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ORCIDXinmei Tian 0001
田新梅
Person information
- unicode name: 田新梅
- affiliation: University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China
Other persons with the same name
- Xinmei Tian — disambiguation page
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2020 – today
- 2023
[j41]Lilu Zhu
, Feng Wu, Yanfeng Hu, Kai Huang, Xinmei Tian:
A heuristic multi-objective task scheduling framework for container-based clouds via actor-critic reinforcement learning. Neural Comput. Appl. 35(13): 9687-9710 (2023)- [j40]Yajing Liu, Zhiwei Xiong, Ya Li, Xinmei Tian, Zheng-Jun Zha:
Domain Generalization Via Encoding and Resampling in a Unified Latent Space. IEEE Trans. Multim. 25: 126-139 (2023) - [j39]Yajing Liu, Zhiwei Xiong, Ya Li, Yuning Lu, Xinmei Tian, Zheng-Jun Zha:
Category-Stitch Learning for Union Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 25:1-25:19 (2023) - [i32]Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao:
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR abs/2304.03589 (2023) - [i31]Chengchao Xu, Xinmei Tian:
Semantic-Aware Mixup for Domain Generalization. CoRR abs/2304.05675 (2023) - [i30]Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian:
Moderately Distributional Exploration for Domain Generalization. CoRR abs/2304.13976 (2023) - 2022
- [j38]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j37]Linghua Zeng, Xinmei Tian:
CRAR: Accelerating Stereo Matching with Cascaded Residual Regression and Adaptive Refinement. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 74:1-74:19 (2022) - [c74]Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua:
Meta Convolutional Neural Networks for Single Domain Generalization. CVPR 2022: 4672-4681 - [c73]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CVPR 2022: 5196-5205 - [c72]Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao:
Learning to Collaborate in Decentralized Learning of Personalized Models. CVPR 2022: 9756-9765 - [c71]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) 2022: 740-758 - [c70]Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang:
Adversarial Robustness Through the Lens of Causality. ICLR 2022 - [c69]Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao:
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML 2022: 4587-4604 - [c68]Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao:
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. ICML 2022: 25364-25381 - [c67]Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian:
Towards Lightweight Black-Box Attack Against Deep Neural Networks. NeurIPS 2022 - [c66]Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS 2022 - [i29]Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian:
Prompt Distribution Learning. CoRR abs/2205.03340 (2022) - [i28]Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao:
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. CoRR abs/2206.00187 (2022) - [i27]Wei Li, Qiming Zhang, Jing Zhang, Zhen Huang, Xinmei Tian, Dacheng Tao:
Toward Real-world Single Image Deraining: A New Benchmark and Beyond. CoRR abs/2206.05514 (2022) - [i26]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Bi-Calibration Networks for Weakly-Supervised Video Representation Learning. CoRR abs/2206.10491 (2022) - [i25]Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. CoRR abs/2207.09176 (2022) - [i24]Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian:
Towards Lightweight Black-Box Attacks against Deep Neural Networks. CoRR abs/2209.14826 (2022) - [i23]Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao:
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR abs/2211.00824 (2022) - 2021
- [j36]Kaiwen Yang, Jiwei Yang, Xinmei Tian:
Learning multi-granularity features from multi-granularity regions for person re-identification. Neurocomputing 432: 206-215 (2021) - [c65]Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. CVPR 2021: 3579-3588 - [c64]Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
A Style and Semantic Memory Mechanism for Domain Generalization*. ICCV 2021: 9144-9153 - [c63]Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua:
3D Local Convolutional Neural Networks for Gait Recognition. ICCV 2021: 14900-14909 - [c62]Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei:
Transferrable Contrastive Learning for Visual Domain Adaptation. ACM Multimedia 2021: 3399-3408 - [c61]Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao:
Class-Disentanglement and Applications in Adversarial Detection and Defense. NeurIPS 2021: 16051-16063 - [i22]Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang:
Adversarial Robustness through the Lens of Causality. CoRR abs/2106.06196 (2021) - [i21]Kaiwen Yang, Xinmei Tian:
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification. CoRR abs/2106.15206 (2021) - [i20]Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. CoRR abs/2107.00181 (2021) - [i19]Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei:
Transferrable Contrastive Learning for Visual Domain Adaptation. CoRR abs/2112.07516 (2021) - [i18]Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
A Style and Semantic Memory Mechanism for Domain Generalization. CoRR abs/2112.07517 (2021) - 2020
- [j35]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Real-World Image Denoising with Deep Boosting. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3071-3087 (2020) - [j34]Linghua Zeng, Xinmei Tian:
Accelerating Convolutional Neural Networks by Removing Interspatial and Interkernel Redundancies. IEEE Trans. Cybern. 50(2): 452-464 (2020) - [j33]Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao:
Principal Component Adversarial Example. IEEE Trans. Image Process. 29: 4804-4815 (2020) - [j32]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j31]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Tao Mei, Jiebo Luo:
Coarse-to-Fine Localization of Temporal Action Proposals. IEEE Trans. Multim. 22(6): 1577-1590 (2020) - [j30]Chaoqun Wan, Yue Wu, Xinmei Tian, Jianqiang Huang, Xian-Sheng Hua:
Concentrated Local Part Discovery With Fine-Grained Part Representation for Person Re-Identification. IEEE Trans. Multim. 22(6): 1605-1618 (2020) - [j29]Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3047-3060 (2020) - [j28]Ling Shen, Richang Hong, Haoran Zhang, Xinmei Tian, Meng Wang:
Video Retrieval with Similarity-Preserving Deep Temporal Hashing. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 109:1-109:16 (2020) - [c60]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Learning to Localize Actions from Moments. ECCV (3) 2020: 137-154 - [c59]Anfeng He, Guangting Wang, Chong Luo, Xinmei Tian, Wenjun Zeng:
AF2S: An Anchor-Free Two-Stage Tracker Based on a Strong SiamFC Baseline. ECCV Workshops (5) 2020: 637-652 - [c58]Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian:
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks. ICML 2020: 11163-11172 - [c57]Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua:
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition. ACM Multimedia 2020: 2122-2130 - [i17]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Learning to Localize Actions from Moments. CoRR abs/2008.13705 (2020) - [i16]Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua:
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition. CoRR abs/2011.13322 (2020)
2010 – 2019
- 2019
- [j27]Xinmei Tian, Ya Li, Tongliang Liu, Xinchao Wang, Dacheng Tao:
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1818-1830 (2019) - [j26]Dongfei Yu, Jianlong Fu, Xinmei Tian, Tao Mei:
Multi-source Multi-level Attention Networks for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 51:1-51:20 (2019) - [j25]Zhangcheng Wang, Ya Li, Richang Hong, Xinmei Tian:
Eigenvector-Based Distance Metric Learning for Image Classification and Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 84:1-84:19 (2019) - [c56]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Gaussian Temporal Awareness Networks for Action Localization. CVPR 2019: 344-353 - [c55]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. CVPR 2019: 1652-1660 - [c54]Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu:
Compact Feature Learning for Multi-Domain Image Classification. CVPR 2019: 7193-7201 - [c53]Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua:
Quantization Networks. CVPR 2019: 7308-7316 - [c52]Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao:
Exploring Object Relation in Mean Teacher for Cross-Domain Detection. CVPR 2019: 11457-11466 - [c51]Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei:
Learning Spatio-Temporal Representation With Local and Global Diffusion. CVPR 2019: 12056-12065 - [c50]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c49]Linghua Zeng, Zhangcheng Wang, Xinmei Tian:
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. IJCAI 2019: 4234-4242 - [c48]Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
Mocycle-GAN: Unpaired Video-to-Video Translation. ACM Multimedia 2019: 647-655 - [c47]Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
Animating Your Life: Real-Time Video-to-Animation Translation. ACM Multimedia 2019: 1068-1070 - [c46]Jun Gu, Anfeng He, Xinmei Tian:
RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance. SMC 2019: 1588-1595 - [i15]Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao:
On Better Exploring and Exploiting Task Relationships in Multi-Task Learning: Joint Model and Feature Learning. CoRR abs/1904.01747 (2019) - [i14]Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu:
Camera Lens Super-Resolution. CoRR abs/1904.03378 (2019) - [i13]Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao:
Exploring Object Relation in Mean Teacher for Cross-Domain Detection. CoRR abs/1904.11245 (2019) - [i12]Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei:
Learning Spatio-Temporal Representation with Local and Global Diffusion. CoRR abs/1906.05571 (2019) - [i11]Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei:
Mocycle-GAN: Unpaired Video-to-Video Translation. CoRR abs/1908.09514 (2019) - [i10]Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei:
Gaussian Temporal Awareness Networks for Action Localization. CoRR abs/1909.03877 (2019) - [i9]Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xiansheng Hua:
Quantization Networks. CoRR abs/1911.09464 (2019) - [i8]Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao:
Continuous Dropout. CoRR abs/1911.12675 (2019) - [i7]Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. CoRR abs/1911.12682 (2019) - [i6]Xu Shen, Xinmei Tian, Anfeng He, Shaoyan Sun, Dacheng Tao:
Transform-Invariant Convolutional Neural Networks for Image Classification and Search. CoRR abs/1912.01447 (2019) - 2018
- [j24]Xinmei Tian, Jiayi Fan:
Joints kinetic and relational features for action recognition. Signal Process. 142: 412-422 (2018) - [j23]Xinmei Tian, Weifeng Liu, Fionn Murtagh:
Data mining in human activity analysis. Signal Process. 147: 247-248 (2018) - [j22]Tao Mei, Lusong Li, Xinmei Tian, Dacheng Tao, Chong-Wah Ngo:
PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages. IEEE Trans. Circuits Syst. Video Technol. 28(1): 254-266 (2018) - [j21]Cong Guo, Xinmei Tian, Tao Mei:
Multigranular Event Recognition of Personal Photo Albums. IEEE Trans. Multim. 20(7): 1837-1847 (2018) - [j20]Ya Li, Xinmei Tian, Tongliang Liu, Dacheng Tao:
On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1975-1985 (2018) - [j19]Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao:
Continuous Dropout. IEEE Trans. Neural Networks Learn. Syst. 29(9): 3926-3937 (2018) - [c45]Xu Shen, Xinmei Tian, Jun Xing, Yong Rui, Dacheng Tao:
Sequence-to-Sequence Learning via Shared Latent Representation. AAAI 2018: 2395-2402 - [c44]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representations. AAAI 2018: 3579-3587 - [c43]Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
A Twofold Siamese Network for Real-Time Object Tracking. CVPR 2018: 4834-4843 - [c42]Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu:
Deep Boosting for Image Denoising. ECCV (11) 2018: 3-19 - [c41]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c40]Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
Towards a Better Match in Siamese Network Based Visual Object Tracker. ECCV Workshops (1) 2018: 132-147 - [c39]Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao:
Deep Domain Generalization via Conditional Invariant Adversarial Networks. ECCV (15) 2018: 647-663 - [c38]Kaisheng Xu, Xu Shen, Ting Yao, Xinmei Tian, Tao Mei:
Greedy Layer-Wise Training of Long Short Term Memory Networks. ICME Workshops 2018: 1-6 - [c37]Jiwei Yang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua:
Local Convolutional Neural Networks for Person Re-Identification. ACM Multimedia 2018: 1074-1082 - [c36]Yanping Cui, Zhangcheng Wang, Guanzhen Yu, Xinmei Tian:
Partially Annotated Gastric Pathological Image Classification. PCM (2) 2018: 476-486 - [c35]Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei:
Deep Domain Adaptation Hashing with Adversarial Learning. SIGIR 2018: 725-734 - [c34]Xinmei Tian, Yujiao Long, Hao Lv:
Relative Aesthetic Quality Ranking. SMC 2018: 2509-2516 - [i5]Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
A Twofold Siamese Network for Real-Time Object Tracking. CoRR abs/1802.08817 (2018) - [i4]Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao:
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition. CoRR abs/1805.06184 (2018) - [i3]Ya Li, Mingming Gong, Xinmei Tian, Tongliang Liu, Dacheng Tao:
Domain Generalization via Conditional Invariant Representation. CoRR abs/1807.08479 (2018) - [i2]Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng:
Towards a Better Match in Siamese Network Based Visual Object Tracker. CoRR abs/1809.01368 (2018) - 2017
- [c33]Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao:
Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. AAAI 2017: 2534-2540 - [c32]Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong:
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. ICCV Workshops 2017: 1069-1076 - [c31]Ai Wei, Xinmei Tian:
Image search re-ranking with an improved VisualRank algorithm and multi-layer DCNN features. ICME Workshops 2017: 483-488 - [c30]Zhangcheng Wang, Ya Li, Xinmei Tian:
Semi-supervised Coefficient-Based Distance Metric Learning. ICONIP (1) 2017: 586-596 - [c29]Linghua Zeng, Xinmei Tian:
Layer-Wise Training to Create Efficient Convolutional Neural Networks. ICONIP (2) 2017: 631-641 - [c28]Chaoqun Wan, Xinmei Tian:
A Small Scale Multi-Column Network for Aesthetic Classification Based on Multiple Attributes. ICONIP (1) 2017: 922-932 - [c27]Ya Li, Xinmei Tian, Xu Shen, Dacheng Tao:
Classification and Representation Joint Learning via Deep Networks. IJCAI 2017: 2215-2221 - 2016
- [j18]Cong Guo, Bei Li, Xinmei Tian:
Flickr group recommendation using rich social media information. Neurocomputing 204: 8-16 (2016) - [j17]