] Yunlian Sun, Kamal Nasrollahi, Zhenan Sun, Tieniu Tan. Complementary Cohort Strategy for Multimodal Face Pair Matching IEEE Transactions on Information Forensics and Security. 937-950

[37] Massimo Tistarelli (PhD Advisor) , Yunlian Sun, Norman Poh. On the Use of Discriminative Cohort Score Normalization for Unconstrained Face Recognition IEEE Transactions on Information Forensics and Security. 2036-2075

[36] Lu Jin, Zechao Li, Xiangbo Shu, Shenghua Gao, Jinhui Tang. Partially Common-Semantic Pursuit for RGB-D Object Recognition.ACM Multimedia. 1899-1908

[35] Jinhui Tang, Lu Jin, Zechao Li, Shenghua Gao. RGB-D Object Recognition via Incorporating Latent Data Structure and Prior Knowledge.IEEE Transactions on Multimedia. 1899-1908

[34] Longquan Dai, Mengke Yuan, Xiaopeng Zhang. Speeding up the bilateral filter: A joint acceleration way IEEE Transactions on Image Processing. 2657--2672(2016)

[33] Longquan Dai, Liang Tang, Yuan Xie, Jinhui Tang. Designing by training: acceleration neural network for fast high-dimensional convolution Advances in Neural Information Processing Systems. (2018)

[32] Yuan Xie, Wensheng Zhang, Yanyun Qu, Longquan Dai, Dacheng Tao. Hyper-Laplacian regularized multilinear multiview self-representations for clustering and semisupervised learning IEEE transactions on cybernetics. 572--586(2018)

[31] Jiangxin Dong, Jinshan Pan. Deep outlier handling for image deblurring IEEE Transactions on image processing. 1799--1811(2021)

[30] Jiangxin Dong, Stefan Roth, Bernt Schiele. Deep wiener deconvolution: Wiener meets deep learning for image deblurring Advances in Neural Information Processing Systems. 1048--1059(2020)

[29] Jinhui Tang, Zechao Li, Hanjiang Lai, Liyan Zhang, Shuicheng Yan, others. Personalized age progression with bi-level aging dictionary learning IEEE transactions on pattern analysis and machine intelligence. 905--917(2017)

[28] Jinhui Tang, Lu Jin, Zechao Li, Shenghua Gao. RGB-D object recognition via incorporating latent data structure and prior knowledge IEEE Transactions on Multimedia. 1899--1908(2015)

[27] Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang. Deep ordinal hashing with spatial attention IEEE Transactions on Image Processing. 2173--2186(2018)

[26] Xiangyu Xu, Jinshan Pan, Yu-Jin Zhang, Ming-Hsuan Yang. Motion blur kernel estimation via deep learning IEEE Transactions on Image Processing. 194--205(2017)

[25] Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang. Learning to deblur images with exemplars IEEE transactions on pattern analysis and machine intelligence. 1412--1425(2018)

[24] Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou, Hanqing Lu. Clustering-guided sparse structural learning for unsupervised feature selection IEEE Transactions on Knowledge and Data Engineering. 2138--2150(2013)

[23] Zechao Li, Jinhui Tang. Unsupervised feature selection via nonnegative spectral analysis and redundancy control IEEE Transactions on Image Processing. 5343--5355(2015)

[22] Zechao Li, Jinhui Tang. Weakly supervised deep metric learning for community-contributed image retrieval IEEE Transactions on Multimedia. 1989--1999(2015)

[21] Zechao Li, Jinhui Tang, Xueming Wang, Jing Liu, Hanqing Lu. Multimedia news summarization in search ACM Transactions on Intelligent Systems and Technology (TIST). 1--20(2016)

[20] Zechao Li, Jinhui Tang. Weakly supervised deep matrix factorization for social image understanding IEEE Transactions on Image Processing. 276--288(2016)

[19] Zechao Li, Jinhui Tang, Xiaofei He. Robust structured nonnegative matrix factorization for image representation IEEE transactions on neural networks and learning systems. 1947--1960(2017)

[18] Zechao Li, Jing Liu, Jinhui Tang, Hanqing Lu. Robust structured subspace learning for data representation IEEE transactions on pattern analysis and machine intelligence. 2085--2098(2015)

[17] Zechao Li, Yanpeng Sun, Liyan Zhang, Jinhui Tang. CTNet: Context-based tandem network for semantic segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence. (2021)

[16] Jinhui Tang, Zechao Li, Meng Wang, Ruizhen Zhao. Neighborhood discriminant hashing for large-scale image retrieval IEEE Transactions on Image Processing. 2827--2840(2015)

[15] Jinhui Tang, Jie Lin, Zechao Li, Jian Yang. Discriminative deep quantization hashing for face image retrieval IEEE transactions on neural networks and learning systems. 6154--6162(2018)

[14] Jinhui Tang, Xiangbo Shu, Zechao Li, Yu-Gang Jiang, Qi Tian. Social anchor-unit graph regularized tensor completion for large-scale image retagging IEEE transactions on pattern analysis and machine intelligence. 2027--2034(2019)

[13] Zechao Li, Jinhui Tang, Tao Mei. Deep collaborative embedding for social image understanding IEEE transactions on pattern analysis and machine intelligence. 2070--2083(2018)

[12] Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang. Hierarchical long short-term concurrent memory for human interaction recognition IEEE transactions on pattern analysis and machine intelligence. 1110--1118(2019)

[11] Jinhui Tang, Xiangbo Shu, Rui Yan, Liyan Zhang. Coherence constrained graph LSTM for group activity recognition IEEE transactions on pattern analysis and machine intelligence. (2019)

[10] Longquan Dai, Mengke Yuan, Zechao Li, Xiaopeng Zhang, Jinhui Tang. Hardware-efficient guided image filtering for multi-label problem.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5325--5333(2017)

[9] Jiangxin Dong, Stefan Roth, Bernt Schiele. Learning spatially-variant MAP models for non-blind image deblurring.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 4886--4895(2021)

[8] Jiangxin Dong, Jinshan Pan. Physics-based feature dehazing networks.European Conference on Computer Vision. 188--204(2020)

[7] Lu Jin, Zechao Li, Xiangbo Shu, Shenghua Gao, Jinhui Tang. Partially common-semantic pursuit for RGB-D object recognition.Proceedings of the 23rd ACM international conference on Multimedia. 959--962(2015)

[6] Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang. Learning data terms for non-blind deblurring.Proceedings of the European Conference on Computer Vision (ECCV). 748--763(2018)

[5] Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin. Lstm pose machines.Proceedings of the IEEE conference on computer vision and pattern recognition. 5207--5215(2018)

[4] Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang. Gated fusion network for single image dehazing.Proceedings of the IEEE conference on computer vision and pattern recognition. 3253--3261(2018)

[3] Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang. Learning a discriminative prior for blind image deblurring.Proceedings of the IEEE conference on computer vision and pattern recognition. 6616--6625(2018)

[2] Jiawei Zhang, Jinshan Pan, Jimmy Ren, Yibing Song, Linchao Bao, Rynson Lau, Ming-Hsuan Yang. Dynamic scene deblurring using spatially variant recurrent neural networks.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2521--2529(2018)

[1] Runde Li, Jinshan Pan, Zechao Li, Jinhui Tang. Single image dehazing via conditional generative adversarial network.Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 8202--8211(2018)

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