Mingli Ding

According to our database, Mingli Ding authored at least 52 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Non Co-occurrence Incremental Object Detection with Unlabeled In-the-Wild Data.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Int. J. Comput. Vis., November, 2024

Vital information is only worth one thumbnail: Towards efficient human pose estimation.

Zian Zhang, Yongqiang Zhang, Yin Zhang, Rui Tian, Mingli Ding

Pattern Recognit., March, 2024

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection.

Yongqiang Zhang, Rui Tian, Yin Zhang, Zian Zhang, Yancheng Bai, Mingli Ding, Wangmeng Zuo

Appl. Intell., March, 2024

Geo-ConvGRU: Geographically Masked Convolutional Gated Recurrent Unit for Bird-Eye View Segmentation.

Guanglei Yang, Yongqiang Zhang, Wanlong Li, Yu Tang, Weize Shang, Feng Wen, Hongbo Zhang, Mingli Ding

CoRR, 2024

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection.

Yin Zhang, Yongqiang Zhang, Zian Zhang, Man Zhang, Rui Tian, Mingli Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An End-to-End Framework for Joint Denoising and Classification of Hyperspectral Images.

Xian Li, Mingli Ding, Yanfeng Gu, Aleksandra Pizurica

IEEE Trans. Neural Networks Learn. Syst., July, 2023

Uncertainty-Aware Graph-Guided Weakly Supervised Object Detection.

Yueyi Zhu, Yongqiang Zhang, Mingli Ding, Wangmeng Zuo

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Class-incremental object detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Yancheng Bai

Pattern Recognit., July, 2023

Self-training transformer for source-free domain adaptation.

Guanglei Yang, Zhun Zhong, Mingli Ding, Nicu Sebe, Elisa Ricci

Appl. Intell., July, 2023

ThumbDet: One thumbnail image is enough for object detection.

Yongqiang Zhang, Yin Zhang, Rui Tian, Zian Zhang, Yancheng Bai, Wangmeng Zuo, Mingli Ding

Pattern Recognit., June, 2023

Continual Attentive Fusion for Incremental Learning in Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Hao Tang, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Multim., 2023

Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation.

Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spectral Feature Fusion Networks With Dual Attention for Hyperspectral Image Classification.

Xian Li, Mingli Ding, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2022

Fully Group Convolutional Neural Networks for Robust Spectral-Spatial Feature Learning.

Xian Li, Mingli Ding, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2022

Open World DETR: Transformer based Open World Object Detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

CoRR, 2022

Bi-directional class-wise adversaries for unsupervised domain adaptation.

Guanglei Yang, Mingli Ding, Yongqiang Zhang

Appl. Intell., 2022

One-stage object detection knowledge distillation via adversarial learning.

Na Dong, Yongqiang Zhang, Mingli Ding, Shibiao Xu, Yancheng Bai

Appl. Intell., 2022

Local Matrix Stack Graph Convolutional Networks for Classification.

Jian Kong, Xuehan Zhong, Mingli Ding

Proceedings of the 9th International Conference on Dependable Systems and Their Applications, 2022

2021

KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Shibiao Xu, Bernard Ghanem

IEEE Trans. Neural Networks Learn. Syst., 2021

GMSRI: A Texture-Based Martian Surface Rock Image Dataset.

Cong Wang, Zian Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding

Sensors, 2021

Global and Local Alignment Networks for Unpaired Image-to-Image Translation.

Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci

CoRR, 2021

Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation.

Guanglei Yang, Zhun Zhong, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci

CoRR, 2021

Transformer-Based Source-Free Domain Adaptation.

Guanglei Yang, Hao Tang, Zhun Zhong, Mingli Ding, Ling Shao, Nicu Sebe, Elisa Ricci

CoRR, 2021

Transformers Solve the Limited Receptive Field for Monocular Depth Prediction.

Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci

CoRR, 2021

Variational Structured Attention Networks for Deep Visual Representation Learning.

Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci

CoRR, 2021

Mars Image Super-Resolution Based on Generative Adversarial Network.

Cong Wang, Yin Zhang, Yongqiang Zhang, Rui Tian, Mingli Ding

IEEE Access, 2021

Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection.

Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction.

Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Feature Fusion via Two-Stream Convolutional Neural Network for Hyperspectral Image Classification.

Xian Li, Mingli Ding, Aleksandra Pizurica

IEEE Trans. Geosci. Remote. Sens., 2020

Research on the tenacity survivability of wireless sensor networks.

Jintao Yu, Zhen Yu, Mingli Ding, Wei Ye

J. Ambient Intell. Humaniz. Comput., 2020

Multi-task Generative Adversarial Network for Detecting Small Objects in the Wild.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Bernard Ghanem

Int. J. Comput. Vis., 2020

Bi-Directional Generation for Unsupervised Domain Adaptation.

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning a strong detector for action localization in videos.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Dandan Liu, Bernard Ghanem

Pattern Recognit. Lett., 2019

Detecting small faces in the wild based on generative adversarial network and contextual information.

Yongqiang Zhang, Mingli Ding, Yancheng Bai, Bernard Ghanem

Pattern Recognit., 2019

Corrigendum to 'Weakly-supervised Object Detection via Mining Pseudo Ground Truth Bounding-boxes' [Pattern Recognition 84 (2018) 68-81].

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2019

Group Convolutional Neural Networks for Hyperspectral Image Classification.

Xian Li, Mingli Ding, Aleksandra Pizurica

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Weakly-supervised object detection via mining pseudo ground truth bounding-boxes.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Pattern Recognit., 2018

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2018, 2018

W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection.

Yongqiang Zhang, Yancheng Bai, Mingli Ding, Yongqiang Li, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Finding Tiny Faces in the Wild With Generative Adversarial Network.

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Reading recognition of pointer meter based on pattern recognition and dynamic three-points on a line.

Yongqiang Zhang, Mingli Ding, Wuyifang Fu, Yongqiang Li

Proceedings of the Ninth International Conference on Machine Vision, 2016

2013

Navigation algorithm for WSN mobile node on MH particle filtering improvement.

Mingli Ding, Dongmei Yang, Lili Zhuang, Xiaobing Li

Int. J. Sens. Networks, 2013

2011

Research on Static Decoupling Method of Non-Gyro Micro Inertial Measurement Unit.

Mingli Ding, Dongmei Yang, Jindong Zhao, Lili Zhuang

Proceedings of the Computer and Computing Technologies in Agriculture V, 2011

2010

Localization and tracking algorithm for mobile robot based on wireless sensor network.

Zhen Liu, Mingli Ding, Qi Wang

Kybernetes, 2010

2007

Blind Source Separation in Post-nonlinear Mixtures Using Natural Gradient Descent and Particle Swarm Optimization Algorithm.

Kai Song, Mingli Ding, Qi Wang, Wenhui Liu

Proceedings of the Advances in Neural Networks, 2007

A New Method for Accelerometer Dynamic Compensation Based on CMAC.

Mingli Ding, Qingdong Zhou, Kai Song

Proceedings of the Advances in Neural Networks, 2007

2006

Approach to Nonlinear Blind Source Separation Based on Niche Genetic Algorithm.

Kai Song, Qi Wang, Mingli Ding

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

The Application of Self-adaptive Kalman filter in NGIMU/GPS Integrated Navigation System.

Mingli Ding, Qingdong Zhou, Qi Wang

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm.

Mingli Ding, Dongxue Dai, Qi Wang

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

An Integrated Navigation System of NGIMU/ GPS Using a Fuzzy Logic Adaptive Kalman Filter.

Mingli Ding, Qi Wang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005