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2020 – today
- 2023
[j57]Zuxiang Long, Fuyan Ma, Bin Sun
, Mingkui Tan, Shutao Li:
Diversified branch fusion for self-knowledge distillation. Inf. Fusion 90: 12-22 (2023)- [i85]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan:
Towards Stable Test-Time Adaptation in Dynamic Wild World. CoRR abs/2302.12400 (2023) - [i84]Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan:
Hard Sample Matters a Lot in Zero-Shot Quantization. CoRR abs/2303.13826 (2023) - [i83]Shoukai Xu, Jiangchao Yao, Ran Luo, Shuhai Zhang, Zihao Lian, Mingkui Tan, Yaowei Wang:
Towards Efficient Task-Driven Model Reprogramming with Foundation Models. CoRR abs/2304.02263 (2023) - [i82]Hongbin Lin, Mingkui Tan, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Dong Liu, Qing Du, Yanxia Liu:
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment. CoRR abs/2305.12649 (2023) - 2022
- [j56]Bohan Zhuang, Chunhua Shen, Mingkui Tan, Peng Chen, Lingqiao Liu, Ian Reid:
Structured Binary Neural Networks for Image Recognition. Int. J. Comput. Vis. 130(9): 2081-2102 (2022) - [j55]Jiezhang Cao, Jincheng Li, Xiping Hu, Xiangmiao Wu, Mingkui Tan:
Towards interpreting deep neural networks via layer behavior understanding. Mach. Learn. 111(3): 1159-1179 (2022) - [j54]Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan:
Improving Generative Adversarial Networks With Local Coordinate Coding. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 211-227 (2022) - [j53]Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan:
Visual Grounding Via Accumulated Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1670-1684 (2022) - [j52]Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jin-Hui Zhu, Mingkui Tan:
Discrimination-Aware Network Pruning for Deep Model Compression. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4035-4051 (2022) - [j51]Bohan Zhuang, Mingkui Tan, Jing Liu, Lingqiao Liu, Ian Reid, Chunhua Shen:
Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6140-6152 (2022) - [j50]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6209-6223 (2022) - [j49]Jiapeng Tang, Xiaoguang Han, Mingkui Tan, Xin Tong, Kui Jia:
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces From RGB Images. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6454-6471 (2022) - [j48]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6501-6516 (2022) - [j47]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu:
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6649-6666 (2022) - [j46]Jinghui Zeng, Wenxin Ma, Wei Jia, Yucheng Li, Haowen Li, Xuewen Liu, Mingkui Tan:
Self-Unwrapping Phase-Shifting for Fast and Accurate 3-D Shape Measurement. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j45]Xingxin He, Leyuan Fang, Mingkui Tan, Xiangdong Chen:
Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation. IEEE Trans. Image Process. 31: 1870-1881 (2022) - [j44]Mingkui Tan, Gengqin Ni, Xu Liu, Shiliang Zhang, Xiangmiao Wu, Yaowei Wang, Runhao Zeng:
Bidirectional Posture-Appearance Interaction Network for Driver Behavior Recognition. IEEE Trans. Intell. Transp. Syst. 23(8): 13242-13254 (2022) - [j43]Yifan Zhang, Peilin Zhao, Qingyao Wu, Bin Li, Junzhou Huang, Mingkui Tan:
Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 34(1): 236-248 (2022) - [j42]Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu:
A Tensor-Based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Trans. Knowl. Data Eng. 34(9): 4063-4076 (2022) - [j41]Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan:
Deep View Synthesis via Self-Consistent Generative Network. IEEE Trans. Multim. 24: 451-465 (2022) - [j40]Shaoshuai Ding, Lei Yang, Jiannong Cao, Wei Cai, Mingkui Tan, Zhenyu Wang:
Partitioning Stateful Data Stream Applications in Dynamic Edge Cloud Environments. IEEE Trans. Serv. Comput. 15(4): 2368-2381 (2022) - [c86]Langyuan Mo, Haokun Li, Chaoyang Zou, Yubing Zhang, Ming Yang, Yihong Yang, Mingkui Tan:
Towards Accurate Facial Motion Retargeting with Identity-Consistent and Expression-Exclusive Constraints. AAAI 2022: 1981-1989 - [c85]Qi Chen, Mingkui Tan, Yuankai Qi, Jiaqiu Zhou, Yuanqing Li, Qi Wu:
V2C: Visual Voice Cloning. CVPR 2022: 21210-21219 - [c84]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. ECCV (33) 2022: 351-368 - [c83]Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. ECCV (26) 2022: 399-417 - [c82]Haokun Li, Jing Liu, Liancheng Jia, Yun Liang, Yaowei Wang, Mingkui Tan:
Downscaling and Overflow-aware Model Compression for Efficient Vision Processors. ICDCS Workshops 2022: 145-150 - [c81]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. ICML 2022: 16888-16905 - [c80]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. NeurIPS 2022 - [c79]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. NeurIPS 2022 - [c78]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-scale Multi-target Domain Adaptation for Angle Closure Classification. PRCV (2) 2022: 77-88 - [i81]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Peilin Zhao, Junzhou Huang, Yaowei Wang, Mingkui Tan:
Boost Test-Time Performance with Closed-Loop Inference. CoRR abs/2203.10853 (2022) - [i80]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan:
Efficient Test-Time Model Adaptation without Forgetting. CoRR abs/2204.02610 (2022) - [i79]Yong Guo, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Jian Chen, Mingkui Tan:
Towards Lightweight Super-Resolution with Dual Regression Learning. CoRR abs/2207.07929 (2022) - [i78]Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan:
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation. CoRR abs/2207.10856 (2022) - [i77]Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. CoRR abs/2208.00119 (2022) - [i76]Junde Wu, Huihui Fang, Hoayi Xiong, Lixin Duan, Mingkui Tan, Weihua Yang, Huiying Liu, Yanwu Xu:
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle. CoRR abs/2208.03016 (2022) - [i75]Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification. CoRR abs/2208.12157 (2022) - [i74]Xinyu Sun, Peihao Chen, Liangwei Chen, Thomas H. Li, Mingkui Tan, Chuang Gan:
M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning. CoRR abs/2210.06096 (2022) - [i73]Peihao Chen, Dongyu Ji, Kunyang Lin, Weiwen Hu, Wenbing Huang, Thomas H. Li, Mingkui Tan, Chuang Gan:
Learning Active Camera for Multi-Object Navigation. CoRR abs/2210.07505 (2022) - [i72]Peihao Chen, Dongyu Ji, Kunyang Lin, Runhao Zeng, Thomas H. Li, Mingkui Tan, Chuang Gan:
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation. CoRR abs/2210.07506 (2022) - [i71]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets. CoRR abs/2210.07634 (2022) - [i70]Yaofo Chen, Yong Guo, Daihai Liao, Fanbing Lv, Hengjie Song, Mingkui Tan:
Automatic Subspace Evoking for Efficient Neural Architecture Search. CoRR abs/2210.17180 (2022) - 2021
- [j39]Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan:
Towards effective deep transfer via attentive feature alignment. Neural Networks 138: 98-109 (2021) - [j38]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-aware convolutional neural networks. Neural Networks 143: 657-668 (2021) - [j37]Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan:
Disturbance-immune weight sharing for neural architecture search. Neural Networks 144: 553-564 (2021) - [j36]Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao:
Deep High-Resolution Representation Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3349-3364 (2021) - [j35]Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan:
A Real-Time Action Representation With Temporal Encoding and Deep Compression. IEEE Trans. Circuits Syst. Video Technol. 31(2): 647-660 (2021) - [j34]Mingkui Tan, Zhibin Hu, Yuguang Yan, Jiezhang Cao, Dong Gong, Qingyao Wu:
Learning Sparse PCA with Stabilized ADMM Method on Stiefel Manifold. IEEE Trans. Knowl. Data Eng. 33(3): 1078-1088 (2021) - [j33]Yifan Zhang, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan:
Online Adaptive Asymmetric Active Learning With Limited Budgets. IEEE Trans. Knowl. Data Eng. 33(6): 2680-2692 (2021) - [c77]Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. AAAI 2021: 1045-1053 - [c76]Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. AAAI 2021: 13397-13405 - [c75]Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. CVPR 2021: 104-113 - [c74]Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan:
Contrastive Neural Architecture Search With Neural Architecture Comparators. CVPR 2021: 9502-9511 - [c73]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. CVPR 2021: 12637-12646 - [c72]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. ICCV 2021: 2763-2772 - [c71]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. ICCV 2021: 8076-8085 - [c70]Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan:
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation. ICCV 2021: 16260-16270 - [c69]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. ICML 2021: 8184-8194 - [c68]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. IJCAI 2021: 2921-2927 - [c67]Yifan Yang, Huihui Fang, Qing Du, Fei Li, Xiulan Zhang, Mingkui Tan, Yanwu Xu:
Distinguishing Differences Matters: Focal Contrastive Network for Peripheral Anterior Synechiae Recognition. MICCAI (8) 2021: 24-33 - [c66]Yanyuan Qiao, Qi Chen, Chaorui Deng, Ning Ding, Yuankai Qi, Mingkui Tan, Xincheng Ren, Qi Wu:
R-GAN: Exploring Human-like Way for Reasonable Text-to-Image Synthesis via Generative Adversarial Networks. ACM Multimedia 2021: 2085-2093 - [c65]Minli Li, Peilin Zhao, Yifan Zhang, Shuaicheng Niu, Qingyao Wu, Mingkui Tan:
Structure-aware Mathematical Expression Recognition with Sequence-Level Modeling. ACM Multimedia 2021: 5038-5046 - [c64]Zhiquan Wen, Guanghui Xu, Mingkui Tan, Qingyao Wu, Qi Wu:
Debiased Visual Question Answering from Feature and Sample Perspectives. NeurIPS 2021: 3784-3796 - [i69]Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. CoRR abs/2101.00916 (2021) - [i68]Jing Liu, Bohan Zhuang, Peng Chen, Yong Guo, Chunhua Shen, Jianfei Cai, Mingkui Tan:
ABS: Automatic Bit Sharing for Model Compression. CoRR abs/2101.04935 (2021) - [i67]Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan:
Deep View Synthesis via Self-Consistent Generative Network. CoRR abs/2101.10844 (2021) - [i66]Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang:
Towards Accurate and Compact Architectures via Neural Architecture Transformer. CoRR abs/2102.10301 (2021) - [i65]Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets. CoRR abs/2103.00219 (2021) - [i64]Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Yaowei Wang, Wei Zeng, Mingkui Tan:
Contrastive Neural Architecture Search with Neural Architecture Comparators. CoRR abs/2103.05471 (2021) - [i63]Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen, Mingkui Tan:
Learning Defense Transformers for Counterattacking Adversarial Examples. CoRR abs/2103.07595 (2021) - [i62]Mingkui Tan, Shuhai Zhang, Jiezhang Cao, Jincheng Li, Yanwu Xu:
Internal Wasserstein Distance for Adversarial Attack and Defense. CoRR abs/2103.07598 (2021) - [i61]Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu:
Towards Accurate Text-based Image Captioning with Content Diversity Exploration. CoRR abs/2105.03236 (2021) - [i60]Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding:
ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. CoRR abs/2106.02342 (2021) - [i59]Zhuangwei Zhuang, Rong Li, Yuanqing Li, Kui Jia, Qicheng Wang, Mingkui Tan:
Perception-aware Multi-sensor Fusion for 3D LiDAR Semantic Segmentation. CoRR abs/2106.15277 (2021) - [i58]Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan:
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation. CoRR abs/2106.15326 (2021) - [i57]Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang:
Content-Aware Convolutional Neural Networks. CoRR abs/2106.15797 (2021) - [i56]Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan:
AdaXpert: Adapting Neural Architecture for Growing Data. CoRR abs/2107.00254 (2021) - [i55]Jing Liu, Bohan Zhuang, Mingkui Tan, Xu Liu, Dinh Phung, Yuanqing Li, Jianfei Cai:
Elastic Architecture Search for Diverse Tasks with Different Resources. CoRR abs/2108.01224 (2021) - [i54]Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia:
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. CoRR abs/2108.07478 (2021) - [i53]Qi Chen, Yuanqing Li, Yuankai Qi, Jiaqiu Zhou, Mingkui Tan, Qi Wu:
V2C: Visual Voice Cloning. CoRR abs/2111.12890 (2021) - [i52]Runhao Zeng, Wenbing Huang, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang, Chuang Gan:
Graph Convolutional Module for Temporal Action Localization in Videos. CoRR abs/2112.00302 (2021) - 2020
- [j32]Huazhu Fu, Fei Li, Xu Sun, Xingxing Cao, Jingan Liao, José Ignacio Orlando, Xing Tao, Yuexiang Li, Shihao Zhang, Mingkui Tan, Chenglang Yuan, Cheng Bian, Ruitao Xie, Jiongcheng Li, Xiaomeng Li, Jing Wang, Le Geng, Panming Li, Yanwu Xu:
AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography. Medical Image Anal. 66: 101798 (2020) - [j31]Yong Guo, Jian Chen, Qing Du, Anton van den Hengel, Qinfeng Shi, Mingkui Tan:
Multi-way backpropagation for training compact deep neural networks. Neural Networks 126: 250-261 (2020) - [j30]Qi Chen, Qi Wu, Jian Chen, Qingyao Wu, Anton van den Hengel, Mingkui Tan:
Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Trans. Image Process. 29: 7454-7467 (2020) - [j29]Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan:
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29: 7834-7844 (2020) - [j28]Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan:
Generating Visually Aligned Sound From Videos. IEEE Trans. Image Process. 29: 8292-8302 (2020) - [j27]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [j26]Wenhe Liu, Dong Gong, Mingkui Tan, Qinfeng (Javen) Shi, Yi Yang, Alexander G. Hauptmann:
Learning Distilled Graph for Large-Scale Social Network Data Clustering. IEEE Trans. Knowl. Data Eng. 32(7): 1393-1404 (2020) - [j25]Peihao Chen, Chuang Gan, Guangyao Shen, Wenbing Huang, Runhao Zeng, Mingkui Tan:
Relation Attention for Temporal Action Localization. IEEE Trans. Multim. 22(10): 2723-2733 (2020) - [c63]Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian:
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI 2020: 6591-6598 - [c62]Deng Huang, Peihao Chen, Runhao Zeng, Qing Du, Mingkui Tan, Chuang Gan:
Location-Aware Graph Convolutional Networks for Video Question Answering. AAAI 2020: 11021-11028 - [c61]Yihan Zheng, Zhiquan Wen, Mingkui Tan, Runhao Zeng, Qi Chen, Yaowei Wang, Qi Wu:
Modular Graph Attention Network for Complex Visual Relational Reasoning. ACCV (6) 2020: 137-153 - [c60]Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. CVPR 2020: 1485-1494 - [c59]Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. CVPR 2020: 5406-5415 - [c58]Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, Chuang Gan:
Dense Regression Network for Video Grounding. CVPR 2020: 10284-10293 - [c57]Qi Chen, Qi Wu, Rui Tang, Yuhan Wang, Shuai Wang, Mingkui Tan:
Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only. CVPR 2020: 12622-12631 - [c56]Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan:
Generative Low-Bitwidth Data Free Quantization. ECCV (12) 2020: 1-17 - [c55]Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan:
Deep Transferring Quantization. ECCV (8) 2020: 625-642 - [c54]Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu:
Length-Controllable Image Captioning. ECCV (13) 2020: 712-729 - [c53]Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan:
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. ICML 2020: 3822-3831 - [c52]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. IJCAI 2020: 898-905 - [c51]Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan:
Relation-Aware Transformer for Portfolio Policy Learning. IJCAI 2020: 4647-4653 - [c50]Shihao Zhang, Huazhu Fu, Yanwu Xu, Yanxia Liu, Mingkui Tan:
Retinal Image Segmentation with a Structure-Texture Demixing Network. MICCAI (5) 2020: 765-774 - [c49]Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR 2020: 157-160 - [c48]Lizhao Liu, Junyi Cao, Minqian Liu, Yong Guo, Qi Chen, Mingkui Tan:
Dynamic Extension Nets for Few-shot Semantic Segmentation. ACM Multimedia 2020: 1441-1449 - [c47]Haoming Xu, Runhao Zeng, Qingyao Wu, Mingkui Tan, Chuang Gan:
Cross-Modal Relation-Aware Networks for Audio-Visual Event Localization. ACM Multimedia 2020: 3893-3901 - [c46]Fen Liu, Guanghui Xu, Qi Wu, Qing Du, Wei Jia, Mingkui Tan:
Cascade Reasoning Network for Text-based Visual Question Answering. ACM Multimedia 2020: 4060-4069 - [i51]