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冯佳时
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2020 – today
- 2022
[j84]Jian Zhao
, Shuicheng Yan, Jiashi Feng:
Towards Age-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 474-487 (2022)- [j83]Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou:
Velocity-to-velocity human motion forecasting. Pattern Recognit. 124: 108424 (2022) - [j82]Xiaoguang Tu, Jian Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Joint Face Image Restoration and Frontalization for Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1285-1298 (2022) - [j81]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1805-1819 (2022) - [j80]Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation. IEEE Trans. Image Process. 31: 839-851 (2022) - [i208]Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan:
Towards Adversarially Robust Deep Image Denoising. CoRR abs/2201.04397 (2022) - [i207]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i206]Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng:
SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations. CoRR abs/2202.07402 (2022) - [i205]Shoukang Hu, Ruochen Wang, Lanqing Hong, Zhenguo Li, Cho-Jui Hsieh, Jiashi Feng:
Generalizing Few-Shot NAS with Gradient Matching. CoRR abs/2203.15207 (2022) - [i204]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CoRR abs/2203.15625 (2022) - [i203]Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Anima Anandkumar, Jiashi Feng, Jose M. Alvarez:
Understanding The Robustness in Vision Transformers. CoRR abs/2204.12451 (2022) - [i202]Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang:
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022) - [i201]Jiawei Du, Daquan Zhou, Jiashi Feng, Vincent Y. F. Tan, Joey Tianyi Zhou:
Sharpness-Aware Training for Free. CoRR abs/2205.14083 (2022) - [i200]Jianfei Yang, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You:
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors. CoRR abs/2205.14467 (2022) - 2021
- [j79]Meng-Jiun Chiou, Roger Zimmermann, Jiashi Feng:
Visual Relationship Detection With Visual-Linguistic Knowledge From Multimodal Representations. IEEE Access 9: 50441-50451 (2021) - [j78]Zun Li, Congyan Lang, Tao Wang, Yidong Li, Jiashi Feng:
Deep spatio-frequency saliency detection. Neurocomputing 453: 645-655 (2021) - [j77]Pan Zhou, Xiao-Tong Yuan, Shuicheng Yan, Jiashi Feng:
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 459-472 (2021) - [j76]Pan Zhou, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Tensor Low-Rank Representation for Data Recovery and Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1718-1732 (2021) - [j75]Zequn Jie, Peng Sun, Xi Li, Jiashi Feng, Wei Liu:
Anytime Recognition with Routing Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1875-1886 (2021) - [j74]Chuan-Xian Ren, Jiashi Feng, Dao-Qing Dai, Shuicheng Yan:
Heterogeneous Domain Adaptation via Covariance Structured Feature Translators. IEEE Trans. Cybern. 51(4): 2166-2177 (2021) - [j73]Zun Li, Congyan Lang, Jun Hao Liew, Yidong Li, Qibin Hou, Jiashi Feng:
Cross-Layer Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 30: 4587-4598 (2021) - [j72]Yong Deng, Jimin Xiao, Steven Zhiying Zhou, Jiashi Feng:
Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow. IEEE Trans. Image Process. 30: 5835-5847 (2021) - [j71]Hongsong Wang, Jian Dong, Bin Cheng, Jiashi Feng:
PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction. IEEE Trans. Image Process. 30: 6096-6106 (2021) - [j70]Ting Liu, Jianfeng Zhang, Xuecheng Nie, Yunchao Wei, Shikui Wei, Yao Zhao, Jiashi Feng:
Spatial-Aware Texture Transformer for High-Fidelity Garment Transfer. IEEE Trans. Image Process. 30: 7499-7510 (2021) - [j69]Xiaoguang Tu, Jian Zhao, Mei Xie, Zihang Jiang, Akshaya Balamurugan, Yao Luo, Yang Zhao, Lingxiao He, Zheng Ma, Jiashi Feng:
3D Face Reconstruction From A Single Image Assisted by 2D Face Images in the Wild. IEEE Trans. Multim. 23: 1160-1172 (2021) - [j68]Jianshu Li, Jian Zhao, Congyan Lang, Yidong Li, Yunchao Wei, Guodong Guo, Terence Sim, Shuicheng Yan, Jiashi Feng:
Multi-human Parsing with a Graph-based Generative Adversarial Model. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 29:1-29:21 (2021) - [c196]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. ACL/IJCNLP (Findings) 2021: 13-27 - [c195]Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng:
Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. CIKM 2021: 2728-2737 - [c194]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CVPR 2021: 546-556 - [c193]Kehong Gong, Jianfeng Zhang, Jiashi Feng:
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. CVPR 2021: 8575-8584 - [c192]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CVPR 2021: 13713-13722 - [c191]Jian Liang, Dapeng Hu, Jiashi Feng:
Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. CVPR 2021: 16632-16642 - [c190]Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng:
Continual Learning via Bit-Level Information Preserving. CVPR 2021: 16674-16683 - [c189]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. ICCV 2021: 327-336 - [c188]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. ICCV 2021: 538-547 - [c187]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c186]Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. ICCV 2021: 4641-4650 - [c185]Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng:
Exploring Balanced Feature Spaces for Representation Learning. ICLR 2021 - [c184]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. ICML 2021: 11003-11012 - [c183]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. ICML 2021: 11693-11703 - [c182]Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann, Jiashi Feng:
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. ICDAR@ICMR 2021: 9-17 - [c181]Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu:
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys 2021 - [c180]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. ACM Multimedia 2021: 1581-1590 - [c179]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. NeurIPS 2021: 5972-5984 - [c178]Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng:
Direct Multi-view Multi-person 3D Pose Estimation. NeurIPS 2021: 13153-13164 - [c177]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng:
All Tokens Matter: Token Labeling for Training Better Vision Transformers. NeurIPS 2021: 18590-18602 - [c176]Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan:
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond. NeurIPS 2021: 27290-27304 - [c175]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. NeurIPS 2021: 29848-29860 - [c174]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [c173]Jun Hao Liew, Scott Cohen, Brian L. Price, Long Mai, Jiashi Feng:
Deep Interactive Thin Object Selection. WACV 2021: 305-314 - [c172]Zichen Liu, Jun Hao Liew, Xiangyu Chen, Jiashi Feng:
DANCE : A Deep Attentive Contour Model for Efficient Instance Segmentation. WACV 2021: 345-354 - [i199]Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan:
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing. CoRR abs/2101.03929 (2021) - [i198]Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan:
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. CoRR abs/2101.11986 (2021) - [i197]Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama:
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection. CoRR abs/2102.05311 (2021) - [i196]Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng:
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning. CoRR abs/2102.06605 (2021) - [i195]Qibin Hou, Daquan Zhou, Jiashi Feng:
Coordinate Attention for Efficient Mobile Network Design. CoRR abs/2103.02907 (2021) - [i194]Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng:
AutoSpace: Neural Architecture Search with Less Human Interference. CoRR abs/2103.11833 (2021) - [i193]Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng:
DeepViT: Towards Deeper Vision Transformer. CoRR abs/2103.11886 (2021) - [i192]Shuning Chang, Pichao Wang, Fan Wang, Hao Li, Jiashi Feng:
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation. CoRR abs/2103.16024 (2021) - [i191]Jian Liang, Dapeng Hu, Ran He, Jiashi Feng:
Distill and Fine-tune: Effective Adaptation from a Black-box Source Model. CoRR abs/2104.01539 (2021) - [i190]Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng:
Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet. CoRR abs/2104.10858 (2021) - [i189]Dapeng Hu, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Alfred Shen, Jiashi Feng:
How Well Self-Supervised Pre-Training Performs with Streaming Data? CoRR abs/2104.12081 (2021) - [i188]Kehong Gong, Jianfeng Zhang, Jiashi Feng:
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. CoRR abs/2105.02465 (2021) - [i187]Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. CoRR abs/2105.02467 (2021) - [i186]Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng:
Continual Learning via Bit-Level Information Preserving. CoRR abs/2105.04444 (2021) - [i185]Xiaoguang Tu, Jian Zhao, Qiankun Liu, Wenjie Ai, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Joint Face Image Restoration and Frontalization for Recognition. CoRR abs/2105.09907 (2021) - [i184]Meng-Jiun Chiou, Chun-Yu Liao, Li-Wei Wang, Roger Zimmermann, Jiashi Feng:
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos. CoRR abs/2105.11731 (2021) - [i183]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. CoRR abs/2105.12324 (2021) - [i182]Xiaoguang Tu, Yingtian Zou, Jian Zhao, Wenjie Ai, Jian Dong, Yuan Yao, Zhikang Wang, Guodong Guo, Zhifeng Li, Wei Liu, Jiashi Feng:
Image-to-Video Generation via 3D Facial Dynamics. CoRR abs/2105.14678 (2021) - [i181]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Yuan Li, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i180]Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng:
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data. CoRR abs/2106.05001 (2021) - [i179]Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou, Jiashi Feng:
LV-BERT: Exploiting Layer Variety for BERT. CoRR abs/2106.11740 (2021) - [i178]Qibin Hou, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. CoRR abs/2106.12368 (2021) - [i177]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. CoRR abs/2106.13112 (2021) - [i176]Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng:
Recovering the Unbiased Scene Graphs from the Biased Ones. CoRR abs/2107.02112 (2021) - [i175]Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng:
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing. CoRR abs/2107.05545 (2021) - [i174]Yifan Zhang, Bryan Hooi, Lanqing Hong, Jiashi Feng:
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision. CoRR abs/2107.09249 (2021) - [i173]Tian Yu Liu, Jiashi Feng:
Triplet Contrastive Learning for Brain Tumor Classification. CoRR abs/2108.03611 (2021) - [i172]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i171]Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li:
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR abs/2109.05765 (2021) - [i170]Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. CoRR abs/2109.07036 (2021) - [i169]Jiawei Du, Hanshu Yan, Jiashi Feng, Joey Tianyi Zhou, Liangli Zhen, Rick Siow Mong Goh, Vincent Y. F. Tan:
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks. CoRR abs/2110.03141 (2021) - [i168]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - [i167]Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng:
Direct Multi-view Multi-person 3D Pose Estimation. CoRR abs/2111.04076 (2021) - [i166]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CoRR abs/2111.11418 (2021) - [i165]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CoRR abs/2111.15193 (2021) - [i164]Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Jiashi Feng, Shuicheng Yan:
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. CoRR abs/2112.04312 (2021) - [i163]Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan:
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. CoRR abs/2112.04731 (2021) - [i162]Jian Liang, Dapeng Hu, Jiashi Feng, Ran He:
UMAD: Universal Model Adaptation under Domain and Category Shift. CoRR abs/2112.08553 (2021) - 2020
- [j67]Jian Zhao, Junliang Xing, Lin Xiong, Shuicheng Yan, Jiashi Feng:
Recognizing Profile Faces by Imagining Frontal View. Int. J. Comput. Vis. 128(2): 460-478 (2020) - [j66]Jian Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng:
Fine-Grained Multi-human Parsing. Int. J. Comput. Vis. 128(8): 2185-2203 (2020) - [j65]Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo:
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics. NeuroImage 206 (2020) - [j64]Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage 222: 117203 (2020) - [j63]Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan:
Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 925-938 (2020) - [j62]Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng:
Online Meta Adaptation for Fast Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1205-1217 (2020) - [j61]Wenhan Yang, Robby T. Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, Jiaying Liu:
Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1377-1393 (2020) - [j60]Mengyin Wang, Xiangbo Shu, Jiashi Feng, Xun Wang, Jinhui Tang:
Deep multi-person kinship matching and recognition for family photos. Pattern Recognit. 105: 107342 (2020) - [j59]Mingjie Sun, Jimin Xiao, Eng Gee Lim, Yanchun Xie, Jiashi Feng:
Adaptive ROI generation for video object segmentation using reinforcement learning. Pattern Recognit. 106: 107465 (2020) - [j58]Yang Zhao, Yong Dou, Jiashi Feng:
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos. IEEE Signal Process. Lett. 27: 1949-1953 (2020) - [j57]Xiaopeng Zhang, Yang Yang, Hongkai Xiong, Jiashi Feng:
PML-LocNet: Improving Object Localization With Prior-Induced Multi-View Learning Network. IEEE Trans. Image Process. 29: 2568-2582 (2020) - [j56]Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan:
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing. IEEE Trans. Image Process. 29: 8251-8263 (2020) - [j55]Xiaoguang Tu, Zheng Ma, Jian Zhao, Guodong Du, Mei Xie, Jiashi Feng:
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing. ACM Trans. Intell. Syst. Technol. 11(5): 60:1-60:19 (2020) - [j54]Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng:
Unsupervised Video Summarization With Cycle-Consistent Adversarial LSTM Networks. IEEE Trans. Multim. 22(10): 2711-2722 (2020) - [j53]Pengfei Ge, Chuan-Xian Ren, Dao-Qing Dai, Jiashi Feng, Shuicheng Yan:
Dual Adversarial Autoencoders for Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1417-1424 (2020) - [j52]Xi Peng, Hongyuan Zhu, Jiashi Feng, Chunhua Shen, Haixian Zhang, Joey Tianyi Zhou:
Deep Clustering With Sample-Assignment Invariance Prior. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4857-4868 (2020) - [j51]Xi Peng, Jiashi Feng, Joey Tianyi Zhou, Yingjie Lei, Shuicheng Yan:
Deep Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5509-5521 (2020) - [c171]Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. CVPR 2020: 479-487 - [c170]Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng:
Central Similarity Quantization for Efficient Image and Video Retrieval. CVPR 2020: 3080-3089 - [c169]Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisiting Knowledge Distillation via Label Smoothing Regularization. CVPR 2020: 3902-3910 - [c168]Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. CVPR 2020: 4002-4011 - [c167]Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. CVPR 2020: 5193-5201 - [c166]Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng:
Improving Convolutional Networks With Self-Calibrated Convolutions. CVPR 2020: 10093-10102 - [c165]Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng:
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. CVPR 2020: 10988-10997 - [c164]Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang:
Boosting Few-Shot Learning With Adaptive Margin Loss. CVPR 2020: 12573-12581 - [c163]Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. ECCV (7) 2020: 35-51 - [c162]Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng:
A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. ECCV (11) 2020: 123-140 - [c161]Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
Rethinking Bottleneck Structure for Efficient Mobile Network Design. ECCV (3) 2020: 680-697 - [c160]Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng:
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) 2020: 728-744 - [c159]Jiawei Du, Hu Zhang, Joey Tianyi Zhou, Yi Yang, Jiashi Feng:
Query-efficient Meta Attack to Deep Neural Networks. ICLR 2020 - [c158]