Han, Jungong

RepVGG: Making VGG-style ConvNets Great Again

Ding, X., Zhang, X., Ma, N., Han, J., Ding, G., & Sun, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 2,907

Rep ViT: Revisiting Mobile CNN From ViT Perspective

Wang, A., Chen, H., Lin, Z., Han, J., & Ding, G. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 752

Gabor convolutional networks

Luan, S., Chen, C., Zhang, B., Han, J., & Liu, J. (2018) · IEEE Transactions on Image Processing

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 428

RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

Zhang, Q., Huang, N., Yao, L., Zhang, D., Shan, C., & Han, J. (2020) · IEEE Transactions on Image Processing

Visual Attention and Saliency DetectionAdvanced Image Fusion Techniques

Cited by 247

ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

Zhang, Q., Zhao, S., Luo, Y., Zhang, D., Huang, N., & Han, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image Fusion Techniques

Cited by 225

Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

Wu, G., Han, J., Guo, Y., Liu, L., Ding, G., Ni, Q., & Shao, L. (2019) · IEEE Transactions on Image Processing

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 148

Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval

Guo, Y., Ding, G., Liu, L., Han, J., & Shao, L. (2017) · IEEE Transactions on Image Processing

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 108

Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment

Han, J., Pauwels, E. J., de Zeeuw, P. M., & de With, P. H. N. (2012) · IEEE Transactions on Consumer Electronics

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 104

Densely nested top-down flows for salient object detection

Fang, C., Tian, H., Zhang, D., Zhang, Q., Han, J., & Han, J. (2022) · Science China Information Sciences

Visual Attention and Saliency DetectionAdvanced Neural Network Applications

Cited by 98

Approximated Oracle Filter Pruning for Destructive CNN Width Optimization

Ding, X., Ding, G., Guo, Y., Han, J., & Yan, C. (2019) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 96

Deep Fisher discriminant learning for mobile hand gesture recognition

Li, C., Xie, C., Zhang, B., Chen, C., & Han, J. (2018) · Pattern Recognition

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 72

YOLOE: Real-time seeing anything

Wang, A., Liu, L., Chen, H., Lin, Z., Han, J., & Ding, G. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 65

Real-Time Scalable Visual Tracking via Quadrangle Kernelized Correlation Filters

Ding, G., Chen, W., Zhao, S., Han, J., & Liu, Q. (2018) · IEEE Transactions on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 54