Xinmei Tian

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 130

Top Venues

Publications

Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
Robust Training of Federated Models with Extremely Label Deficiency. CoRR (2024)
Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
Convergence of Bayesian Bilevel Optimization. ICLR (2024)
Chenghao Sun, Zihan Yan, Yonggang Zhang, Xinmei Tian, Jian Gong
Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration. Knowl. Based Syst. 296 (2024)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
FedImpro: Measuring and Improving Client Update in Federated Learning. CoRR (2024)
Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian
Out-of-Distribution Detection with Negative Prompts. ICLR (2024)
Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
Robust Training of Federated Models with Extremely Label Deficiency. ICLR (2024)
Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian, Dacheng Tao
Towards Theoretical Understandings of Self-Consuming Generative Models. CoRR (2024)
Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
FedImpro: Measuring and Improving Client Update in Federated Learning. ICLR (2024)
Chengchao Xu, Xinmei Tian
Semantic-Aware Mixup for Domain Generalization. IJCNN (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Structured Cooperative Learning with Graphical Model Priors. CoRR (2023)
Shijie Chen, Xinmei Tian, Yuling Wang, Yunfeng Song, Ying Zhang, Jie Zhao, Jyh-Cheng Chen
DAEGAN: Generative adversarial network based on dual-domain attention-enhanced encoder-decoder for low-dose PET imaging. Biomed. Signal Process. Control. 86 (Part B) (2023)
Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. CoRR (2023)
Kaiwen Yang, Tao Shen, Xinmei Tian, Xiubo Geng, Chongyang Tao, Dacheng Tao, Tianyi Zhou
Good Questions Help Zero-Shot Image Reasoning. CoRR (2023)
Kaiwen Yang, Xinmei Tian
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification. IEEE Trans. Multim. 25 (2023)
Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian
Moderately Distributional Exploration for Domain Generalization. ICML (2023)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Bi-calibration Networks for Weakly-Supervised Video Representation Learning. Int. J. Comput. Vis. 131 (7) (2023)
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 (2023)
Zhihao Hu, Yiran Xu, Xinmei Tian
Adaptive Priority Reweighing for Generalizing Fairness Improvement. IJCNN (2023)
Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. NeurIPS (2023)
Yang Chen, Jingwen Chen, Yingwei Pan, Xinmei Tian, Tao Mei
3D Creation at Your Fingertips: From Text or Image to 3D Assets. ACM Multimedia (2023)
Zeqiao Zhou, Yuxuan Du, Xu-Fei Yin, Shanshan Zhao, Xinmei Tian, Dacheng Tao
Optical Quantum Sensing for Agnostic Environments via Deep Learning. CoRR (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Structured Cooperative Learning with Graphical Model Priors. ICML (2023)
Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR (2023)
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 (2023)
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) (2023)
Lilu Zhu, Feng Wu, Kun Fu, Yanfeng Hu, Yang Wang, Xinmei Tian, Kai Huang
An Active Service Recommendation Model for Multi-Source Remote Sensing Information Using Fusion of Attention and Multi-Perspective. Remote. Sens. 15 (10) (2023)
Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. ICLR (2023)
Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Learning to Collaborate in Decentralized Learning of Personalized Models. CVPR (2022)
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)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Bi-Calibration Networks for Weakly-Supervised Video Representation Learning. CoRR (2022)
Wei Li, Qiming Zhang, Jing Zhang, Zhen Huang, Xinmei Tian, Dacheng Tao
Toward Real-world Single Image Deraining: A New Benchmark and Beyond. CoRR (2022)
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
Prompt Distribution Learning. CVPR (2022)
Kaiwen Yang, Tianyi Zhou, Xinmei Tian, Dacheng Tao
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning. ICML (2022)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. ECCV (19) (2022)
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML (2022)
Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. CoRR (2022)
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)
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 (2022)
Linghua Zeng, Xinmei Tian
CRAR: Accelerating Stereo Matching with Cascaded Residual Regression and Adaptive Refinement. ACM Trans. Multim. Comput. Commun. Appl. 18 (3) (2022)
Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
Prompt Distribution Learning. CoRR (2022)
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 (2022)
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)
Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian
Self-Supervision Can Be a Good Few-Shot Learner. CoRR (2022)
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 (2022)
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 (2021)
Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
. ICCV (2021)
Kaiwen Yang, Xinmei Tian
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification. CoRR (2021)
Kaiwen Yang, Jiwei Yang, Xinmei Tian
Learning multi-granularity features from multi-granularity regions for person re-identification. Neurocomputing 432 (2021)
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)
Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei
Transferrable Contrastive Learning for Visual Domain Adaptation. ACM Multimedia (2021)
Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei
Transferrable Contrastive Learning for Visual Domain Adaptation. CoRR (2021)
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)
Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao
Class-Disentanglement and Applications in Adversarial Detection and Defense. NeurIPS (2021)
Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
A Style and Semantic Memory Mechanism for Domain Generalization. CoRR (2021)
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 (2020)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Learning to Localize Actions from Moments. ECCV (3) (2020)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Learning to Localize Actions from Moments. CoRR (2020)
Linghua Zeng, Xinmei Tian
Accelerating Convolutional Neural Networks by Removing Interspatial and Interkernel Redundancies. IEEE Trans. Cybern. 50 (2) (2020)
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) (2020)
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) (2020)
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) (2020)
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)
Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao
Principal Component Adversarial Example. IEEE Trans. Image Process. 29 (2020)
Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks. ICML (2020)
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)
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) (2020)
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) (2020)
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) (2020)
Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
Mocycle-GAN: Unpaired Video-to-Video Translation. ACM Multimedia (2019)
Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua
Quantization Networks. CVPR (2019)
Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
Mocycle-GAN: Unpaired Video-to-Video Translation. CoRR (2019)
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei
Learning Spatio-Temporal Representation With Local and Global Diffusion. CVPR (2019)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Gaussian Temporal Awareness Networks for Action Localization. CVPR (2019)
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
Camera Lens Super-Resolution. CoRR (2019)
Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei
Gaussian Temporal Awareness Networks for Action Localization. CoRR (2019)
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
Camera Lens Super-Resolution. CVPR (2019)
Jun Gu, Anfeng He, Xinmei Tian
RC-CNN: Representation-Consistent Convolutional Neural Networks for Achieving Transformation Invariance. SMC (2019)
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xinmei Tian, Tao Mei
Learning Spatio-Temporal Representation with Local and Global Diffusion. CoRR (2019)
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) (2019)
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 (2019)
Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xiansheng Hua
Quantization Networks. CoRR (2019)
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)
Xu Shen, Xinmei Tian, Anfeng He, Shaoyan Sun, Dacheng Tao
Transform-Invariant Convolutional Neural Networks for Image Classification and Search. CoRR (2019)
Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao
Exploring Object Relation in Mean Teacher for Cross-Domain Detection. CoRR (2019)
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)
Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks. CoRR (2019)
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) (2019)
Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao
Continuous Dropout. CoRR (2019)
Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu
Compact Feature Learning for Multi-Domain Image Classification. CVPR (2019)
Yang Chen, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
Animating Your Life: Real-Time Video-to-Animation Translation. ACM Multimedia (2019)
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) (2019)
Linghua Zeng, Zhangcheng Wang, Xinmei Tian
KCNN: Kernel-wise Quantization to Remarkably Decrease Multiplications in Convolutional Neural Network. IJCAI (2019)
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 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)
Cong Guo, Xinmei Tian, Tao Mei
Multigranular Event Recognition of Personal Photo Albums. IEEE Trans. Multim. 20 (7) (2018)
Xu Shen, Xinmei Tian, Tongliang Liu, Fang Xu, Dacheng Tao
Continuous Dropout. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Kaisheng Xu, Xu Shen, Ting Yao, Xinmei Tian, Tao Mei
Greedy Layer-Wise Training of Long Short Term Memory Networks. ICME Workshops (2018)
Fuchen Long, Ting Yao, Qi Dai, Xinmei Tian, Jiebo Luo, Tao Mei
Deep Domain Adaptation Hashing with Adversarial Learning. SIGIR (2018)
Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng
A Twofold Siamese Network for Real-Time Object Tracking. CVPR (2018)
Jiwei Yang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua
Local Convolutional Neural Networks for Person Re-Identification. ACM Multimedia (2018)
Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng
Towards a Better Match in Siamese Network Based Visual Object Tracker. CoRR (2018)

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Xinmei Tian