Mingyuan Jiu

45 papers A* 2B 4Misc 4Journal 26Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection.
AAAI
Yali Huang, Jie Mei, Ziyi Wu, Yiming Yang, Hongru Zhao, Mingyuan Jiu, Hichem Sahbi
2025 — conf
BiDAFuse: Bimodal Differences-Aware Attentive Network for Infrared and Visible Image Fusion.
ICIG (3)
Keyu Sun, Mingyuan Jiu, Shupan Li, Hongru Zhao
2025 — conf
Instance Feature Caching for Cross-Domain Few-Shot Object Detection.
CVPR Workshops
Yali Huang, Jie Mei, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu
2025 J jnl
Multi-label Classification with Panoptic Context Aggregation Networks.
CoRR
Mingyuan Jiu, Hailong Zhu, Wenchuan Wei, Hichem Sahbi, Rongrong Ji, Mingliang Xu
2025 — conf
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.
CVPR Workshops
Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li
2025 J jnl
NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results.
CoRR
Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li
2025 J jnl
P3TFusion: Progressive Two-Stage Infrared and Visible Image Fusion Network Focused on Enhancing Target and Texture Information.
Digit. Signal Process.
Shupan Li, Yuan Zhang, Xiaoheng Jiang, Mingyuan Jiu, Yang Lu, Li Chen, Wei Guo, Yan Chen, Ming Dong, Mingliang Xu
2025 B conf
PD-YOLOv11s: An End-to-End Paper Surface Detection for Specific Visible Angle Defect.
IJCNN
Shupan Li, Hanlin Zhu, Xiangrong Zhong, Mingyuan Jiu, Wei Guo, Yan Chen, Ming Liang Xu
2025 J jnl
RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation.
Expert Syst. Appl.
Hongzhao Li, Siwei Liu, Hui Wang, Xiaoheng Jiang, Mingyuan Jiu, Li Chen, Yang Lu, Shupan Li, Mingliang Xu
2025 B conf
SE-D3FNet: A LiDAR-Camera Fusion Network with SE Attention and Dynamic 3D Focal Loss for 3D Object Detection.
ICPADS
Guowei Wu, Qian Li, Mingyuan Jiu, Shupan Li, Hongru Zhao, Mingliang Xu
2025 A* conf
Towards Robust Multimodal Domain Generalization via Modality-Domain Joint Adversarial Training.
ACM Multimedia
Hongzhao Li, Hualei Wan, Liangzhi Zhang, Mingyuan Jiu, Shupan Li, Mingliang Xu, Muhammad Haris Khan
2025 J jnl
rOS-Instrumentation: An observer of operating system transactions.
SoftwareX
Fengshan Shen, Mingyuan Jiu
2024 — conf
Deep Multi-order Context-Aware Kernel Network for Multi-label Classification.
ICPR (3)
Mingyuan Jiu, Hailong Zhu, Hichem Sahbi
2024 J jnl
Few-Shot Object Detection with Sparse Context Transformers.
CoRR
Jie Mei, Mingyuan Jiu, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu
2024 J jnl
Image Classification with Deep Reinforcement Active Learning.
CoRR
Mingyuan Jiu, Xuguang Song, Hichem Sahbi, Shupan Li, Yan Chen, Wei Guo, Lihua Guo, Mingliang Xu
2024 J jnl
Multi-label Classification using Deep Multi-order Context-aware Kernel Networks.
CoRR
Mingyuan Jiu, Hailong Zhu, Hichem Sahbi
2024 — conf
Sparse Context Transformer for Few-Shot Object Detection.
PRICAI (4)
Mingyuan Jiu, Jie Mei, Hichem Sahbi, Xiaoheng Jiang, Mingliang Xu
2022 J jnl
Alternative Design of DeepPDNet in the Context of Image Restoration.
IEEE Signal Process. Lett.
Mingyuan Jiu, Nelly Pustelnik
2022 J jnl
Alternative design of DeepPDNet in the context of image restoration.
CoRR
Mingyuan Jiu, Nelly Pustelnik
2022 J jnl
Context-aware deep kernel networks for image annotation.
Neurocomputing
Mingyuan Jiu, Hichem Sahbi
2021 J jnl
A Deep Primal-Dual Proximal Network for Image Restoration.
IEEE J. Sel. Top. Signal Process.
Mingyuan Jiu, Nelly Pustelnik
2021 Misc conf
DHCN: Deep Hierarchical Context Networks For Image Annotation.
ICASSP
Mingyuan Jiu, Hichem Sahbi
2020 J jnl
A deep primal-dual proximal network for image restoration.
CoRR
Mingyuan Jiu, Nelly Pustelnik
2020 J jnl
Detection of Conductive Particles in TFT-LCD Circuit Using Generative Adversarial Networks.
IEEE Access
Yuanyuan Wang, Ling Ma, Mingyuan Jiu, Huiqin Jiang
2020 B conf
End-to-End Deep Kernel Map Design for Image Annotation.
ICIP
Mingyuan Jiu, Hichem Sahbi
2020 J jnl
End-to-end training of deep kernel map networks for image classification.
CoRR
Mingyuan Jiu, Hichem Sahbi
2020 J jnl
Image Annotation based on Deep Hierarchical Context Networks.
CoRR
Mingyuan Jiu, Hichem Sahbi
2020 J jnl
Sparse Hierarchical Interaction Learning with Epigraphical Projection.
J. Signal Process. Syst.
Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Lin Qi, Philippe Ricoux
2019 J jnl
Deep Context-Aware Kernel Networks.
CoRR
Mingyuan Jiu, Hichem Sahbi
2019 J jnl
Deep representation design from deep kernel networks.
Pattern Recognit.
Mingyuan Jiu, Hichem Sahbi
2018 B conf
Deep Context Networks for Image Annotation.
ICPR
Mingyuan Jiu, Hichem Sahbi, Lin Qi
2018 J jnl
Learning Deep Context-Network Architectures for Image Annotation.
CoRR
Mingyuan Jiu, Hichem Sahbi
2018 J jnl
Learning Explicit Deep Representations from Deep Kernel Networks.
CoRR
Mingyuan Jiu, Hichem Sahbi
2018 — conf
Multiclass SVM with Hierarchical Interaction: Application to Face Classification.
MLSP
Mingyuan Jiu, Nelly Pustelnik, Lin Qi
2017 J jnl
Nonlinear Deep Kernel Learning for Image Annotation.
IEEE Trans. Image Process.
Mingyuan Jiu, Hichem Sahbi
2017 J jnl
Sparse hierarchical interaction learning with epigraphical projection.
CoRR
Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Philippe Ricoux
2016 Misc conf
Deep kernel map networks for image annotation.
ICASSP
Mingyuan Jiu, Hichem Sahbi
2016 Misc conf
Laplacian deep kernel learning for image annotation.
ICASSP
Mingyuan Jiu, Hichem Sahbi
2016 — conf
Multiclass SVM with graph path coding regularization for face classification.
MLSP
Mingyuan Jiu, Nelly Pustelnik, Mériam Chèbre, Stefan Janaqi, Philippe Ricoux
2015 Misc conf
Semi supervised deep kernel design for image annotation.
ICASSP
Mingyuan Jiu, Hichem Sahbi
2014 J jnl
Evaluation of video activity localizations integrating quality and quantity measurements.
Comput. Vis. Image Underst.
Christian Wolf, Eric Lombardi, Julien Mille, Oya Çeliktutan, Mingyuan Jiu, Emre Dogan, Gonen Eren, Moez Baccouche, Emmanuel Dellandréa, Charles-Edmond Bichot, Christophe Garcia, Bülent Sankur
2014 J jnl
Human body part estimation from depth images via spatially-constrained deep learning.
Pattern Recognit. Lett.
Mingyuan Jiu, Christian Wolf, Graham W. Taylor, Atilla Baskurt
2014 — —
Spatial information and end-to-end learning for visual recognition. (Informations spatiales et apprentissage bout-en-bout pour la reconnaissance visuelle).
Mingyuan Jiu
2013 — conf
Integrating Spatial Layout of Object Parts into Classification without Pairwise Terms - Application to Fast Body Parts Estimation from Depth Images.
VISAPP (1)
Mingyuan Jiu, Christian Wolf, Atilla Baskurt
2012 J jnl
Supervised Learning and Codebook Optimization for Bag-of-Words Models.
Cogn. Comput.
Mingyuan Jiu, Christian Wolf, Christophe Garcia, Atilla Baskurt