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Kai Han 0002
Person information
- affiliation: Huawei Technologies, Noah's Ark Lab
- affiliation (former): Peking University, MOE Key Laboratory of Machine Perception / Cooperative Medianet Innovation Center, Beijing, China
Other persons with the same name
- Kai Han — disambiguation page
- Kai Han 0001
— University of Hong Kong, HK (and 4 more)
- Kai Han 0003
- Kai Han 0004 — Virginia Technology, ECE Department, Blacksburg, VA, USA
- Kai Han 0005
- Kai Han 0006
- Kai Han 0007
- Kai Han 0008
- Kai Han 0009 — North China University of Technology, School of Computer Science and Technology, Beijing, China
- Kai Han 0010 — Deepwise AI Lab, Beijing, China
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2020 – today
- 2024
- [j6]Keyu Li
Local Means Binary Networks for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6746-6756 (2024) - [c56]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for Scene Text Recognition. CVPR 2024: 15619-15629 - [c55]Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu:
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. CVPR 2024: 15751-15761 - [c54]Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. ECCV (16) 2024: 76-94 - [c53]Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu:
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) 2024: 109-125 - [c52]Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang:
A Robust Audio Deepfake Detection System via Multi-View Feature. ICASSP 2024: 13131-13135 - [c51]Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu:
Data-efficient Large Vision Models through Sequential Autoregression. ICML 2024 - [c50]Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen:
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. ICML 2024 - [c49]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. ICML 2024 - [c48]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024 - [i68]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. CoRR abs/2401.00028 (2024) - [i67]Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. CoRR abs/2402.02791 (2024) - [i66]Jianyuan Guo
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR abs/2402.03749 (2024) - [i65]Jianyuan Guo
Data-efficient Large Vision Models through Sequential Autoregression. CoRR abs/2402.04841 (2024) - [i64]Yehui Tang, Yunhe Wang, Jianyuan Guo
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i63]Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR abs/2402.17133 (2024) - [i62]Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang:
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. CoRR abs/2403.00818 (2024) - [i61]Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang:
A robust audio deepfake detection system via multi-view feature. CoRR abs/2403.01960 (2024) - [i60]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i59]Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang:
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR abs/2404.18911 (2024) - [i58]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR abs/2405.05615 (2024) - [i57]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR abs/2405.07542 (2024) - [i56]Ding Jia, Jianyuan Guo
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR abs/2406.01210 (2024) - [i55]Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning. CoRR abs/2408.06798 (2024) - 2023
- [j5]Kai Han
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023) - [j4]Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao:
Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms. Trans. Mach. Learn. Res. 2023 (2023) - [c47]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR 2023: 2122-2131 - [c46]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [c45]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV 2023: 821-831 - [c44]Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao:
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. ICCV 2023: 14715-14725 - [c43]Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han:
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH 2023: 226-230 - [c42]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS 2023 - [c41]Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu:
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS 2023 - [c40]Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang:
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. NeurIPS 2023 - [c39]Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han:
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS 2023 - [i54]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR abs/2303.05251 (2023) - [i53]Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao:
Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. CoRR abs/2303.11579 (2023) - [i52]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR abs/2305.15781 (2023) - [i51]Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang:
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? CoRR abs/2306.00693 (2023) - [i50]Kai Han, Yunhe Wang, Jianyuan Guo
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR abs/2306.14525 (2023) - [i49]Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang
Category Feature Transformer for Semantic Segmentation. CoRR abs/2308.05581 (2023) - [i48]Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin:
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR abs/2308.12894 (2023) - [i47]Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR abs/2309.11331 (2023) - [i46]Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang:
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. CoRR abs/2309.14183 (2023) - [i45]Zhiwei Hao, Jianyuan Guo
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR abs/2310.19444 (2023) - [i44]Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang:
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. CoRR abs/2312.00674 (2023) - [i43]Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR abs/2312.17276 (2023) - 2022
- [j3]Kai Han, Yunhe Wang
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130(4): 1050-1069 (2022) - [j2]Kai Han
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7731-7746 (2022) - [j1]Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022) - [c38]Jianyuan Guo
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR 2022: 816-826 - [c37]Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang:
Network Amplification with Efficient MACs Allocation. CVPR Workshops 2022: 1932-1941 - [c36]Yehui Tang, Kai Han, Jianyuan Guo
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR 2022: 10925-10934 - [c35]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c34]Jianyuan Guo
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR 2022: 12165-12175 - [c33]Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao:
Instance-Aware Dynamic Neural Network Quantization. CVPR 2022: 12424-12433 - [c32]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS 2022 - [c31]Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang:
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022 - [c30]Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang:
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS 2022 - [c29]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS 2022 - [c28]Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao:
Accelerating Sparse Convolution with Column Vector-Wise Sparsity. NeurIPS 2022 - [c27]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [i42]Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR abs/2201.00978 (2022) - [i41]Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR abs/2201.03297 (2022) - [i40]Kai Han, Yunhe Wang, Jianyuan Guo
Vision GNN: An Image is Worth Graph of Nodes. CoRR abs/2206.00272 (2022) - [i39]Yehui Tang, Kai Han, Jianyuan Guo
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR abs/2211.12905 (2022) - [i38]Jianyuan Guo
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR abs/2212.06593 (2022) - [i37]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. CoRR abs/2212.10200 (2022) - 2021
- [c26]Ying Nie, Kai Han, Yunhe Wang:
Multi-bit Adaptive Distillation for Binary Neural Networks. BMVC 2021: 61 - [c25]Jianyuan Guo
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c24]Jianyuan Guo
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR 2021: 2653-2662 - [c23]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c22]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [c21]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. NeurIPS 2021: 15908-15919 - [c20]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [c19]Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. NeurIPS 2021: 27319-27330 - [c18]Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao:
Post-Training Quantization for Vision Transformer. NeurIPS 2021: 28092-28103 - [c17]Kai Han, Jinho Lee, Lang Huang, Fangcheng Liu, Seiichi Uchida, Chao Zhang:
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking. ICSI (2) 2021: 391-406 - [i36]Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR abs/2101.08525 (2021) - [i35]Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao:
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR abs/2101.10015 (2021) - [i34]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. CoRR abs/2103.00112 (2021) - [i33]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR abs/2103.00841 (2021) - [i32]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CoRR abs/2103.14475 (2021) - [i31]Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang:
Visual Transformer Pruning. CoRR abs/2104.08500 (2021) - [i30]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CoRR abs/2106.02852 (2021) - [i29]Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. CoRR abs/2106.02898 (2021) - [i28]Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao:
Post-Training Quantization for Vision Transformer. CoRR abs/2106.14156 (2021) - [i27]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i26]Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao:
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR abs/2107.01378 (2021) - [i25]Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR abs/2107.06263 (2021) - [i24]Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. CoRR abs/2108.00177 (2021) - [i23]Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR abs/2108.13341 (2021) - [i22]Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR abs/2109.09310 (2021) - [i21]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang:
An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR abs/2111.12294 (2021) - 2020
- [c16]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo
GhostNet: More Features From Cheap Operations. CVPR 2020: 1577-1586 - [c15]Jianyuan Guo
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR 2020: 11402-11411 - [c14]Mingzhu Shen, Xianglong Liu
Balanced Binary Neural Networks with Gated Residual. ICASSP 2020: 4197-4201 - [c13]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. ICML 2020: 4017-4026 - [c12]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS 2020 - [c11]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS 2020 - [i20]Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian:
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR abs/2002.00555 (2020) - [i19]Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR abs/2003.11818 (2020) - [i18]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR abs/2009.08695 (2020) - [i17]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR abs/2010.04871 (2020) - [i16]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR abs/2010.14819 (2020) - [i15]Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR abs/2011.01507 (2020) - [i14]Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang:
Dynamic Feature Pyramid Networks for Object Detection. CoRR abs/2012.00779 (2020) - [i13]Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao:
A Survey on Visual Transformer. CoRR abs/2012.12556 (2020)
2010 – 2019
- 2019
- [c10]Mingjian Zhu, Kai Han, Chao Zhang, Jinlong Lin, Yunhe Wang:
Low-resolution Visual Recognition via Deep Feature Distillation. ICASSP 2019: 3762-3766 - [c9]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
Co-Evolutionary Compression for Unpaired Image Translation. ICCV 2019: 3234-3243 - [c8]Jianyuan Guo
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. ICCV 2019: 3641-3650 - [c7]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. ICCV Workshops 2019: 2041-2044 - [c6]Kai Han
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI 2019: 2456-2462 - [c5]Chuanjian Liu, Yunhe Wang, Kai Han
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI 2019: 3001-3007 - [c4]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. NeurIPS 2019: 2561-2570 - [i12]Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu:
Attribute-Aware Attention Model for Fine-grained Representation Learning. CoRR abs/1901.00392 (2019) - [i11]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. CoRR abs/1907.10804 (2019) - [i10]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR abs/1907.11837 (2019) - [i9]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR abs/1907.11840 (2019) - [i8]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. CoRR abs/1908.02023 (2019) - [i7]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. CoRR abs/1909.07378 (2019) - [i6]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. CoRR abs/1909.09757 (2019) - [i5]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019) - [i4]Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. CoRR abs/1910.01523 (2019) - [i3]Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han:
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. CoRR abs/1910.10111 (2019) - [i2]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. CoRR abs/1911.11907 (2019) - 2018
- [c3]Kai Han
Autoencoder Inspired Unsupervised Feature Selection. ICASSP 2018: 2941-2945 - [c2]Kai Han
Attribute-Aware Attention Model for Fine-grained Representation Learning. ACM Multimedia 2018: 2040-2048 - [c1]Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian:
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. NeurIPS 2018: 806-815 - 2017
- [i1]Kai Han, Chao Li, Xin Shi:
Autoencoder Feature Selector. CoRR abs/1710.08310 (2017)
Coauthor Index
[c55] [c54] [c51] [c50] [i66] [i65] [i64] [i63] [i56] [i55] [j5] [c47] [c42] [c41] [c39] [i54] [i52] [i50] [i47] [i45] [i43] [j3] [c38] [c36] [c35] [c34] [c32] [c31] [c30] [c27] [i42] [i41] [i40] [i39] [i38] [c25] [c24] [c21] [i34] [i32] [i30] [i26] [i25] [i23] [i21] [c16] [c15] [i19] [i13] [c8] [i12] [i3] [i2] [c2]
[j6] [c56] [c55] [c54] [c53] [c52] [c49] [c48] [i68] [i67] [i66] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i55] [j5] [j4] [c47] [c46] [c43] [c42] [c41] [c40] [c39] [i54] [i52] [i51] [i50] [i49] [i47] [i46] [i45] [i44] [i43] [j3] [j2] [j1] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i42] [i41] [i40] [i39] [i38] [i37] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [c16] [c15] [c13] [c12] [c11] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c10] [c9] [c7] [c6] [c5] [c4] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i2] [c3]
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last updated on 2024-11-15 20:34 CET by the dblp team
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