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Jianyuan Guo
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2020 – today
- 2024
- [j6]Xuan Sun
, Jianyuan Guo, Yong Qin
A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. Entropy 26(5): 388 (2024) - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]Zhiwei Hao
PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation. ACM Multimedia 2024: 1943-1951 - [i36]Jianyuan Guo
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR abs/2402.03749 (2024) - [i35]Jianyuan Guo
Data-efficient Large Vision Models through Sequential Autoregression. CoRR abs/2402.04841 (2024) - [i34]Yehui Tang, Yunhe Wang, Jianyuan Guo
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i33]Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR abs/2402.17133 (2024) - [i32]Ding Jia, Jianyuan Guo
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR abs/2406.01210 (2024) - [i31]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) - [i30]Kai Han, Jianyuan Guo, Yehui Tang, Wei He, Enhua Wu, Yunhe Wang:
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs. CoRR abs/2410.10441 (2024) - [i29]Zhiwei Hao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Yonggang Wen:
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning. CoRR abs/2410.17779 (2024) - 2023
- [j5]Kai Han
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 87-110 (2023) - [c26]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR 2023: 2122-2131 - [c25]Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo:
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. ICLR 2023 - [c24]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023 - [c23]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 - [c22]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 - [c21]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 - [i28]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR abs/2303.05251 (2023) - [i27]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - [i26]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) - [i25]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) - [i24]Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR abs/2309.11331 (2023) - [i23]Zhiwei Hao, Jianyuan Guo
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR abs/2310.19444 (2023) - [i22]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
- [j4]Kai Han, Yunhe Wang
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130(4): 1050-1069 (2022) - [j3]Zhiwei Cao
Face detection for rail transit passengers based on single shot detector and active learning. Multim. Tools Appl. 81(29): 42433-42456 (2022) - [c20]Wenshuo Li, Hanting Chen, Jianyuan Guo
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR 2022: 773-783 - [c19]Jianyuan Guo
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR 2022: 816-826 - [c18]Yehui Tang, Kai Han, Jianyuan Guo
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR 2022: 10925-10934 - [c17]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c16]Jianyuan Guo
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR 2022: 12165-12175 - [c15]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS 2022 - [c14]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 - [c13]Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang:
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS 2022 - [c12]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [i21]Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR abs/2201.00978 (2022) - [i20]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) - [i19]Wenshuo Li, Hanting Chen, Jianyuan Guo
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR abs/2203.14679 (2022) - [i18]Kai Han, Yunhe Wang, Jianyuan Guo
Vision GNN: An Image is Worth Graph of Nodes. CoRR abs/2206.00272 (2022) - [i17]Han Wu
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. CoRR abs/2209.01205 (2022) - [i16]Yehui Tang, Kai Han, Jianyuan Guo
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR abs/2211.12905 (2022) - [i15]Jianyuan Guo
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR abs/2212.06593 (2022) - 2021
- [j2]Yuhui Yuan
OCNet: Object Context for Semantic Segmentation. Int. J. Comput. Vis. 129(8): 2375-2398 (2021) - [c11]Jianyuan Guo
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c10]Jianyuan Guo
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR 2021: 2653-2662 - [c9]Zhaohui Yang, Yunhe Wang, Xinghao Chen
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR 2021: 10896-10906 - [c8]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. NeurIPS 2021: 15908-15919 - [i14]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. CoRR abs/2103.00112 (2021) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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
- [c7]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo
GhostNet: More Features From Cheap Operations. CVPR 2020: 1577-1586 - [c6]Jianyuan Guo
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR 2020: 11402-11411 - [i7]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) - [i6]Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR abs/2005.14446 (2020) - [i5]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
- [j1]Jianyuan Guo
Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM. IEEE Access 7: 42946-42955 (2019) - [c5]Jianyuan Guo
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. ICCV 2019: 3641-3650 - [i4]Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu:
Attribute-Aware Attention Model for Fine-grained Representation Learning. CoRR abs/1901.00392 (2019) - [i3]Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang:
Interlaced Sparse Self-Attention for Semantic Segmentation. CoRR abs/1907.12273 (2019) - [i2]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) - [i1]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. CoRR abs/1911.11907 (2019) - 2018
- [c4]Yuhui Yuan, Kuiyuan Yang, Jianyuan Guo, Chao Zhang, Jingdong Wang:
Feature Incay for Representation Regularization. ICLR (Workshop) 2018 - [c3]Kai Han
Attribute-Aware Attention Model for Fine-grained Representation Learning. ACM Multimedia 2018: 2040-2048 - 2017
- [c2]Jianyuan Guo
Joint Supervision for Discriminative Feature Learning in Convolutional Neural Networks. CCCV (2) 2017: 509-520 - 2013
- [c1]Jianyuan Guo, Limin Jia, Yong Qin, Bo Wang:
Trip planning considering Last Trains Running. ITSC 2013: 2132-2137
Coauthor Index
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last updated on 2024-11-28 21:26 CET by the dblp team
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