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ORCIDShuicheng Yan
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- affiliation: National University of Singapore, Department of Electrical and Computer Engineering
- affiliation: University of Illinois, Department of Electrical and Computer Engineering
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2020 – today
- 2023
[j297]Qibin Hou
, Zihang Jiang, Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng:
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1328-1334 (2023)- [j296]Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan:
VOLO: Vision Outlooker for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6575-6586 (2023) - [j295]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j294]Zhao Zhang, Yanyan Wei, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Data-Driven single image deraining: A Comprehensive review and new perspectives. Pattern Recognit. 143: 109740 (2023) - [j293]Han Yan, Haijun Zhang, Linlin Liu, Dongliang Zhou, Xiaofei Xu, Zhao Zhang, Shuicheng Yan:
Toward Intelligent Design: An AI-Based Fashion Designer Using Generative Adversarial Networks Aided by Sketch and Rendering Generators. IEEE Trans. Multim. 25: 2323-2338 (2023) - [c402]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c401]Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung:
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CVPR 2023: 7380-7391 - [c400]Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-Guided Text Prompt for Vision-Language Pre-Training. CVPR 2023: 23242-23251 - [c399]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. ICDAR (2) 2023: 536-552 - [c398]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - [c397]Yi Ren, Chen Zhang, Shuicheng Yan:
Bag of Tricks for Unsupervised Text-to-Speech. ICLR 2023 - [c396]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. ICLR 2023 - [c395]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023 - [c394]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. ICLR 2023 - [c393]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. ICLR 2023 - [c392]Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. ICLR 2023 - [c391]Jiachun Pan, Pan Zhou, Shuicheng Yan:
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks. ICLR 2023 - [c390]Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR 2023 - [c389]Haiyan Yin, Shuicheng Yan, Zhongwen Xu:
Distributional Meta-Gradient Reinforcement Learning. ICLR 2023 - [c388]Pan Zhou, Xingyu Xie, Shuicheng Yan:
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms. ICLR 2023 - [c387]Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer: When Spiking Neural Network Meets Transformer. ICLR 2023 - [c386]Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin:
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. ICML 2023: 8565-8584 - [c385]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. ICML 2023: 36246-36263 - [c384]Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan:
Bag of Tricks for Training Data Extraction from Language Models. ICML 2023: 40306-40320 - [c383]Tiancheng Cao, Weihao Yu, Yuan Gao, Chen Liu, Shuicheng Yan, Wang Ling Goh:
RRAM-PoolFormer: A Resistive Memristor-based PoolFormer Modeling and Training Framework for Edge-AI Applications. ISCAS 2023: 1-5 - [i204]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023) - [i203]Wanqi Xue, Bo An, Shuicheng Yan, Zhongwen Xu:
Reinforcement Learning from Diverse Human Preferences. CoRR abs/2301.11774 (2023) - [i202]Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin:
Does Federated Learning Really Need Backpropagation? CoRR abs/2301.12195 (2023) - [i201]Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. CoRR abs/2302.00965 (2023) - [i200]Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. CoRR abs/2302.01470 (2023) - [i199]Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan:
Bag of Tricks for Training Data Extraction from Language Models. CoRR abs/2302.04460 (2023) - [i198]Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan:
Better Diffusion Models Further Improve Adversarial Training. CoRR abs/2302.04638 (2023) - [i197]Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng:
On Calibrating Diffusion Probabilistic Models. CoRR abs/2302.10688 (2023) - [i196]Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. CoRR abs/2302.13668 (2023) - [i195]Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR abs/2303.00399 (2023) - [i194]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Masked Diffusion Transformer is a Strong Image Synthesizer. CoRR abs/2303.14389 (2023) - [i193]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CoRR abs/2303.16900 (2023) - [i192]Haozhe Feng, Zhaorui Yang, Hesun Chen, Tianyu Pang, Chao Du, Minfeng Zhu, Wei Chen, Shuicheng Yan:
CoSDA: Continual Source-Free Domain Adaptation. CoRR abs/2304.06627 (2023) - [i191]Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung:
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CoRR abs/2304.07574 (2023) - [i190]Moloud Abdar, Meenakshi Kollati, Swaraja Kuraparthi, Farhad Pourpanah, Daniel McDuff, Mohammad Ghavamzadeh, Shuicheng Yan, Abduallah Mohamed, Abbas Khosravi, Erik Cambria, Fatih Porikli:
A Review of Deep Learning for Video Captioning. CoRR abs/2304.11431 (2023) - [i189]Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin:
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. CoRR abs/2305.02164 (2023) - [i188]Tianping Zhang, Shaowen Wang, Shuicheng Yan, Jian Li, Qian Liu:
Generative Table Pre-training Empowers Models for Tabular Prediction. CoRR abs/2305.09696 (2023) - [i187]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR abs/2305.20081 (2023) - [i186]Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan:
Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR abs/2306.00972 (2023) - [i185]Zhihe Lu, Shuicheng Yan, Xinchao Wang:
Efficient Multi-Grained Knowledge Reuse for Class Incremental Segmentation. CoRR abs/2306.02027 (2023) - [i184]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. CoRR abs/2306.03287 (2023) - [i183]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i182]Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He:
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR abs/2308.02565 (2023) - [i181]Qiaosong Qi, Le Zhuo, Aixi Zhang, Yue Liao, Fei Fang, Si Liu, Shuicheng Yan:
DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation. CoRR abs/2308.02915 (2023) - 2022
- [j292]Jian Zhao, Shuicheng Yan, Jiashi Feng:
Towards Age-Invariant Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 474-487 (2022) - [j291]Si Liu, Guanghui Ren, Yao Sun, Jinqiao Wang, Changhu Wang, Bo Li, Shuicheng Yan:
Fine-Grained Human-Centric Tracklet Segmentation with Single Frame Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 610-621 (2022) - [j290]Si Liu, Zitian Wang, Yulu Gao, Lejian Ren, Yue Liao, Guanghui Ren, Bo Li, Shuicheng Yan:
Human-Centric Relation Segmentation: Dataset and Solution. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4987-5001 (2022) - [j289]Si Liu, Wentao Jiang, Chen Gao, Ran He, Jiashi Feng, Bo Li, Shuicheng Yan:
PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8538-8551 (2022) - [j288]Guangyu Gao, Zhiyuan Fang, Cen Han, Yunchao Wei, Chi Harold Liu, Shuicheng Yan:
DRNet: Double Recalibration Network for Few-Shot Semantic Segmentation. IEEE Trans. Image Process. 31: 6733-6746 (2022) - [c382]Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang:
Deep Color Consistent Network for Low-Light Image Enhancement. CVPR 2022: 1889-1898 - [c381]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819 - [c380]Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu:
Improving Vision Transformers by Revisiting High-Frequency Components. ECCV (24) 2022: 1-18 - [c379]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. ECCV (36) 2022: 39-58 - [c378]Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan:
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering. ECCV (23) 2022: 222-239 - [c377]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Self-Promoted Supervision for Few-Shot Transformer. ECCV (20) 2022: 329-347 - [c376]Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan:
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition. ECCV (34) 2022: 577-595 - [c375]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan:
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization. ICDM 2022: 141-150 - [c374]Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan:
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. ICML 2022: 17258-17277 - [c373]Suiyi Zhao, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Meng Wang, Shuicheng Yan:
CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring. ACM Multimedia 2022: 6193-6201 - [c372]Huan Zheng, Zhao Zhang, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Deep Multi-Resolution Mutual Learning for Image Inpainting. ACM Multimedia 2022: 6359-6367 - [c371]Yanyan Wei, Zhao Zhang, Mingliang Xu, Richang Hong, Jicong Fan, Shuicheng Yan:
Robust Attention Deraining Network for Synchronous Rain Streaks and Raindrops Removal. ACM Multimedia 2022: 6464-6472 - [c370]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. NeurIPS 2022 - [c369]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan:
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. NeurIPS 2022 - [c368]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Towards Class Interpretable Vision Transformer with Multi-Class-Tokens. PRCV (3) 2022: 609-622 - [i180]Shervin Minaee, Xiaodan Liang, Shuicheng Yan:
Modern Augmented Reality: Applications, Trends, and Future Directions. CoRR abs/2202.09450 (2022) - [i179]Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan:
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. CoRR abs/2202.10103 (2022) - [i178]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
Self-Promoted Supervision for Few-Shot Transformer. CoRR abs/2203.07057 (2022) - [i177]Pan Zhou, Yichen Zhou, Chenyang Si, Weihao Yu, Teck Khim Ng, Shuicheng Yan:
Mugs: A Multi-Granular Self-Supervised Learning Framework. CoRR abs/2203.14415 (2022) - [i176]Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu:
Improving Vision Transformers by Revisiting High-frequency Components. CoRR abs/2204.00993 (2022) - [i175]Yangcheng Gao, Zhao Zhang, Richang Hong, Haijun Zhang, Jicong Fan, Shuicheng Yan, Meng Wang:
ClusterQ: Semantic Feature Distribution Alignment for Data-Free Quantization. CoRR abs/2205.00179 (2022) - [i174]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. CoRR abs/2205.12956 (2022) - [i173]Tianyu Pang, Shuicheng Yan, Min Lin:
O(N2) Universal Antisymmetry in Fermionic Neural Networks. CoRR abs/2205.13205 (2022) - [i172]Jiayi Weng, Min Lin, Shengyi Huang, Bo Liu, Denys Makoviichuk, Viktor Makoviychuk, Zichen Liu, Yufan Song, Ting Luo, Yukun Jiang, Zhongwen Xu, Shuicheng Yan:
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine. CoRR abs/2206.10558 (2022) - [i171]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR abs/2206.12542 (2022) - [i170]Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. CoRR abs/2207.05342 (2022) - [i169]Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. CoRR abs/2208.06677 (2022) - [i168]Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer: When Spiking Neural Network Meets Transformer. CoRR abs/2209.15425 (2022) - [i167]Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Yi Yang, Shuicheng Yan:
Seeing Through The Noisy Dark: Toward Real-world Low-Light Image Enhancement and Denoising. CoRR abs/2210.00545 (2022) - [i166]Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo:
LPT: Long-tailed Prompt Tuning for Image Classification. CoRR abs/2210.01033 (2022) - [i165]Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Kai Su, Lei Jin, Mei Song, Shuicheng Yan, Jian Zhao:
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression. CoRR abs/2210.04014 (2022) - [i164]Zichen Liu, Siyi Li, Wee Sun Lee, Shuicheng Yan, Zhongwen Xu:
Efficient Offline Policy Optimization with a Learned Model. CoRR abs/2210.05980 (2022) - [i163]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. CoRR abs/2210.07484 (2022) - [i162]Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR abs/2210.09241 (2022) - [i161]Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning. CoRR abs/2210.09646 (2022) - [i160]Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan:
Towards Sustainable Self-supervised Learning. CoRR abs/2210.11016 (2022) - [i159]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022) - [i158]Chen Zhang, Yi Ren, Kejun Zhang, Shuicheng Yan:
SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation. CoRR abs/2211.00222 (2022) - [i157]Huan Zheng, Zhao Zhang, Jicong Fan, Richang Hong, Yi Yang, Shuicheng Yan:
Decoupled Cross-Scale Cross-View Interaction for Stereo Image Enhancement in The Dark. CoRR abs/2211.00859 (2022) - [i156]Zhao Zhang, Suiyi Zhao, Xiaojie Jin, Mingliang Xu, Yi Yang, Shuicheng Yan:
NoiSER: Noise is All You Need for Low-Light Image Enhancement. CoRR abs/2211.04700 (2022) - [i155]Alex Jinpeng Wang, Pan Zhou, Mike Zheng Shou, Shuicheng Yan:
Position-guided Text Prompt for Vision-Language Pre-training. CoRR abs/2212.09737 (2022) - 2021
- [j287]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior. Int. J. Comput. Vis. 129(12): 3233-3254 (2021) - [j286]Zhao Zhang, Yan Zhang, Mingliang Xu, Li Zhang, Yi Yang, Shuicheng Yan:
A Survey on Concept Factorization: From Shallow to Deep Representation Learning. Inf. Process. Manag. 58(3): 102534 (2021) - [j285]Zhao Zhang, Sheng Li, Meng Wang, Shuicheng Yan:
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. Image Vis. Comput. 112: 104239 (2021) - [j284]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) - [j283]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) - [j282]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) - [j281]Yanyan Wei, Zhao Zhang, Yang Wang, Mingliang Xu, Yi Yang, Shuicheng Yan, Meng Wang:
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking. IEEE Trans. Image Process. 30: 4788-4801 (2021) - [j280]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1523-1539 (2021) - [j279]Guanghui Ren, Lejian Ren, Yue Liao, Si Liu, Bo Li, Jizhong Han, Shuicheng Yan:
Scene Graph Generation With Hierarchical Context. IEEE Trans. Neural Networks Learn. Syst. 32(2): 909-915 (2021) - [j278]Chuan-Xian Ren, Pengfei Ge, Pei-Yi Yang, Shuicheng Yan:
Learning Target-Domain-Specific Classifier for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32(5): 1989-2001 (2021) - [j277]Zhao Zhang, Jiahuan Ren, Haijun Zhang, Zheng Zhang, Guangcan Liu, Shuicheng Yan:
DLRF-Net: A Progressive Deep Latent Low-Rank Fusion Network for Hierarchical Subspace Discovery. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 5:1-5:24 (2021) - [j276]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) - [c367]Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Partial-Label and Structure-constrained Deep Coupled Factorization Network. AAAI 2021: 10948-10955 - [c366]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 - [c365]Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan:
PnP-DETR: Towards Efficient Visual Analysis with Transformers. ICCV 2021: 4641-4650 - [c364]Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang:
Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. ICDM 2021: 946-955 - [c363]Shangzhe Di, Zeren Jiang, Si Liu, Zhaokai Wang, Leyan Zhu, Zexin He, Hongming Liu