Kun Ding

According to our database, Kun Ding authored at least 48 papers between 2013 and 2026.

Collaborative distances:

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

2026

WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question Answering.

Yingjian Zhu, Xinming Wang, Kun Ding, Ying Wang, Bin Fan, Shiming Xiang

CoRR, April, 2026

SeaVIS: Sound-Enhanced Association for Online Audio-Visual Instance Segmentation.

Yingjian Zhu, Ying Wang, Yuyang Hong, Ruohao Guo, Kun Ding, Xin Gu, Bin Fan, Shiming Xiang

CoRR, March, 2026

CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering.

Yuyang Hong, Jiaqi Gu, Yujin Lou, Lubin Fan, Qi Yang, Ying Wang, Kun Ding, Yue Wu, Shiming Xiang, Jieping Ye

CoRR, February, 2026

DSFC-Net: A Dual-Encoder Spatial and Frequency Co-Awareness Network for Rural Road Extraction.

Zhengbo Zhang, Yihe Tian, Wanke Xia, Lin Chen, Yue Sun, Kun Ding, Ying Wang, Bing Xu, Shiming Xiang

CoRR, February, 2026

USVTrack: A Benchmark for Multi-Object Tracking in Complex Water Surface Scenes.

Bin Xue, Yuwei Cheng, Kun Ding, Chunhong Pan, Shiming Xiang

IEEE Trans. Circuits Syst. Video Technol., January, 2026

AtmosOceanNet: SST forecast method driven by atmospheric-oceanic multimodal data.

Qinxuan Wang, Jun Bai, Kun Ding, Ying Wang, Yineng Li, Shiming Xiang, Xiaoqing Chu

Pattern Recognit., 2026

Efficient redundancy reduction for open-vocabulary semantic segmentation.

Lin Chen, Qi Yang, Kun Ding, Zhihao Li, Gang Shen, Fei Li, Qiyuan Cao, Shiming Xiang

Neurocomputing, 2026

Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models.

Yuan Zhou, Yan Zhang, Jianlong Chang, Xin Gu, Ying Wang, Kun Ding, Guangwen Yang, Shiming Xiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow.

Yuan Zhou, Yan Zhang, Jianlong Chang, Xin Gu, Ying Wang, Kun Ding, Guangwen Yang, Shiming Xiang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM.

Lin Chen, Yingjian Zhu, Qi Yang, Xin Niu, Kun Ding, Shiming Xiang

CoRR, November, 2025

Taming Modality Entanglement in Continual Audio-Visual Segmentation.

Yuyang Hong, Qi Yang, Tao Zhang, Zili Wang, Zhaojin Fu, Kun Ding, Bin Fan, Shiming Xiang

CoRR, October, 2025

Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering.

Yuyang Hong, Jiaqi Gu, Qi Yang, Lubin Fan, Yue Wu, Ying Wang, Kun Ding, Shiming Xiang, Jieping Ye

CoRR, October, 2025

Instructed fine-tuning based on semantic consistency constraint for deep multi-view stereo.

Yan Zhang, Hongping Yan, Kun Ding, Tingting Cai, Yueyue Zhou

Appl. Intell., April, 2025

Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization.

Tao Zhang, Cheng Da, Kun Ding, Kun Jin, Yan Li, Tingting Gao, Di Zhang, Shiming Xiang, Chunhong Pan

CoRR, February, 2025

CLIP-MoA: Visual-Language Models With Mixture of Adapters for Multitask Remote Sensing Image Classification.

Zhongzheng Fu, Hongping Yan, Kun Ding

IEEE Trans. Geosci. Remote. Sens., 2025

EvoVLMA: Evolutionary Vision-Language Model Adaptation.

Kun Ding, Ying Wang, Shiming Xiang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Agent Reviewers: Domain-specific Multimodal Agents with Shared Memory for Paper Review.

Kai Lu, Shixiong Xu, Jinqiu Li, Kun Ding, Gaofeng Meng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger.

Qi Yang, Chenghao Zhang, Lubin Fan, Kun Ding, Jieping Ye, Shiming Xiang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation.

Tao Zhang, Jinyong Wen, Zhen Chen, Kun Ding, Shiming Xiang, Chunhong Pan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Few-Shot Image Classification of Crop Diseases Based on Vision-Language Models.

Yueyue Zhou, Hongping Yan, Kun Ding, Tingting Cai, Yan Zhang

Sensors, September, 2024

Multi-task prompt tuning with soft context sharing for vision-language models.

Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan

Neurocomputing, 2024

Compositional Kronecker Context Optimization for vision-language models.

Kun Ding, Xiaohui Li, Qiang Yu, Ying Wang, Haojian Zhang, Shiming Xiang

Neurocomputing, 2024

Deep convolutional neural network based on self-distillation for tool wear recognition.

Yi Pan, Ling Hao, Jianliang He, Kun Ding, Qiang Yu, Yulin Wang

Eng. Appl. Artif. Intell., 2024

Rethinking Comprehensive Benchmark for Chart Understanding: A Perspective from Scientific Literature.

Lingdong Shen, Qigqi, Kun Ding, Gaofeng Meng, Shiming Xiang

CoRR, 2024

Continuous Speculative Decoding for Autoregressive Image Generation.

Zili Wang, Robert Zhang, Kun Ding, Qi Yang, Fei Li, Shiming Xiang

CoRR, 2024

A Survey of Low-shot Vision-Language Model Adaptation via Representer Theorem.

Kun Ding, Ying Wang, Gaofeng Meng, Shiming Xiang

CoRR, 2024

Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation.

Kun Ding, Qiang Yu, Haojian Zhang, Gaofeng Meng, Shiming Xiang

CoRR, 2024

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection.

Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning.

Kun Ding, Haojian Zhang, Qiang Yu, Ying Wang, Shiming Xiang, Chunhong Pan

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

2023

PAD: Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images.

Tao Zhang, Kun Ding, Jinyong Wen, Yu Xiong, Zeyu Zhang, Shiming Xiang, Chunhong Pan

CoRR, 2023

SFMatting-800: A Multi-Scene Smoke and Fire Image Matting Dataset for Fine-Grained Fire Detection.

Shihui Ma, Kun Ding, Hongping Yan

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

2022

Train in Dense and Test in Sparse: A Method for Sparse Object Detection in Aerial Images.

Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan

IEEE Geosci. Remote. Sens. Lett., 2022

Prompt Tuning with Soft Context Sharing for Vision-Language Models.

Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan

CoRR, 2022

2020

PackDet: Packed Long-Head Object Detector.

Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep Hierarchical Encoder-Decoder Network for Image Captioning.

Xinyu Xiao, Lingfeng Wang, Kun Ding, Shiming Xiang, Chunhong Pan

IEEE Trans. Multim., 2019

Dense semantic embedding network for image captioning.

Xinyu Xiao, Lingfeng Wang, Kun Ding, Shiming Xiang, Chunhong Pan

Pattern Recognit., 2019

Nonlinear Asymmetric Multi-Valued Hashing.

Cheng Da, Gaofeng Meng, Shiming Xiang, Kun Ding, Shibiao Xu, Qing Yang, Chunhong Pan

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

In Defense of Locality-Sensitive Hashing.

Kun Ding, Chunlei Huo, Bin Fan, Shiming Xiang, Chunhong Pan

IEEE Trans. Neural Networks Learn. Syst., 2018

BundleNet: Learning with Noisy Label via Sample Correlations.

Chenghua Li, Chunjie Zhang, Kun Ding, Gang Li, Jian Cheng, Hanqing Lu

IEEE Access, 2018

2017

Cross-Modal Hashing via Rank-Order Preserving.

Kun Ding, Bin Fan, Chunlei Huo, Shiming Xiang, Chunhong Pan

IEEE Trans. Multim., 2017

AMVH: Asymmetric Multi-Valued hashing.

Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Efficient Multiple Feature Fusion With Hashing for Hyperspectral Imagery Classification: A Comparative Study.

Zisha Zhong, Bin Fan, Kun Ding, Haichang Li, Shiming Xiang, Chunhong Pan

IEEE Trans. Geosci. Remote. Sens., 2016

Learning Relationship for Very High Resolution Image Change Detection.

Chunlei Huo, Keming Chen, Kun Ding, Zhixin Zhou, Chunhong Pan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015

Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification.

Zisha Zhong, Bin Fan, Jiangyong Duan, LingFeng Wang, Kun Ding, Shiming Xiang, Chunhong Pan

IEEE Geosci. Remote. Sens. Lett., 2015

Multicluster Spatial-Spectral Unsupervised Feature Selection for Hyperspectral Image Classification.

Haichang Li, Shiming Xiang, Zisha Zhong, Kun Ding, Chunhong Pan

IEEE Geosci. Remote. Sens. Lett., 2015

Sparse Hierarchical Clustering for VHR Image Change Detection.

Kun Ding, Chunlei Huo, Yuan Xu, Zisha Zhong, Chunhong Pan

IEEE Geosci. Remote. Sens. Lett., 2015

kNN Hashing with Factorized Neighborhood Representation.

Kun Ding, Chunlei Huo, Bin Fan, Chunhong Pan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013

VHR image change detection based on discriminative dictionary learning.

Kun Ding, Chunlei Huo, Yuan Xu, Chunhong Pan

Proceedings of the IEEE International Conference on Acoustics, 2013