default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMao Ye 0001
Person information
- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering, Center for Robotics, MoE, Key Laboratory for NeuroInformation, Chengdu, China
- affiliation (PhD 2002): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Mao Ye — disambiguation page
- Mao Ye 0002 — Pennsylvania State University, Department of Computer Science and Engineering, University Park, PA, USA
- Mao Ye 0003
![[0000-0002-8825-8326]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8825-8326")
— Nanjing University of Science and Technology, Department of Transportation Engineering, China - Mao Ye 0004 — National University of Defense Technology, Nanjing, China
- Mao Ye 0005 — University of Kentucky, Lexington, KY, USA
- Mao Ye 0006 — University of Texas at Austin, TX, USA
- Mao Ye 0007 — Tianjin University, School of Microelectronics, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j119]Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li:
Disentanglement then reconstruction: Unsupervised domain adaptation by twice distribution alignments. Expert Syst. Appl. 237(Part B): 121498 (2024)- [j118]Jie Liu, Jinzong Cui, Mao Ye, Xiatian Zhu, Song Tang:
Shooting condition insensitive unmanned aerial vehicle object detection. Expert Syst. Appl. 246: 123221 (2024) - [j117]Song Tang, An Chang, Fabian Zhang, Xiatian Zhu, Mao Ye, Changshui Zhang:
Source-Free Domain Adaptation via Target Prediction Distribution Searching. Int. J. Comput. Vis. 132(3): 654-672 (2024) - [j116]Dan Liu, Fanrong Meng, Qing Xia, Zhiyuan Ma, Jinpeng Mi, Yan Gan, Mao Ye, Jianwei Zhang:
Temporal cues enhanced multimodal learning for action recognition in RGB-D videos. Neurocomputing 594: 127882 (2024) - [j115]Yan Gan, Tao Xiang, Deqiang Ouyang, Mingliang Zhou, Mao Ye:
SPGAN: Siamese projection Generative Adversarial Networks. Knowl. Based Syst. 285: 111353 (2024) - [j114]Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Xue Li, Ce Zhu:
Compressed-SDR to HDR Video Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3679-3691 (2024) - [j113]Lihua Zhou, Nianxin Li, Mao Ye, Xiatian Zhu, Song Tang:
Source-free domain adaptation with Class Prototype Discovery. Pattern Recognit. 145: 109974 (2024) - [j112]Liang Tian, Mao Ye, Lihua Zhou, Qichen He:
CLIP-guided black-box domain adaptation of image classification. Signal Image Video Process. 18(5): 4637-4646 (2024) - [j111]Liang Tian, Mao Ye, Lihua Zhou, Zhenbin Wang:
Source bias reduction for source-free domain adaptation. Signal Image Video Process. 18(S1): S883-S893 (2024) - [j110]Zizhuang Zou, Mao Ye, Xue Li, Luping Ji, Ce Zhu:
Stable Viewport-Based Unsupervised Compressed 360° Video Quality Enhancement. IEEE Trans. Broadcast. 70(2): 607-619 (2024) - [j109]Lu Chen, Mao Ye, Luping Ji, Shuai Li, Hongwei Guo:
Multi-Reference-Based Cross-Scale Feature Fusion for Compressed Video Super Resolution. IEEE Trans. Broadcast. 70(3): 895-908 (2024) - [j108]Chen Shu, Mao Ye, Hongwei Guo, Xue Li:
Spatial-Temporal Adaptive Compressed Screen Content Video Quality Enhancement. IEEE Trans. Circuits Syst. II Express Briefs 71(5): 2884-2888 (2024) - [j107]Shengjia Chen, Luping Ji, Sicheng Zhu, Mao Ye, Haohao Ren, Yongsheng Sang:
Toward Dense Moving Infrared Small Target Detection: New Datasets and Baseline. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j106]Shengjia Chen, Luping Ji, Jiewen Zhu, Mao Ye, Xiaoyong Yao:
SSTNet: Sliced Spatio-Temporal Network With Cross-Slice ConvLSTM for Moving Infrared Dim-Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [j105]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-Domain Feature Learning With Frequency-Aware Memory Enhancement for Moving Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j104]Songtao Li, Mao Ye, Luping Ji, Song Tang, Yan Gan, Xiatian Zhu:
Illumination Distribution-Aware Thermal Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 25(11): 18688-18700 (2024) - [j103]Song Tang, Yuji Shi, Zihao Song, Mao Ye, Changshui Zhang, Jianwei Zhang:
Progressive Source-Aware Transformer for Generalized Source-Free Domain Adaptation. IEEE Trans. Multim. 26: 4138-4152 (2024) - [c52]Hongwei Guo, Ce Zhu, Yipeng Liu, Mao Ye, Lei Luo:
CTU-Level Lagrange Multiplier and QP Adaption for Random Access Hierarchical Coding in VVC. BMSB 2024: 1-6 - [c51]Song Tang, Wenxin Su, Mao Ye, Xiatian Zhu:
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model. CVPR 2024: 23711-23720 - [c50]Siying Xiao, Mao Ye, Qichen He, Shuaifeng Li, Song Tang, Xiatian Zhu:
Adversarial Experts Model for Black-box Domain Adaptation. ACM Multimedia 2024: 8982-8991 - [i22]Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Unified Source-Free Domain Adaptation. CoRR abs/2403.07601 (2024) - [i21]Song Tang, Wenxin Su, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Proxy Denoising for Source-Free Domain Adaptation. CoRR abs/2406.01658 (2024) - [i20]Weiwei Duan, Luping Ji, Shengjia Chen, Sicheng Zhu, Mao Ye:
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection. CoRR abs/2406.06949 (2024) - [i19]Song Tang, Shaxu Yan, Xiaozhi Qi, Jianxin Gao, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Few-Shot Medical Image Segmentation with High-Fidelity Prototypes. CoRR abs/2406.18074 (2024) - [i18]Dengyan Luo, Yanping Xiang, Hu Wang, Luping Ji, Shuai Li, Mao Ye:
Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection. CoRR abs/2407.07289 (2024) - [i17]Yanbo Gao, Meng Fu, Shuai Li, Chong Lv, Xun Cai, Hui Yuan, Mao Ye:
Approximately Invertible Neural Network for Learned Image Compression. CoRR abs/2408.17073 (2024) - [i16]Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye:
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. CoRR abs/2409.09369 (2024) - [i15]Jiuzheng Yang, Song Tang, Yangkuiyi Zhang, Shuaifeng Li, Mao Ye, Jianwei Zhang, Xiatian Zhu:
Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection. CoRR abs/2410.05557 (2024) - [i14]Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye:
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. CoRR abs/2410.10573 (2024) - [i13]Yucheng Huang, Luping Ji, Hudong Liu, Mao Ye:
LGU-SLAM: Learnable Gaussian Uncertainty Matching with Deformable Correlation Sampling for Deep Visual SLAM. CoRR abs/2410.23231 (2024) - 2023
- [j102]Yan Gan, Mao Ye, Dan Liu, Yiguang Liu:
Training generative adversarial networks by auxiliary adversarial example regulator. Appl. Soft Comput. 136: 110086 (2023) - [j101]Lei She, Mao Ye, Shuai Li, Yu Zhao, Ce Zhu, Hu Wang:
Single-image HDR reconstruction by dual learning the camera imaging process. Eng. Appl. Artif. Intell. 120: 105947 (2023) - [j100]Dan Liu, Zhenwei Bao, Jinpeng Mi, Yan Gan, Mao Ye, Jianwei Zhang:
Cross-domain video action recognition via adaptive gradual learning. Neurocomputing 556: 126622 (2023) - [j99]Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye:
Learning-aware feature denoising discriminator. Inf. Fusion 89: 143-154 (2023) - [j98]Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Mingliang Zhou:
Generative adversarial networks with adaptive learning strategy for noise-to-image synthesis. Neural Comput. Appl. 35(8): 6197-6206 (2023) - [j97]Liang Tian, Lihua Zhou, Hao Zhang, Zhenbin Wang, Mao Ye:
Robust self-supervised learning for source-free domain adaptation. Signal Image Video Process. 17(5): 2405-2413 (2023) - [j96]Songtao Li, Jinzhong Cui, Mao Ye, Ting Li, Liang Tian:
Thermal pedestrian detection based on different resolution visual image. Signal Image Video Process. 17(8): 4347-4355 (2023) - [j95]Hongwei Guo, Ce Zhu, Mao Ye, Lei Luo, Xu Yang:
Pre-encoding based temporal dependent rate-distortion optimization for HEVC. Signal Process. Image Commun. 115: 116957 (2023) - [j94]Zeyang Wang, Mao Ye, Shuai Li, Xue Li:
Multi-Frame Compressed Video Quality Enhancement by Spatio-Temporal Information Balance. IEEE Signal Process. Lett. 30: 105-109 (2023) - [j93]Liuhan Peng, Askar Hamdulla, Mao Ye, Shuai Li, Zengbin Wang, Xue Li:
OVQE: Omniscient Network for Compressed Video Quality Enhancement. IEEE Trans. Broadcast. 69(1): 153-164 (2023) - [j92]Zizhuang Zou, Mao Ye, Shuai Li, Xue Li, Frédéric Dufaux:
360° Image Saliency Prediction by Embedding Self-Supervised Proxy Task. IEEE Trans. Broadcast. 69(3): 704-714 (2023) - [j91]Lihua Zhou, Siying Xiao, Mao Ye, Xiatian Zhu, Shuaifeng Li:
Adaptive Mutual Learning for Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6622-6634 (2023) - [j90]Dengyan Luo, Mao Ye, Shuai Li, Ce Zhu, Xue Li:
Spatio-Temporal Detail Information Retrieval for Compressed Video Quality Enhancement. IEEE Trans. Multim. 25: 6808-6820 (2023) - [c49]Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xuqian Fan, Ferrante Neri:
Homeomorphism Alignment for Unsupervised Domain Adaptation. ICCV 2023: 18653-18664 - [c48]Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang:
Bit Allocation using Optimization. ICML 2023: 38377-38399 - [c47]Tao Xiang, Liang Tian, Peng Li, Jie Liu, Mao Ye:
Unsupervised Feature Selection Using Both Similar and Dissimilar Structures. ICONIP (7) 2023: 16-28 - [c46]Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou:
Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. IJCAI 2023: 819-827 - [i12]Yanbo Gao, Wenjia Huang, Shuai Li, Hui Yuan, Mao Ye, Siwei Ma:
Spatial-Temporal Transformer based Video Compression Framework. CoRR abs/2309.11913 (2023) - [i11]Song Tang, Wenxin Su, Mao Ye, Xiatian Zhu:
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model. CoRR abs/2311.16510 (2023) - 2022
- [j89]Jiawang Huang, Jinzhong Cui, Mao Ye, Shuai Li, Yu Zhao:
Quality enhancement of compressed screen content video by cross-frame information fusion. Neurocomputing 493: 486-496 (2022) - [j88]Dan Zhang, Mao Ye, Yiguang Liu, Lin Xiong, Lihua Zhou:
Multi-source unsupervised domain adaptation for object detection. Inf. Fusion 78: 138-148 (2022) - [j87]Zhiqi Yu, Mao Ye, Siying Xiao, Liang Tian:
Learning missing instances in latent space for incomplete multi-view clustering. Knowl. Based Syst. 250: 109122 (2022) - [j86]Menghu Jia, Yanbo Gao, Shuai Li, Jian Yue, Mao Ye:
An explicit self-attention-based multimodality CNN in-loop filter for versatile video coding. Multim. Tools Appl. 81(29): 42497-42511 (2022) - [j85]Shenhao Wang, Yu Zhao, Han Gao, Mao Ye, Shuai Li:
End-to-end video compression for surveillance and conference videos. Multim. Tools Appl. 81(29): 42713-42730 (2022) - [j84]Lihua Zhou, Mao Ye, Siying Xiao:
Domain adaptation based on source category prototypes. Neural Comput. Appl. 34(23): 21191-21203 (2022) - [j83]Song Tang, Yan Zou, Zihao Song, Jianzhi Lyu, Lijuan Chen, Mao Ye, Shouming Zhong, Jianwei Zhang:
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation. Neural Networks 152: 467-478 (2022) - [j82]Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Yiguang Liu:
Source data-free domain adaptation for a faster R-CNN. Pattern Recognit. 124: 108436 (2022) - [j81]Dengyan Luo, Mao Ye, Shuai Li, Xue Li:
Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement. IEEE Signal Process. Lett. 29: 543-547 (2022) - [j80]Chang Liu, Lihua Zhou, Mao Ye, Xue Li:
Self-Alignment for Black-Box Domain Adaptation of Image Classification. IEEE Signal Process. Lett. 29: 1709-1713 (2022) - [j79]Lihua Zhou, Mao Ye, Dan Zhang, Ce Zhu, Luping Ji:
Prototype-Based Multisource Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5308-5320 (2022) - [c45]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c44]Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong:
Source-Free Object Detection by Learning to Overlook Domain Style. CVPR 2022: 8004-8013 - [c43]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c42]Yanbo Gao, Menghu Jia, Shuai Li, Xun Cai, Mao Ye, Frédéric Dufaux:
A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement. ICASSP 2022: 2110-2114 - [c41]Yu Liu, Mao Ye, Yanbo Gao, Shuai Li, Yu Zhao, Xue Li:
Content Adaptive Compressed Screen Content Video Quality Enhancement. ICME 2022: 1-6 - [c40]Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li:
KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction. IJCAI 2022: 1408-1414 - [c39]Liuhan Peng, Askar Hamdulla, Mao Ye, Shuai Li, Hongwei Guo:
Recurrent Deformable Fusion for Compressed Video Artifact Reduction. ISCAS 2022: 3175-3179 - [c38]Shuai Li, Kaixin Wang, Yanbo Gao, Xun Cai, Mao Ye:
Geometric Warping Error Aware CNN for DIBR Oriented View Synthesis. ACM Multimedia 2022: 1512-1521 - [c37]Han Gao, Jinzhong Cui, Mao Ye, Shuai Li, Yu Zhao, Xiatian Zhu:
Structure-Preserving Motion Estimation for Learned Video Compression. ACM Multimedia 2022: 3055-3063 - [c36]Lihua Zhou, Mao Ye, Xiatian Zhu, Shuaifeng Li, Yiguang Liu:
Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation. ACM Multimedia 2022: 4318-4326 - [c35]Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu:
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification. NeurIPS 2022 - [c34]Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min:
Attention-to-Embedding Framework for Multi-instance Learning. PAKDD (2) 2022: 109-121 - [i10]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon:
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i9]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022) - [i8]Tongda Xu, Han Gao, Chenjian Gao, Jinyong Pi, Yanghao Li, Yuanyuan Wang, Ziyu Zhu, Dailan He, Mao Ye, Hongwei Qin, Yan Wang:
Bit Allocation using Optimization. CoRR abs/2209.09422 (2022) - 2021
- [j78]Dan Zhang, Jingjing Li, Xingpeng Li, Zhekai Du, Lin Xiong, Mao Ye:
Local-Global Attentive Adaptation for Object Detection. Eng. Appl. Artif. Intell. 100: 104208 (2021) - [j77]Yan Gan, Mao Ye, Dan Liu, Shangming Yang, Tao Xiang:
A novel hybrid augmented loss discriminator for text-to-image synthesis. Int. J. Intell. Syst. 36(2): 1085-1107 (2021) - [j76]Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Xue Li, Yingying Zhu:
Source data-free domain adaptation of object detector through domain-specific perturbation. Int. J. Intell. Syst. 36(8): 3746-3766 (2021) - [j75]Shuangli Du, Yiguang Liu, Mao Ye, Minghua Zhao, Zheng Li:
Rain streaks removal from single image based on texture constraint of background scene. Neurocomputing 419: 224-238 (2021) - [j74]Yusheng Huang, Yelin Gao, Yan Gan, Mao Ye:
A new financial data forecasting model using genetic algorithm and long short-term memory network. Neurocomputing 425: 207-218 (2021) - [j73]Yan Min, Mao Ye, Liang Tian, Yulin Jian, Ce Zhu, Shangming Yang:
Unsupervised feature selection via multi-step markov probability relationship. Neurocomputing 453: 241-253 (2021) - [j72]Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Dongde Hou:
Domain adaptation of object detector using scissor-like networks. Neurocomputing 453: 263-271 (2021) - [j71]Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li:
Learning various length dependence by dual recurrent neural networks. Neurocomputing 466: 1-15 (2021) - [j70]Xinpeng Li, Dan Zhang, Mao Ye, Xue Li, Qiang Dou, Qiao Lv:
Bidirectional generative transductive zero-shot learning. Neural Comput. Appl. 33(10): 5313-5326 (2021) - [c33]Yan Gan, Tao Xiang, Hangcheng Liu, Mao Ye, Dan Liu:
Teacher-Supervised Generative Adversarial Networks. ICME 2021: 1-6 - [c32]Dan Zhang, Mao Ye, Lin Xiong, Shuaifeng Li, Xue Li:
Source-Style Transferred Mean Teacher for Source-data Free Object Detection. MMAsia 2021: 4:1-4:8 - [c31]Dengyan Luo, Mao Ye, Shengjie Chen, Xue Li:
Alignment-Free Video Compression Artifact Reduction. VCIP 2021: 1-5 - 2020
- [j69]Dan Liu, Yunfeng Ji, Mao Ye, Yan Gan, Jianwei Zhang:
An Improved Attention-Based Spatiotemporal-Stream Model for Action Recognition in Videos. IEEE Access 8: 61462-61470 (2020) - [j68]Yulin Jian, Mao Ye, Yan Min, Liang Tian, Guangjun Wang:
FORF-S: A Novel Classification Technique for Class Imbalance Problem. IEEE Access 8: 218720-218728 (2020) - [j67]Yan Gan, Kedi Liu, Mao Ye, Yang Qian:
Sentence guided object color change by adversarial learning. Neurocomputing 377: 113-121 (2020) - [j66]Dan Liu, Mao Ye, Jianwei Zhang:
Improving Action Recognition Using Sequence Prediction Learning. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2050029:1-2050029:18 (2020) - [j65]Yuxiao Zhang, Mao Ye, Yan Gan, Wencong Zhang:
Knowledge based domain adaptation for semantic segmentation. Knowl. Based Syst. 193: 105444 (2020) - [j64]Lan Lin, Dan Zhang, Xin Zheng, Mao Ye, Jiuxia Guo:
Recurrent matching networks of spatial alignment learning for person re-identification. Multim. Tools Appl. 79(45-46): 33735-33755 (2020) - [j63]Yan Gan, Kedi Liu, Mao Ye, Yuxiao Zhang, Yang Qian:
Generative adversarial networks with denoising penalty and sample augmentation. Neural Comput. Appl. 32(14): 9995-10005 (2020) - [j62]Tengtao Zou, Shangming Yang, Yun Zhang, Mao Ye:
Attention guided neural network models for occluded pedestrian detection. Pattern Recognit. Lett. 131: 91-97 (2020) - [c30]Hongwei Guo, Ce Zhu, Yuyang Liu, Mao Ye, Lei Luo:
Temporal dependency based Lagrange multiplier adaptation for HEVC. BMSB 2020: 1-5 - [c29]Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu:
Distribution-Aware Coordinate Representation for Human Pose Estimation. CVPR 2020: 7091-7100 - [c28]Yan Gan, Tao Xiang, Mao Ye:
Squeeze Criterion GANs: Double Adversarial Learning Method. ML4CS (2) 2020: 479-493 - [i7]Hanbin Dai, Liangbo Zhou, Feng Zhang, Zhengyu Zhang, Hong Hu, Xiatian Zhu, Mao Ye:
Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: Distribution-Aware Coordinate Representation for Human Pose Estimation. CoRR abs/2003.07232 (2020) - [i6]Chenpeng Zhang, Shuai Li, Mao Ye, Ce Zhu, Xue Li:
Learning Various Length Dependence by Dual Recurrent Neural Networks. CoRR abs/2005.13867 (2020) - [i5]Lihua Zhou, Mao Ye, Xinpeng Li, Ce Zhu, Yiguang Liu, Xue Li:
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation. CoRR abs/2005.13947 (2020) - [i4]Xinpeng Li, Mao Ye, Lihua Zhou, Dan Zhang, Ce Zhu, Yiguang Liu:
Improving Generalized Zero-Shot Learning by Semantic Discriminator. CoRR abs/2005.13956 (2020) - [i3]