Jianyuan Guo

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 64

Top Topics

Layer Perceptron

Semantic Segmentation

Object Detectors

Top Venues

Int. J. Comput. Vis.

Publications

Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR (2024)
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Data-efficient Large Vision Models through Sequential Autoregression. CoRR (2024)
Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR (2024)
Xuan Sun, Jianyuan Guo, Yong Qin, Xuanchuan Zheng, Shifeng Xiong, Jie He, Qi Sun, Limin Jia
A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. Entropy 26 (5) (2024)
Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR (2024)
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
A Survey on Transformer Compression. CoRR (2024)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR (2023)
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 Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
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 (2023)
Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR (2023)
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)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. CoRR (2023)
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)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR (2023)
Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. ICLR (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR (2023)
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)
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. CoRR (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS (2023)
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, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR (2023)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR (2022)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR (2022)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CVPR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR (2022)
Zhiwei Cao, Yong Qin, Yongling Li, Zhengyu Xie, Jianyuan Guo, Limin Jia
Face detection for rail transit passengers based on single shot detector and active learning. Multim. Tools Appl. 81 (29) (2022)
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)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR (2022)
Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130 (4) (2022)
Han Wu, Jie Yin, Bala Rajaratnam, Jianyuan Guo
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion. CoRR (2022)
Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR (2022)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR (2022)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. CoRR (2021)
Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CoRR (2021)
Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
Distilling Object Detectors via Decoupled Features. CVPR (2021)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR (2021)
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 (2021)
Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR (2021)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CoRR (2021)
Yuhui Yuan, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang
OCNet: Object Context for Semantic Segmentation. Int. J. Comput. Vis. 129 (8) (2021)
Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang
Transformer in Transformer. NeurIPS (2021)
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 (2020)
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
GhostNet: More Features From Cheap Operations. CVPR (2020)
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 (2020)
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 (2020)
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. CVPR (2020)
Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
GhostNet: More Features from Cheap Operations. CoRR (2019)
Jianyuan Guo, Yuhui Yuan, Lang Huang, Chao Zhang, Jin-Ge Yao, Kai Han
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification. ICCV (2019)
Jianyuan Guo, Zhen Xie, Yong Qin, Limin Jia, Yaguan Wang
Short-Term Abnormal Passenger Flow Prediction Based on the Fusion of SVR and LSTM. IEEE Access 7 (2019)
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 (2019)
Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu
Attribute-Aware Attention Model for Fine-grained Representation Learning. CoRR (2019)
Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang
Interlaced Sparse Self-Attention for Semantic Segmentation. CoRR (2019)
Kai Han, Jianyuan Guo, Chao Zhang, Mingjian Zhu
Attribute-Aware Attention Model for Fine-grained Representation Learning. ACM Multimedia (2018)
Yuhui Yuan, Kuiyuan Yang, Jianyuan Guo, Chao Zhang, Jingdong Wang
Feature Incay for Representation Regularization. ICLR (Workshop) (2018)
Jianyuan Guo, Yuhui Yuan, Chao Zhang
Joint Supervision for Discriminative Feature Learning in Convolutional Neural Networks. CCCV (2) (2017)
Jianyuan Guo, Limin Jia, Yong Qin, Bo Wang
Trip planning considering Last Trains Running. ITSC (2013)