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2020 – today
- 2025
[j16]Chenchu Xu
, Jiangnan Wu, Dong Zhang, Longfei Han, Dingwen Zhang, Junwei Han:
Hierarchical candidate recursive network for highlight restoration in endoscopic videos. Expert Syst. Appl. 267: 125820 (2025)- [j15]Jieru Yao, Xueran Li, Qiang Xie, Longfei Han, Yiwen Jia, Nian Liu, Dingwen Zhang, Junwei Han:
LLaVA-Endo: a large language-and-vision assistant for gastrointestinal endoscopy. Frontiers Comput. Sci. 19(4): 194331 (2025) - 2024
- [j14]Guangming Feng, Longfei Han, Yiwen Jia, Peiliang Huang:
Single Image Defocus Deblurring Based on Structural Information Enhancement. IEEE Access 12: 153471-153480 (2024) - [j13]Wenshuai Song, Mengwei Yan, Xinze Li, Longfei Han:
Bidirectional Decoupled Distillation for Heterogeneous Federated Learning. Entropy 26(9): 762 (2024) - [j12]Peiliang Huang, Dingwen Zhang, De Cheng, Longfei Han, Pengfei Zhu, Junwei Han:
M-RRFS: A Memory-Based Robust Region Feature Synthesizer for Zero-Shot Object Detection. Int. J. Comput. Vis. 132(10): 4651-4672 (2024) - [j11]Jieru Yao, Longfei Han, Kaihui Yang, Guangyu Guo, Nian Liu, Xiankai Huang, Zhaohui Zheng, Dingwen Zhang, Junwei Han:
Contextual Dependency Vision Transformer for spectrogram-based multivariate time series analysis. Neurocomputing 572: 127215 (2024) - [j10]Jieru Yao, Longfei Han, Guangyu Guo, Zhaohui Zheng, Runmin Cong, Xiankai Huang, Jin Ding, Kaihui Yang, Dingwen Zhang, Junwei Han:
Position-based anchor optimization for point supervised dense nuclei detection. Neural Networks 171: 159-170 (2024) - [j9]Guangyu Guo, Dingwen Zhang, Longfei Han, Nian Liu, Ming-Ming Cheng, Junwei Han:
Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9536-9550 (2024) - [j8]Longfei Han, Jing Liu-Zeng, Wenqian Yao, Wenxin Wang, Yanxiu Shao, Xiaoli Liu, Xianyang Zeng, Yunpeng Gao, Hongwei Tu:
Discontinuous Surface Ruptures and Slip Distributions in the Epicentral Region of the 2021 Mw7.4 Maduo Earthquake, China. Remote. Sens. 16(7): 1250 (2024) - [c11]Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han, Juan Wang, Bing Li, Yuxuan Guo:
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing. AAAI 2024: 5025-5033 - [c10]Longfei Han, Qiuyu Xu, Klaus Kefferpütz, Ying Lu, Gordon Elger, Jürgen Beyerer:
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis. IV 2024: 1651-1657 - [c9]Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han:
ASPS: Augmented Segment Anything Model for Polyp Segmentation. MICCAI (9) 2024: 118-128 - [i6]Longfei Han, Qiuyu Xu, Klaus Kefferpütz, Ying Lu, Gordon Elger, Jürgen Beyerer:
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis. CoRR abs/2404.01166 (2024) - [i5]Huiqian Li, Dingwen Zhang, Jieru Yao, Longfei Han, Zhongyu Li, Junwei Han:
ASPS: Augmented Segment Anything Model for Polyp Segmentation. CoRR abs/2407.00718 (2024) - [i4]Longfei Han, Qiuyu Xu, Klaus Kefferpütz, Gordon Elger, Jürgen Beyerer:
Applying Extended Object Tracking for Self-Localization of Roadside Radar Sensors. CoRR abs/2407.03084 (2024) - [i3]Xianmin Chen, Peiliang Huang, Xiaoxu Feng, Dingwen Zhang, Longfei Han, Junwei Han:
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image Enhancement. CoRR abs/2409.07040 (2024) - 2023
- [j7]Wenxin Wang, Jing Liu-Zeng, Yanxiu Shao, Zijun Wang, Longfei Han, Xuwen Shen, Kexin Qin, Yunpeng Gao, Wenqian Yao, Guiming Hu, Xianyang Zeng, Xiaoli Liu, Wei Wang, Fengzhen Cui, Zhijun Liu, Jinyang Li, Hongwei Tu:
Mapping of Soil Liquefaction Associated with the 2021 Mw 7.4 Maduo (Madoi) Earthquake Based on the UAV Photogrammetry Technology. Remote. Sens. 15(4): 1032 (2023) - [j6]Chenchu Xu, Yifei Wang, Dong Zhang, Longfei Han, Yanping Zhang, Jie Chen, Shuo Li:
BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. IEEE J. Biomed. Health Informatics 27(1): 87-96 (2023) - [j5]Guangyu Guo, Longfei Han, Le Wang, Dingwen Zhang, Junwei Han:
Semantic-aware knowledge distillation with parameter-free feature uniformization. Vis. Intell. 1(1) (2023) - [c8]Haina Qin, Longfei Han, Weihua Xiong, Juan Wang, Wentao Ma, Bing Li, Weiming Hu:
Learning to Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization. CVPR 2023: 22314-22323 - [c7]Longfei Han, Klaus Kefferpütz, Gordon Elger, Jürgen Beyerer:
FlexSense: Flexible Infrastructure Sensors for Traffic Perception. ITSC 2023: 3810-3816 - [c6]Xinfeng Dong, Longfei Han, Dingwen Zhang, Li Liu, Junwei Han, Huaxiang Zhang:
Giving Text More Imagination Space for Image-text Matching. ACM Multimedia 2023: 6359-6368 - [c5]Ge Huang, Jieru Yao, Peiliang Huang, Longfei Han:
A Mutual Enhancement Framework for Specular Highlight Detection and Removal. PRCV (11) 2023: 457-468 - 2022
- [c4]Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu:
Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines. ECCV (19) 2022: 271-287 - [c3]Yingzi Fan, Longfei Han, Yue Zhang, Lechao Cheng, Chen Xia, Di Hu:
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction. HCMA@MM 2022: 15-23 - [i2]Yingzi Fan, Longfei Han, Yue Zhang, Lechao Cheng, Chen Xia, Di Hu:
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction. CoRR abs/2208.05220 (2022) - 2021
- [i1]Guangyu Guo, Longfei Han, Junwei Han, Dingwen Zhang:
Pixel Distillation: A New Knowledge Distillation Scheme for Low-Resolution Image Recognition. CoRR abs/2112.09532 (2021) - 2020
- [j4]Yaxian Hu, Senlin Luo, Longfei Han, Limin Pan, Tiemei Zhang:
Deep supervised learning with mixture of neural networks. Artif. Intell. Medicine 102: 101764 (2020)
2010 – 2019
- 2017
- [j3]Longfei Han, Senlin Luo, Huaiqing Wang, Limin Pan, Xincheng Ma, Tiemei Zhang:
An Intelligible Risk Stratification Model Based on Pairwise and Size Constrained Kmeans. IEEE J. Biomed. Health Informatics 21(5): 1288-1296 (2017) - [c2]Dong Huang, Longfei Han, Fernando De la Torre:
Soft-Margin Mixture of Regressions. CVPR 2017: 4058-4066 - [c1]Longfei Han, Dingwen Zhang, Dong Huang, Xiaojun Chang, Jun Ren, Senlin Luo, Junwei Han:
Self-paced Mixture of Regressions. IJCAI 2017: 1816-1822 - 2015
- [j2]Longfei Han, Senlin Luo, Jianmin Yu, Limin Pan, Songjing Chen:
Rule Extraction From Support Vector Machines Using Ensemble Learning Approach: An Application for Diagnosis of Diabetes. IEEE J. Biomed. Health Informatics 19(2): 728-734 (2015) - 2014
- [j1]Senlin Luo, Songjing Chen, Limin Pan, Tiemei Zhang, Longfei Han, Yue Wang, Qamas Gul Khan Safi:
Exploring the effects of intervention for those at high risk of developing type 2 diabetes using a computer simulation. Comput. Biol. Medicine 53: 105-114 (2014)
Coauthor Index
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