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ORCIDKe Li 0015
Person information
- affiliation: Tencent Youtu Lab, Shanghai, China
Other persons with the same name
- Ke Li — disambiguation page
- Ke Li 0001
![[0000-0001-7200-4244]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7200-4244")
— University of Exeter, College of Engineering, Mathematics and Physical Sciences, UK (and 4 more) - Ke Li 0002 — Shandong University, School of Control Science and Engineering, Jinan, China (and 1 more)
- Ke Li 0003 — Beijing Union University, College of Information Technology, China (and 2 more)
- Ke Li 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Ke Li 0005 — PLA Strategic Support Force Information Engineering University, China (and 1 more)
- Ke Li 0006 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Ke Li 0007 — Shandong University, School of Control Science and Engineering, Jinan, China
- Ke Li 0008 — University of Southampton, Optoelectronics Research Centre, UK
- Ke Li 0009 — Heriot-Watt University, Edinburgh, UK
- Ke Li 0010 — Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, China
- Ke Li 0011 — University of California, Berkeley, USA
- Kenneth Li 0002 (aka: Ke Li 0012) — Harvard University, MA, USA
- Ke Li 0013 — Cornell University, Ithaca, NY, USA
- Ke Li 0014 — Sorbonne University, France
- Ke Li 0016 — Harbin Institute of Technology, Institute for Advanced Study in Mathematics, Nangang, China (and 1 more)
- Ke Li 0017 — Naval University of Engineering, Electronic Engineering Institute, China
- Ke Li 0018 — Facebook AI, Menlo Park, CA, USA (and 1 more)
- Ke Li 0019 — University of Electronic Science and Technology of China, Chengdu, China
- Ke Li 0020 — Southwest Jiaotong University, School of Computing and Artificial Intelligence, Chengdu, China (and 1 more)
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2020 – today
- 2024
[j5]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6525-6541 (2024)- [c39]Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Enwei Zhang, Ke Li, Jie Yang, Wei Liu, Xing Sun:
SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger. AAAI 2024: 1860-1868 - [c38]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. AAAI 2024: 3404-3412 - [c37]Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai:
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. AAAI 2024: 4388-4396 - [c36]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. AAAI 2024: 13709-13717 - [c35]Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li:
Sinkhorn Distance Minimization for Knowledge Distillation. LREC/COLING 2024: 14846-14858 - [c34]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CVPR 2024: 13193-13203 - [c33]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CVPR 2024: 15783-15792 - [c32]Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CVPR 2024: 16880-16889 - [c31]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. ICML 2024 - [c30]Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity. ICML 2024 - [c29]Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji:
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment. ICML 2024 - [c28]Yusong Hu, Yuting Gao, Zihan Xu, Ke Li, Xialei Liu:
A3R: Vision Language Pre-training by Attentive Alignment and Attentive Reconstruction. PRCV (5) 2024: 129-142 - [i54]Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji:
Feature Denoising Diffusion Model for Blind Image Quality Assessment. CoRR abs/2401.11949 (2024) - [i53]Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li:
Sinkhorn Distance Minimization for Knowledge Distillation. CoRR abs/2402.17110 (2024) - [i52]Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu:
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning. CoRR abs/2403.06136 (2024) - [i51]Wenxuan Huang, Yunhang Shen, Jiao Xie, Baochang Zhang, Gaoqi He, Ke Li, Xing Sun, Shaohui Lin:
A General and Efficient Training for Transformer via Token Expansion. CoRR abs/2404.00672 (2024) - [i50]Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji:
Multi-Modal Prompt Learning on Blind Image Quality Assessment. CoRR abs/2404.14949 (2024) - [i49]Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun:
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. CoRR abs/2405.21075 (2024) - [i48]Ke Li, Weian Mao, Shuaike Shen, Xiaoran Jiao, Zheng Sun, Hao Cheng, Chunhua Shen:
Floating Anchor Diffusion Model for Multi-motif Scaffolding. CoRR abs/2406.03141 (2024) - [i47]Timin Gao, Wensheng Pan, Yan Zhang, Sicheng Zhao, Shengchuan Zhang, Xiawu Zheng, Ke Li, Liujuan Cao, Rongrong Ji:
Local Manifold Learning for No-Reference Image Quality Assessment. CoRR abs/2406.19247 (2024) - [i46]Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun:
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. CoRR abs/2408.02085 (2024) - [i45]Yuncheng Yang, Yulei Qin, Tong Wu, Zihan Xu, Gang Li, Pengcheng Guo, Hang Shao, Yucheng Shi, Ke Li, Xing Sun, Jie Yang, Yun Gu:
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. CoRR abs/2408.15915 (2024) - 2023
- [j4]Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal normalization for domain adaptation. Pattern Recognit. 140: 109533 (2023) - [j3]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-Distilling TransUNet. IEEE Trans. Medical Imaging 42(9): 2740-2750 (2023) - [c27]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer. AAAI 2023: 7042-7052 - [c26]Linrui Gong, Shaohui Lin, Baochang Zhang, Yunhang Shen, Ke Li, Ruizhi Qiao, Bo Ren, Muqing Li, Zhou Yu, Lizhuang Ma:
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation. AAAI 2023: 7731-7739 - [c25]Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian:
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia 2023: 5655-5664 - [c24]Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu:
Multi-modal Queried Object Detection in the Wild. NeurIPS 2023 - [c23]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS 2023 - [c22]Xiangchuang Chen, Yunhang Shen, Xuan Luo, Yan Zhang, Ke Li, Shaohui Lin:
Classifier Decoupled Training for Black-Box Unsupervised Domain Adaptation. PRCV (3) 2023: 16-30 - [c21]Chong Huang, Shaohui Lin, Yan Zhang, Ke Li, Baochang Zhang:
Data-Free Low-Bit Quantization via Dynamic Multi-teacher Knowledge Distillation. PRCV (8) 2023: 28-41 - [i44]Yuting Gao, Jinfeng Liu, Zihan Xu, Tong Wu, Wei Liu, Jie Yang, Ke Li, Xing Sun:
SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger. CoRR abs/2303.17561 (2023) - [i43]Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, Changsheng Xu:
Multi-modal Queried Object Detection in the Wild. CoRR abs/2305.18980 (2023) - [i42]Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji:
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR abs/2306.13394 (2023) - [i41]Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen:
A Survey on Multimodal Large Language Models. CoRR abs/2306.13549 (2023) - [i40]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR abs/2310.09761 (2023) - [i39]Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen:
Woodpecker: Hallucination Correction for Multimodal Large Language Models. CoRR abs/2310.16045 (2023) - [i38]Tong Wu, Yulei Qin, Enwei Zhang, Zihan Xu, Yuting Gao, Ke Li, Xing Sun:
Towards Robust Text Retrieval with Progressive Learning. CoRR abs/2311.11691 (2023) - [i37]Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. CoRR abs/2312.00591 (2023) - [i36]Yunhang Shen, Chaoyou Fu, Peixian Chen, Mengdan Zhang, Ke Li, Xing Sun, Yunsheng Wu, Shaohui Lin, Rongrong Ji:
Aligning and Prompting Everything All at Once for Universal Visual Perception. CoRR abs/2312.02153 (2023) - [i35]Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji:
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity. CoRR abs/2312.06158 (2023) - [i34]Tao Chen, Enwei Zhang, Yuting Gao, Ke Li, Xing Sun, Yan Zhang, Hui Li:
MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples. CoRR abs/2312.06363 (2023) - [i33]Yunchen Li, Zhou Yu, Gaoqi He, Yunhang Shen, Ke Li, Xing Sun, Shaohui Lin:
SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space. CoRR abs/2312.08200 (2023) - [i32]Chaoyou Fu, Renrui Zhang, Zihan Wang, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Hongsheng Li, Xing Sun:
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. CoRR abs/2312.12436 (2023) - [i31]Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao:
Weakly Supervised Open-Vocabulary Object Detection. CoRR abs/2312.12437 (2023) - 2022
- [c20]Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. AAAI 2022: 2964-2972 - [c19]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CVPR 2022: 10884-10893 - [c18]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. ECCV (18) 2022: 1-18 - [c17]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-Free Object Detection with Transformers. ECCV (10) 2022: 70-86 - [c16]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. ECCV (11) 2022: 70-86 - [c15]Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen:
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. ECCV (26) 2022: 237-253 - [c14]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. ECCV (19) 2022: 254-270 - [c13]Haiyan Wu, Yuting Gao, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun, Ke Li:
Self-supervised Models are Good Teaching Assistants for Vision Transformers. ICML 2022: 24031-24042 - [c12]Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. NeurIPS 2022 - [c11]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. NeurIPS 2022 - [i30]Yuxin Zhang, Mingbao Lin, Mengzhao Chen, Zihan Xu, Fei Chao, Yunhang Shen, Ke Li, Yongjian Wu, Rongrong Ji:
Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need. CoRR abs/2201.12826 (2022) - [i29]Mengzhao Chen, Mingbao Lin, Ke Li, Yunhang Shen, Yongjian Wu, Fei Chao, Rongrong Ji:
Coarse-to-Fine Vision Transformer. CoRR abs/2203.03821 (2022) - [i28]Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji:
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks. CoRR abs/2203.03844 (2022) - [i27]Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. CoRR abs/2203.10812 (2022) - [i26]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CoRR abs/2203.12217 (2022) - [i25]Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Chunhua Shen:
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining. CoRR abs/2204.14095 (2022) - [i24]Yimin Xu, Mingbao Lin, Hong Yang, Ke Li, Yunhang Shen, Fei Chao, Rongrong Ji:
Shadow-Aware Dynamic Convolution for Shadow Removal. CoRR abs/2205.04908 (2022) - [i23]Mingbao Lin, Mengzhao Chen, Yuxin Zhang, Ke Li, Yunhang Shen, Chunhua Shen, Rongrong Ji:
Super Vision Transformer. CoRR abs/2205.11397 (2022) - [i22]Nan Wang, Shaohui Lin, Xiaoxiao Li, Ke Li, Yunhang Shen, Yue Gao, Lizhuang Ma:
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet. CoRR abs/2206.00902 (2022) - [i21]Yuxin Zhang, Mingbao Lin, Zhihang Lin, Yiting Luo, Ke Li, Fei Chao, Yongjian Wu, Rongrong Ji:
Learning Best Combination for Efficient N: M Sparsity. CoRR abs/2206.06662 (2022) - [i20]Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen:
Efficient Decoder-free Object Detection with Transformers. CoRR abs/2206.06829 (2022) - [i19]Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen:
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. CoRR abs/2206.11134 (2022) - [i18]Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji:
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. CoRR abs/2208.13039 (2022) - 2021
- [c10]Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun:
One for More: Selecting Generalizable Samples for Generalizable ReID Model. AAAI 2021: 3324-3332 - [c9]Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. AAAI 2021: 10129-10137 - [c8]Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun:
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning. CVPR 2021: 11804-11813 - [c7]Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
Architecture Disentanglement for Deep Neural Networks. ICCV 2021: 652-661 - [i17]Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang, Xing Sun:
On The Consistency Training for Open-Set Semi-Supervised Learning. CoRR abs/2101.08237 (2021) - [i16]Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun:
On Evolving Attention Towards Domain Adaptation. CoRR abs/2103.13561 (2021) - [i15]Yuting Gao, Jia-Xin Zhuang, Ke Li, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Xing Sun:
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning. CoRR abs/2104.09124 (2021) - [i14]Jie Hu, Liujuan Cao, Yao Lu, Shengchuan Zhang, Yan Wang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji:
ISTR: End-to-End Instance Segmentation with Transformers. CoRR abs/2105.00637 (2021) - [i13]Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun:
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer. CoRR abs/2108.01390 (2021) - [i12]Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Feiyue Huang, Rongrong Ji:
Fine-grained Data Distribution Alignment for Post-Training Quantization. CoRR abs/2109.04186 (2021) - [i11]Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, Xing Sun:
RMNet: Equivalently Removing Residual Connection from Networks. CoRR abs/2111.00687 (2021) - [i10]Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun:
Reciprocal Normalization for Domain Adaptation. CoRR abs/2112.10474 (2021) - 2020
- [j2]Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 42(10): 2410-2422 (2020) - [c6]Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification. AAAI 2020: 12597-12604 - [c5]Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CVPR 2020: 6598-6606 - [c4]Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun:
Pruning Filter in Filter. NeurIPS 2020 - [i9]Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Guangming Lu:
Filter Grafting for Deep Neural Networks. CoRR abs/2001.05868 (2020) - [i8]Jie Hu, Rongrong Ji, Qixiang Ye, Tong Tong, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao:
Architecture Disentanglement for Deep Neural Networks. CoRR abs/2003.13268 (2020) - [i7]Hao Cheng, Fanxu Meng, Ke Li, Huixiang Luo, Guangming Lu, Xiaowei Guo, Feiyue Huang, Xing Sun:
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation. CoRR abs/2004.12311 (2020) - [i6]Jinpeng Wang, Yuting Gao, Ke Li, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. CoRR abs/2009.05757 (2020) - [i5]Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Xing Sun:
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning. CoRR abs/2009.05769 (2020) - [i4]Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu, Xing Sun:
Pruning Filter in Filter. CoRR abs/2009.14410 (2020) - [i3]Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun:
One for More: Selecting Generalizable Samples for Generalizable ReID Model. CoRR abs/2012.05475 (2020)
2010 – 2019
- 2019
- [c3]Yongwei Gao, Bilei Zhu, Wei Li, Ke Li, Yongjian Wu, Feiyue Huang:
Vocal Melody Extraction via DNN-based Pitch Estimation and Salience-based Pitch Refinement. ICASSP 2019: 1000-1004 - [i2]Rongrong Ji, Ke Li, Yan Wang, Xiaoshuai Sun, Feng Guo, Xiaowei Guo, Yongjian Wu, Feiyue Huang, Jiebo Luo:
Semi-Supervised Adversarial Monocular Depth Estimation. CoRR abs/1908.02126 (2019) - [i1]Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li:
Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification. CoRR abs/1912.01349 (2019) - 2017
- [j1]Yong Zhang, Weiming Dong, Chongyang Ma, Xing Mei, Ke Li, Feiyue Huang, Bao-Gang Hu, Oliver Deussen:
Data-Driven Synthesis of Cartoon Faces Using Different Styles. IEEE Trans. Image Process. 26(1): 464-478 (2017) - [c2]Bilei Zhu, Fuzhang Wu, Ke Li, Yongjian Wu, Feiyue Huang, Yunsheng Wu:
Fusing transcription results from polyphonic and monophonic audio for singing melody transcription in polyphonic music. ICASSP 2017: 296-300 - 2014
- [c1]Yong Zhang, Weiming Dong, Oliver Deussen, Feiyue Huang, Ke Li, Bao-Gang Hu:
Data-driven face cartoon stylization. SIGGRAPH ASIA Technical Briefs 2014: 14:1-14:4
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2024-10-31 21:06 CET by the dblp team
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