Mingli Ding

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Topics

Convolutional Neural Network

Weakly Supervised

Top Venues

Pattern Recognit.

Publications

Zian Zhang, Yongqiang Zhang, Yin Zhang, Rui Tian, Mingli Ding
Vital information is only worth one thumbnail: Towards efficient human pose estimation. Pattern Recognit. 147 (2024)
Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding
ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection. AAAI (2024)
Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo
R-CCF: region-aware continual contrastive fusion for weakly supervised object detection. Appl. Intell. 54 (6) (2024)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. ICCV (2023)
Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai
Class-incremental object detection. Pattern Recognit. 139 (2023)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. CoRR (2023)
Xian Li, Mingli Ding, Yanfeng Gu, Aleksandra Pizurica
An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding
ThumbDet: One thumbnail image is enough for object detection. Pattern Recognit. 138 (2023)
Yueyi Zhu, Yongqiang Zhang, Mingli Ding, Wangmeng Zuo
Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33 (7) (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. AAAI (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. IEEE Trans. Multim. 25 (2023)
Guanglei Yang, Zhun Zhong, Mingli Ding, Nicu Sebe, Elisa Ricci
Self-training transformer for source-free domain adaptation. Appl. Intell. 53 (13) (2023)
Xian Li, Mingli Ding, Aleksandra Pizurica
Spectral Feature Fusion Networks With Dual Attention for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR (2022)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. CoRR (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation. CoRR (2022)
Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai
One-stage object detection knowledge distillation via adversarial learning. Appl. Intell. 52 (4) (2022)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Open World DETR: Transformer based Open World Object Detection. CoRR (2022)
Guanglei Yang, Mingli Ding, Yongqiang Zhang
Bi-directional class-wise adversaries for unsupervised domain adaptation. Appl. Intell. 52 (4) (2022)
Jian Kong, Xuehan Zhong, Mingli Ding
Local Matrix Stack Graph Convolutional Networks for Classification. DSA (2022)
Xian Li, Mingli Ding, Aleksandra Pizurica
Fully Group Convolutional Neural Networks for Robust Spectral-Spatial Feature Learning. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Cong Wang, Yin Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding
Mars Image Super-Resolution Based on Generative Adversarial Network. IEEE Access 9 (2021)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. CoRR (2021)
Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci
Transformer-Based Source-Free Domain Adaptation. CoRR (2021)
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci
Transformers Solve the Limited Receptive Field for Monocular Depth Prediction. CoRR (2021)
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci
Variational Structured Attention Networks for Deep Visual Representation Learning. CoRR (2021)
Guanglei Yang, Zhun Zhong, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation. CoRR (2021)
Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR (2021)
Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. ICCV (2021)
Cong Wang, Zian Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding
GMSRI: A Texture-Based Martian Surface Rock Image Dataset. Sensors 21 (16) (2021)
Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. NeurIPS (2021)
Xian Li, Mingli Ding, Aleksandra Pizurica
Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58 (4) (2020)
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
Bi-Directional Generation for Unsupervised Domain Adaptation. CoRR (2020)
Jintao Yu, Zhen Yu, Mingli Ding, Wei Ye
Research on the tenacity survivability of wireless sensor networks. J. Ambient Intell. Humaniz. Comput. 11 (9) (2020)
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem
Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild. Int. J. Comput. Vis. 128 (6) (2020)
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
Bi-Directional Generation for Unsupervised Domain Adaptation. AAAI (2020)
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81]. Pattern Recognit. 90 (2019)
Xian Li, Mingli Ding, Aleksandra Pizurica
Group Convolutional Neural Networks for Hyperspectral Image Classification. ICIP (2019)
Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem
Learning a strong detector for action localization in videos. Pattern Recognit. Lett. 128 (2019)
Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem
Detecting small faces in the wild based on generative adversarial network and contextual information. Pattern Recognit. 94 (2019)
Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
Finding Tiny Faces in the Wild With Generative Adversarial Network. CVPR (2018)
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. CVPR (2018)
Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network. ECCV (13) (2018)
Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem
Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. Pattern Recognit. 84 (2018)
Yongqiang Zhang, Mingli Ding, Wuyifang Fu, Yongqiang Li
Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line. ICMV (2016)
Mingli Ding, Dongmei Yang, Lili Zhuang, Xiaobing Li
Navigation algorithm for WSN mobile node on MH particle filtering improvement. Int. J. Sens. Networks 14 (2) (2013)
Mingli Ding, Dongmei Yang, Jindong Zhao, Lili Zhuang
Research on Static Decoupling Method of Non-Gyro Micro Inertial Measurement Unit. CCTA (1) (2011)
Zhen Liu, Mingli Ding, Qi Wang
Localization and tracking algorithm for mobile robot based on wireless sensor network. Kybernetes 39 (6) (2010)
Mingli Ding, Qingdong Zhou, Kai Song
A New Method for Accelerometer Dynamic Compensation Based on CMAC. ISNN (1) (2007)
Kai Song, Mingli Ding, Qi Wang, Wenhui Liu
Blind Source Separation in Post-nonlinear Mixtures Using Natural Gradient Descent and Particle Swarm Optimization Algorithm. ISNN (3) (2007)
Mingli Ding, Dongxue Dai, Qi Wang
Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm. Australian Conference on Artificial Intelligence (2006)
Kai Song, Qi Wang, Mingli Ding
Approach to Nonlinear Blind Source Separation Based on Niche Genetic Algorithm. ISDA (1) (2006)
Mingli Ding, Qingdong Zhou, Qi Wang
The Application of Self-adaptive Kalman filter in NGIMU/GPS Integrated Navigation System. ISDA (2) (2006)
Mingli Ding, Qi Wang
An Integrated Navigation System of NGIMU/ GPS Using a Fuzzy Logic Adaptive Kalman Filter. FSKD (1) (2005)