Vision-Language Models for Vision Tasks: A Survey

Deep Residual Learning for Image Recognition

He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474

Random Forests

Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538

Attention Is All You Need

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017) · arXiv · doi:10.48550/arxiv.1706.03762 · Cited by 120,404

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

ImageNet classification with deep convolutional neural networks

Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 73,472

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2015) · arXiv · doi:10.48550/arxiv.1506.01497 · Cited by 70,812

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333

Support-vector networks

Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421

MMLNB: Multi-Modal Learning for Neuroblastoma subtyping classification assisted with textual description generation

Chen, H., Chen, Y., Yan, Z., Ding, M., Li, C., Qin, F., Zhang, D., & Zhu, Z. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.110798 · Cited by 8

Parameter-Efficient Reparameterization Tuning for Remote Sensing Image–Text Retrieval

Yang, J. B., Li, S., & Zhao, M. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3558246 · Cited by 12

ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion

Gao, M., Xie, Y., Chen, W., Zhang, F., Ding, F., Wang, T., Yao, J., Zheng, J., & Wong, K. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107467 · Cited by 9

Leveraging Vision-Language Embeddings for Zero-Shot Learning in Histopathology Images

Rahaman, M. M., Millar, E. K. A., & Meijering, E. H. W. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3584802 · Cited by 8

Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning

Tian, Z., Liu, Y., & Sun, Q. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02145 · Cited by 10

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

Pei, G., Chen, T., Wang, Y., Cai, X., Shu, X., Zhou, T., & Yao, Y. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02315 · Cited by 10

Securing (vision-based) autonomous systems: taxonomy, challenges, and defense mechanisms against adversarial threats

Pellicer, A. L., Angelov, P. P., & Suri, N. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11373-w · Cited by 10

USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions

Rahimi, H., Bahaj, A., Abrini, M., Khoramshahi, M., Ghogho, M., & Chétouani, M. (2025) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3716553.3750767 · Cited by 15

Personality-Aware Engagement Prediction in Online Learning

Li, J., Sharma, G., & Salam, H. (2025) · International Workshop on Multimodal and Responsible Affective Computing (MRAC) · doi:10.1145/3746270.3760234 · Cited by 8

VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models

Wu, K., Xu, S., Chen, H., Wang, C., Li, Z., Wang, Y., & Zhong, F. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246600 · Cited by 9

AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis

Alawode, B., Ganapathi, I. I., Javed, S., Bennamoun, M., & Mahmood, A. (2026) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2026.3657138 · Cited by 18

Counting-based visual question answering with serial cascaded attention deep learning

MeshuWelde, T., & Liao, L. (2023) · Pattern Recognition · doi:10.1016/j.patcog.2023.109850 · Cited by 9

Towards Robustness Prompt Tuning with Fully Test-Time Adaptation for CLIP's Zero-Shot Generalization

Wang, R., Zuo, H., Fang, Z., & Lü, J. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681213 · Cited by 8

The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective

Qin, Z., Chen, D., Zhang, W., Yao, L., Huang, Y., Ding, B., Li, Y., & Deng, S. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3576835 · Cited by 17

Improving Generalization Beyond Training Data with Compositional Generalization in Large Language ModelsPreprint

Ho-tin, W., & Yip, G.-L. (2024) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/wkb32 · Cited by 8

VSLLaVA: A pipeline for Large Multimodal Foundation Models in industrial vibration signal analysis

Li, Q., Zhang, X., Huang, J., He, H., Zhang, F., Qin, Z., & Chu, F. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.105023 · Cited by 7

SAMNet: Adapting segment anything model for accurate light field salient object detection

Wang, X., Wu, J., Wu, S., & Li, J. (2024) · Image and Vision Computing · doi:10.1016/j.imavis.2024.105403 · Cited by 7

Human gait recognition based on frontal-view sequence using discriminative optical flow feature representations and learning

Deng, M., Zou, Y., Zeng, Z., Wang, Y., Feng, X., & Liu, Y. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110213 · Cited by 7

Understanding the Dynamics in Deploying AI-Based Content Creation Support Tools in Broadcasting Systems - Benefits, Challenges, and Directions

Chung, J. G., Hong, S., Choi, J., & Oh, C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713532 · Cited by 8

Enriching object-aware image–text highlight information for visual question generation

Lee, S., & Lee, D.-G. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104379 · Cited by 7

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering

Zi, X., Xiao, J., Shi, Y., Tao, X., Li, J., Braytee, A., & Prasad, M. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3758235 · Cited by 14

AKVQ-VL: Attention-Aware KV Cache Adaptive 2-Bit Quantization for Vision-Language Models

Su, Z., Shen, W., Li, L., Chen, Z., Wei, H., Yu, H., & Yuan, K. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11209367 · Cited by 18

GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models

Ji, W., Chen, H., Chen, M., Zhu, G., Xu, L., Gros, R., Zhou, R., Cao, M., & Zhao, S. (2026) · npj Robotics · doi:10.1038/s44182-025-00065-w · Cited by 12

Large Multimodal Model-Based Environment-Aware Beam Management

Kim, S., Saha, S., Jeong, S., Shim, B., & Win, M. Z. (2026) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2025.3611419 · Cited by 7

Towards open-vocabulary semantic segmentation for remote sensing images

Zhang, D., Zeng, M., & Li, X. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113120 · Cited by 7

A comprehensive review and case study of underwater object detection from traditional techniques to large vision language models

Song, W., Nabahirwa, E., Zhang, M., Fang, Y., & Ni, Z. (2026) · Discover Artificial Intelligence · doi:10.1007/s44163-026-00895-z · Cited by 12

Reasoning Segmentation for Images and Videos: A Survey

Shen, Y., Li, C., Xiong, F., Jeong, J.-O., Wang, T., Latman, M., & Unberath, M. (2026) · International Journal of Computer Vision · doi:10.1007/s11263-026-02903-2 · Cited by 15

Cross-Modality Image Interpretation via Concept Decomposition Vector of Visual-Language Models

Fang, Z., Yuan, Z., Li, Z., Chen, J., Kuang, K., Yao, Y., & Wu, F. Q. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3403167 · Cited by 9

OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition

Chen, K., Jiang, X., Wang, H., Yan, C., Gao, Y. F., Tang, X., Hu, Y. G., & Xie, W. (2024) · International Journal of Computer Vision · doi:10.1007/s11263-024-02144-1 · Cited by 7

Unlocking The Potential Of Vision-Language Models For Mammography Analysis

de Moura, L. V., Ravazio, R., Mattjie, C., Kupssinskü, L. S., Freitas, C. M. D. S., & Barros, R. C. (2024) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi56570.2024.10635683 · Cited by 7

L-MAGIC: Language Model Assisted Generation of Images with Coherence

Cai, Z., Mueller, M., Birkl, R., Wofk, D., Tseng, S.-Y., Cheng, J., Stan, G. B. M., Lai, V., & Paulitsch, M. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.00673 · Cited by 8

Improving Multimodal Emotion Recognition by Leveraging Acoustic Adaptation and Visual Alignment

Zhao, Z., Chen, H., Li, X., Jiang, D., & Xie, L. (2024) · International Workshop on Multimodal and Responsible Affective Computing (MRAC) · doi:10.1145/3689092.3689407 · Cited by 7

A Retrospective Analysis of Automated Image Labeling for Eyewear Detection Using Zero-Shot Object Detectors

Matuzevičius, D. (2024) · Electronics · doi:10.3390/electronics13234763 · Cited by 7

Learning Diffusion High-Quality Priors for Pan-Sharpening: A Two-Stage Approach With Time-Aware Adapter Fine-Tuning

Wang, Y., Lin, Y., He, X., Zheng, H., Yan, K., Fan, L., Huang, Y., & Ding, X. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3538744 · Cited by 7

Few-shot medical image classification with simple shape and texture text descriptors using vision-language models

Byra, M., Rachmadi, M. F., & Skibbe, H. (2025) · Bulletin of the Polish Academy of Sciences Technical Sciences · doi:10.24425/bpasts.2025.153838 · Cited by 7

Unified Text-Image Space Alignment with Cross-Modal Prompting in CLIP for UDA

Jiao, Y., Cai, C., & Bao, B. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3715699 · Cited by 8

CLDTracker: A Comprehensive Language Description for visual Tracking

Alansari, M., Javed, S., Ganapathi, I. I., Alansari, S., & Naseer, M. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103374 · Cited by 8

From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models

Shang, Y., Zeng, X., Zhu, Y., Yang, X. H., Fang, Z., Zhang, J., Chen, J., Liu, Z., & Tian, Y. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755728 · Cited by 13

AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity

Xia, J., He, L., Deng, C. D., Li, L., & Gao, X. (2025) · IEEE Transactions on Image Processing · doi:10.1109/tip.2025.3639984 · Cited by 7

Video Question Answering: A survey of the state-of-the-art

Jeshmol, P. J., & Kovoor, B. C. (2024) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2024.104320 · Cited by 9

CATALOG: A Camera Trap Language-Guided Contrastive Learning Model

Santamaria, J. D., Isaza, C., & Giraldo, J. H. (2025) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61041.2025.00124 · Cited by 9

Bi-Modality Individual-Aware Prompt Tuning for Visual-Language Model

Yao, H., Zhang, R., Lyu, H., Zhang, Y., & Xu, C. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3557780 · Cited by 9

Artificial intelligence in the discovery and modification of biological elements in medicinal plants

Zhang, J., Yang, Y., Si, J., Chen, D., Dong, C., & Han, Z. (2025) · Medicinal Plant Biology · doi:10.48130/mpb-0025-0010 · Cited by 6

Enhancing task incremental continual learning: integrating prompt-based feature selection with pre-trained vision-language model

Yang, L., Yang, H., He, X., Huang, W., & Lv, C. (2025) · Knowledge-Based Systems · doi:10.1016/j.knosys.2025.113704 · Cited by 6

Hyperbolic Deep Learning for Foundation Models: A Survey

He, N., Madhu, H., Bui, N., Yang, M., & Ying, R. (2025) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3711896.3736564 · Cited by 13

World model-based end-to-end scene generation for accident anticipation in autonomous driving

Guan, Y., Liao, H., Wang, C., Liu, X., Zhang, J., & Li, Z. (2025) · Communications Engineering · doi:10.1038/s44172-025-00474-7 · Cited by 11

A Systematic Review of the Use of Augmented Reality in Pedestrian Navigation

Yu, Z., Gagnon, H. C., Stefanucci, J. K., Creem-Regehr, S. H., & Bodenheimer, B. (2025) · ACM Computing Surveys · doi:10.1145/3770917 · Cited by 6

HZSCM: Hyperspectral Image Zero-Shot Classification via Vision-Language Models

Huang, L., Chen, Y., Li, Z., Ghamisi, P., & Du, Q. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3618636 · Cited by 6

IllusionBench: A Large-scale and Comprehensive Benchmark for Visual Illusion Understanding in Vision-Language Models

Zhang, Y., Zhang, Z., Wei, X., Liu, X., Zhai, G., & Min, X. (2025) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme59968.2025.11208962 · Cited by 6

Large AI Model and Loss Variation-Empowered Dual-Importance Prioritized Semantic Transmission

Liu, Y., Zhou, L., Zhang, Y., Zhao, H., Cao, K., Ning, Z., & Wei, J. (2025) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2025.3640161 · Cited by 7

Multiple Large AI Models’ Consensus for Object Detection—A Survey

Iwanowski, M., & Gahbler, M. (2025) · Applied Sciences · doi:10.3390/app152412961 · Cited by 8

SafeVision: Vision–language reasoning for context-aware safety monitoring

Abidi, S. M. H., Raza, S. M., & Shin, S. Y. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.132479 · Cited by 6

Multimodal Intelligent Perception at an Intersection: Pedestrian and Vehicle Flow Dynamics Using a Pipeline-Based Traffic Analysis System

Chang, B. R., Tsai, H. F., & Chen, C. H. (2026) · Electronics · doi:10.3390/electronics15020353 · Cited by 6

Vision-Language Models in Teaching and Learning: A Systematic Literature Review

Tian, J. (2026) · Education Sciences · doi:10.3390/educsci16010123 · Cited by 6

Ensembling disentangled domain-specific prompts for domain generalization

Xu, F., Deng, S., Jia, T., Yu, X., & Chen, D. (2024) · Knowledge-Based Systems · doi:10.1016/j.knosys.2024.112358 · Cited by 7

Social Perception of Faces in a Vision-Language Model

Hausladen, C. I., Knott, M., Camerer, C. F., & Perona, P. (2024) · Conference on Fairness, Accountability and Transparency · doi:10.1145/3715275.3732041 · Cited by 15

DLO Perceiver: Grounding Large Language Model for Deformable Linear Objects Perception

Caporali, A., Galassi, K., & Palli, G. (2024) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2024.3491428 · Cited by 8

Application of CT-based foundational artificial intelligence and radiomics models for prediction of survival for lung cancer patients treated on the NRG/RTOG 0617 clinical trial

Upadhaya, T., Chetty, I. J., McKenzie, E. M., Bagher‐Ebadian, H., & Atkins, K. M. (2023) · BJR|Open · doi:10.1093/bjro/tzae038 · Cited by 6

Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models

Liu, J. X., Shah, A., Konidaris, G., Tellex, S., & Paulius, D. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802696 · Cited by 9

Assessing the spatial accuracy of geocoding flood-related imagery using Vision Language Models

Schmidt, S., Fragachan, E. D., Arifi, D., Hanny, D., & Resch, B. (2025) · Spatial Information Research · doi:10.1007/s41324-025-00609-0 · Cited by 6

Avoiding the Crash: A Vision-Language Model Evaluation of Critical Traffic Scenarios

Fernandez, D., MohajerAnsari, P., Salarpour, A., & Pesé, M. D. (2025) · SAE International Journal of Advances and Current Practices in Mobility · doi:10.4271/2025-01-8213 · Cited by 6

From Vision to Motion: Translating Large-Scale Knowledge for Data-Scarce IMU Applications

Yoon, H., Cha, H., Nguyen, H., Gong, T., & Lee, S.-J. (2025) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2025.3556998 · Cited by 9

Exploring news intent and its application: A theory-driven approach

Wang, Z., Wang, D., Sheng, Q., Cao, J., Ma, S., & Cheng, H. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104229 · Cited by 9

Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models

Madokoro, H., & Nix, S. (2025) · Sensors · doi:10.3390/s25134053 · Cited by 7

Physics Context Builders: A Modular Framework for Physical Reasoning in Vision-Language Models

Balazadeh, V., Ataei, M., Cheong, H., Khasahmadi, A. H., & Krishnan, R. G. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00687 · Cited by 20

Extending Large Vision–Language Model for Diverse Interactive Tasks in Autonomous Driving

Zhao, Z., Fu, H., Liang, D., Zhou, X., Zhang, D., Xie, H., Wang, B., & Bai, X. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3719473 · Cited by 13

A Machine Walks into an Exhibit: A Technical Analysis of Art Curation

von Davier, T. Ş., Herman, L. M., & Moruzzi, C. (2024) · Arts · doi:10.3390/arts13050138 · Cited by 7

Generative AI for the Maritime Environments

Reddy, G. P., Sinha, S., & Park, S. (2024) · International Conference on Ubiquitous and Future Networks · doi:10.1109/icufn61752.2024.10625100 · Cited by 8

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

Wang, H., Guo, B., Zeng, Y., Chen, M., Ding, Y., Zhang, Y., Yao, L., & Yu, Z. (2025) · ACM Transactions on Information Systems · doi:10.1145/3715098 · Cited by 7

A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware MetricPreprint

Guan, H., Hou, P. C., Hong, P., Wang, L., Zhang, W., Du, X., Zhou, Z., & Zhou, L. (2025) · medRxiv · doi:10.1101/2025.07.13.25331222 · Cited by 6

Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Liu, P., Tao, Q., & Zhou, J. T. (2024) · arXiv · doi:10.48550/arxiv.2406.06965 · Cited by 6

Chart Accessibility: A Review of Current Alt Text Generation

Yan, C., Hutter, H.-P., Schmitt-Koopmann, F. M., & Darvishy, A. (2025) · IEEE Access · doi:10.1109/access.2025.3571626 · Cited by 5

Improving Surface Defect Detection for Trains Based on Visual-Language Knowledge Guidance on Tiny Datasets

Lei, K., Qi, Z., & Jin, S. (2025) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2025.3532731 · Cited by 5

Human-in-the-loop tabular data extraction methods for historical climate data rescue

Vercruysse, B., Birkholz, J. M., Chandrasekar, K. K. T., Muheki, D., Thiery, W., Verbeeck, H., Hufkens, K., Jacobsen, K., & Verbruggen, C. (2026) · International Journal on Document Analysis and Recognition (IJDAR) · doi:10.1007/s10032-025-00524-y · Cited by 5

Self-Supervised Image Anomaly Detection Through Diverse Pseudo Anomaly Insertion

Shah, R. A., Urmonov, O., & Kim, H. (2025) · IEEE Access · doi:10.1109/access.2025.3580864 · Cited by 5

VLF-DETR: Integrating Vision-Language and High-Frequency Features for Transmission Line Defect Detection

Zhang, K., Yang, J., Wang, J., Zheng, Z., Che, X. S., & Zhang, N. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3586346 · Cited by 5

Towards Cross-Modal Retrieval in Chinese Cultural Heritage Documents: Dataset and Solution

Yuan, J., Zhang, J., Wu, F., Lu, H., Lu, D., & Wang, Q. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-04627-7_33 · Cited by 5

From task-specific to foundation models: A paradigm shift in medical vision-language analysis

Ali, M. U., Zafar, A., Kim, S., Kim, K. S., & Lee, S. W. (2025) · Computer Science Review · doi:10.1016/j.cosrev.2025.100831 · Cited by 6

Integration of LLMs and VLMs in plant stress phenotyping: From trait recognition to decision support

Musazade, E., Mrisho, I. I., Gao, J., & Feng, X. (2025) · Plant Phenomics · doi:10.1016/j.plaphe.2025.100161 · Cited by 7

Generative AI-driven data augmentation and object-guided vision-language reasoning for PPE compliance analysis in work-at-height

Xu, W., Yi, W., & Tan, Y. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.104364 · Cited by 5

LearnMat: Semantic-Aware Self-Supervision Fine-Grained Visual Recognition

Li, S., Cai, Q., Zhang, F. W., Shu, Y., Li, G., Dong, J., Liu, L., & Zhang, D. D. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3671661 · Cited by 5

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text

Wang, B., Ning, Z., Ding, J., Gao, X., Yin, L., Jiang, D., Yang, J., & Liu, W. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.01924 · Cited by 11

The evolution, applications, and future prospects of large language models: An in-depth overview

Li, J. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/35/20230399 · Cited by 7

AttriPrompter: Auto-Prompting With Attribute Semantics for Zero-Shot Nuclei Detection via Visual-Language Pre-Trained Models

Wu, Y., Zhou, Y., Saiyin, J., Wei, B., Lai, M., Shou, J., & Xu, Y. L. (2024) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2024.3473745 · Cited by 6

Zone-YOLO: Vision-Language Object Detection Using Zone Prompt

Yang, J., Jia, N., Liu, X., Fan, R., Sun, Y., & Zhao, W. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3510117 · Cited by 5

Visionxplore: Florence-2 for Robust Targeted Object Detection

Abbas, M. H., Zhang, X., Manzoor, M., Tabraiz, S., & Hassan, I. (2024) · International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) · doi:10.1109/iccwamtip64812.2024.10873770 · Cited by 5

Semantic Graph Embedded Energy Minimization Learning for Scene Graph Generation

Chen, J., Zhang, C., Liu, Y., & Wang, L. (2025) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49660.2025.10889599 · Cited by 5

Disaster Image Tagging Using Generative AI for Digital Archives

Yasuda, K., Aritsugi, M., Takeuchi, Y., Shibayama, A., & Mendonça, I. (2024) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/3677389.3702516 · Cited by 5

Cross-Lingual Adaptation for Vision-Language Model via Multimodal Semantic Distillation

Weng, Y., He, W., Dong, J., Chaomurilige, C., Liu, X., & Liu, Z. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3557678 · Cited by 5

Efficient Real-Time Pathfinding for Visually Impaired Individuals

Ghahremanians, T., & Mohammadi, H. M. (2025) · IEEE Access · doi:10.1109/access.2025.3562247 · Cited by 5

Exploring Text-Guided Single Image Editing for Remote Sensing Images

Han, F., Si, L., Dong, H., Jiang, Z., Zhang, L., Chen, H., Liu, Y., & Du, B. (2025) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2025.3584418 · Cited by 7

Image-Level Anti-Personnel Landmine Detection Using Deep Learning in Long-Wave Infrared Images

Kim, J., & Kwon, G. (2025) · Applied Sciences · doi:10.3390/app15158613 · Cited by 7

Bootstrapping Object-Level Planning with Large Language Models

Paulius, D., Agostini, A., Quartey, B., & Konidaris, G. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127365 · Cited by 5

RipenessGAN: Growth Day Embedding-Enhanced GAN for Stage-Wise Jujube Ripeness Data Generation

Kang, J.-S., Yoon, J., Park, B.-J., Kim, J., Jee, S. C., Song, H.-Y., & Chung, H.-J. (2025) · Agronomy · doi:10.3390/agronomy15102409 · Cited by 5

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports

Schäfer, H., Schmidt, C. S., Wutzkowsky, J., Lorek, K., Reinartz, L., Rückert, J., Temme, C., Böckmann, B., Horn, P., & Friedrich, C. M. (2025) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc58623.2025.11254237 · Cited by 5

MG-3D: Multi-grained knowledge-enhanced vision-language pre-training for 3D medical image analysis

Ni, X., Wu, L., Zhuang, J., Wang, Q., Wu, M., Vardhanabhuti, V., Zhang, L., Gao, H., & Chen, H. (2026) · Medical Image Analysis · doi:10.1016/j.media.2026.104027 · Cited by 5

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Shin, D., Lim, H., Won, I., Choi, C.-S., Kim, M.-J., Song, S., Yoo, H., Kim, S., & Lim, K. (2024) · Findings of the Association for Computational Linguistics: NAACL · doi:10.18653/v1/2024.findings-naacl.158 · Cited by 5

Computer and Robot Vision: Past, Present, and Future [TC Spotlight]

Gionfrida, L., Wang, C., Gan, L., Chli, M., & Carlone, L. (2024) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2024.3428780 · Cited by 5

Mitigating Multilingual Hallucination in Large Vision-Language Models

Qu, X., Song, M., Wei, W., Liu, D., Dong, J., & Cheng, Y. (2026) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3797025 · Cited by 5

Semantic reasoning takes place largely outside the language networkPreprint

Ivanova, A. A., Kauf, C., Gao, R., She, J. S., Kean, H., Goldhaber, T., Nieto-Castañón, A., Varley, R. A., Kanwisher, N., & Fedorenko, E. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.07.692873 · Cited by 5

Vision-Language Models for Visual Recognition

Prakash, R., & Sharma, P. (2025) · doi:10.13140/rg.2.2.15218.82883

Vision-and-Language Pretraining: Methods, Applications, and Future ChallengesPreprint

Nguyen, T., Nguyen, C.-D. T., Wu, X., Ng, S.-K., & Luu, A.-T. (2023) · Research Square · doi:10.21203/rs.3.rs-3120051/v1 · Cited by 1

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets

Danish, S., Sadeghi‐Niaraki, A., Khan, S. U., Dang, L. M., Tightiz, L., & Moon, H. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103623 · Cited by 45

From Perception to Reasoning: A Survey of Vision Large Language ModelsPreprint

Mathew, N., Shen, Y., Huang, M., Wang, Z., Li, Y., & Qiu, S. (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.18943956

Vision-and-Language PretrainingPreprint

Nguyen, T., Nguyen, C.-D. T., Wu, X., Ng, S.-K., & Luu, A. T. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2207.01772 · Cited by 4