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

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Attention Is All You Need

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Very Deep Convolutional Networks for Large-Scale Image Recognition

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ImageNet classification with deep convolutional neural networks

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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

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ImageNet: A large-scale hierarchical image database

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Support-vector networks

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Remote Sensing Image Generation via Object Text Decoupling

Zhao, W., Zhang, Z., Zhao, F., Wang, H., He, Y., & Lu, H. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3599520 · Cited by 4

LLM-Augmented Multi-Fidelity Bayesian Optimization for Parameter Optimization in Human-Robot Collaborative Assembly

Xia, L., Chen, H., Pang, J., Liu, S., Zheng, P., & Ansari, F. (2025) · IEEE/ASME International Conference on Advanced Intelligent Mechatronics · doi:10.1109/aim64088.2025.11175780 · Cited by 4

Zero-Shot Visual Anomaly Detection on a Quadruped Robot Using State of the Art Visual Language Models

Aydoğmuş, Ö., & Boztaş, G. (2026) · IEEE Access · doi:10.1109/access.2026.3658108 · Cited by 4

Test-Time Retrieval-Augmented Adaptation for Vision-Language Models

Fan, X., Chen, X. Y., Yang, L., Yap, C. H., Qureshi, R., Dou, Q., Yap, M. H., & Shah, M. A. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00824 · Cited by 4

Domain Knowledge Enhanced Vision-Language Pretrained Model for Dynamic Facial Expression Recognition

Li, L., Zheng, Y., Liu, S., Xu, X., & Li, T. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681708 · Cited by 4

VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models

Sartori, C. C., Blum, C., & Bistaffa, F. (2025) · IEEE Access · doi:10.1109/access.2025.3535837 · Cited by 4

Prompting Robotic Modalities (PRM): A structured architecture for centralizing language models in complex systems

Benjdira, B., Koubâa, A., & Ali, A. M. (2025) · Future Generation Computer Systems · doi:10.1016/j.future.2025.107723 · Cited by 5

Vision techniques for anatomical structures in laparoscopic surgery: a comprehensive review

Zhou, R., Wang, D., Zhang, H., Zhu, Y., Zhang, L., Chen, T., Liao, W., & Ye, Z. (2025) · Frontiers in Surgery · doi:10.3389/fsurg.2025.1557153 · Cited by 4

Diverse and High-Quality Food Image Generation from Only Food Names

Yu, D., Min, W., Jin, X., Jiang, Q., Jin, Y., & Jiang, S. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3730588 · Cited by 5

Traffic scene perception via multimodal large language model with data augmentation and efficient training strategy

Liu, S., Shi, L., Shi, Y., Gao, Y., & Sun, X. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113210 · Cited by 7

AD-DINO: Attention-Dynamic DINO for Distance-Aware Embodied Reference Understanding

Guo, H. Y., Fan, W., Wei, B., Zhu, J., Tian, J. X., Yi, C., & Jiang, F. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3569731 · Cited by 4

When evidence modeling meets knowledge distillation: Towards reliable contrast-enhanced knowledge distillation for non-contrast medical image segmentation

Zhao, J., & Li, S. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103677 · Cited by 4

Relevance-Guided Adaptive Learning for Remote Sensing Image–Text Retrieval

Chen, X., Zheng, X., & Lu, X. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3587097 · Cited by 4

Real-world super-resolution with VLM-based degradation prior learning

Chen, X., Mao, D., & Ke, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-14581-0 · Cited by 4

DK-SMF: Domain Knowledge-Driven Semantic Modeling Framework for Service Robots

Joo, K., Jeong, Y., Kwon, S., Jeong, M., Kim, H., & Kuc, T. (2025) · Electronics · doi:10.3390/electronics14163197 · Cited by 4

Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis

Wang, J., Byeon, K., Song, J., Nguyen, A. T., Ahn, S., Lee, S. H., & Kwak, J. T. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-04937-7_43 · Cited by 4

Mutual contextual relation-guided dynamic graph networks for cross-modal image-text retrieval

Sucharitha, G., Kalyani, B. J. D., Raju, A. S. N., Sitharamulu, V., Guntreddi, V., & Potluri, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-11045-3 · Cited by 4

Learning Knowledge-Based Prompts for Robust 3D Mask Presentation Attack Detection

Jiang, F., Li, Q., Liu, B., Wang, W., Shan, C., Sun, Z., & Yang, M.-H. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3618630 · Cited by 4

Artificial intelligence for immunotherapy response assessment in lung cancer using PET/CT reports

İsmayılov, R., Altundağ, Ö., Gençoğlu, E. A., Aktaş, A., Alparslan, S., Özçiçek, A., Turhanoglu, D., Oğuz, A., Farzaliyeva, A., Ramazanoğlu, M. N., et al. (2025) · Japanese Journal of Radiology · doi:10.1007/s11604-025-01840-3 · Cited by 4

MiraGe: Multimodal Discriminative Representation Learning for Generalizable AI-Generated Image Detection

Shi, K., Jie Lu, B., Ye, S., Zhang, G., & Fang, Z. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755142 · Cited by 4

How Vision-Language Tasks Benefit From Large Pre-Trained Models: A Survey

Qi, Y., Hong-xi, L., Song, Y., Wu, X., & Luo, J. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3632653 · Cited by 5

Deep-Stride: Automated Security Threat Modeling with Vision-Language Models

Bandara, E., Hass, A., Shetty, S. S., Mukkamala, R., Gore, R. J., Rahman, A., & Bouk, S. H. (2025) · International Conference on Software, Telecommunications and Computer Networks (SoftCOM) · doi:10.23919/softcom66362.2025.11197424 · Cited by 4

Benchmarking Open-Source Vision Language Models in Orthopedic In-Training Examination: A Comparison with Residents, Domain-Specific Evaluation, and Parameter Scaling

Ko, S., Lee, J., Ko, K., & Kim, J. (2025) · Clinics in Orthopedic Surgery · doi:10.4055/cios25183 · Cited by 4

A systematic review on computer vision-based methods for cervical cancer detection

Mbelwa, H., Leo, J., Kahesa, C., & Mkoba, E. S. (2025) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2025.101726 · Cited by 4

Synergy of giants and specialists: A large-and-small model integration framework driven by generative AI for smart manufacturing

xu, Q., Zhang, C., Ma, D., Cao, Y., & Zhou, G. (2026) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2026.103254 · Cited by 4

Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions

Nagaraja, N., Zhang, L., Wang, Z., Zhang, B., & Patil, P. (2025) · International Conference on Foundation and Large Language Models (FLLM) · doi:10.1109/fllm67465.2025.11391218 · Cited by 4

Synthetic X‑ray‑driven tracking and control of miniature medical devices

Wang, C., Kang, W., Sun, M., Zhang, H., Hong, C., Demir, S. Ö., Ugurlu, H., Hao, K., Liu, Z., Wang, T., et al. (2026) · Nature Machine Intelligence · doi:10.1038/s42256-026-01190-3 · Cited by 4

MMDrive: Interactive Scene Understanding Beyond Vision with Multi-representational Fusion

Hou, M., Huang, W.-H., Liang, S., Liu, D., Wen, T.-H., Wang, G., Guan, R., & Ding, W. (2026) · Information Fusion · doi:10.1016/j.inffus.2026.104314 · Cited by 4

Automated worker action recognition in construction videos via domain-adapted vision-language fusion

Chen, Q., Yin, X., Gong, Y., & Seo, J. (2026) · Automation in Construction · doi:10.1016/j.autcon.2026.106932 · Cited by 6

LoVR: A Benchmark for Long Video Retrieval in Multimodal Contexts

Liang, H., Cai, Q., Han, Z., Dong, H., Qiang, M., An, R., Xu, Q., Cui, B., & Zhang, W. (2026) · International World Wide Web Conference (WWW) · doi:10.1145/3774904.3792099 · Cited by 17

Adaptive Multi-Modality Prompt Learning

Wu, Z., Liu, Y., Zhan, M., Hu, P., & Zhu, X. (2024) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3664647.3681485 · Cited by 5

Seeing Through Expert’s Eyes: Leveraging Radiologist Eye Gaze and Speech Report with Graph Neural Networks for Chest X-Ray Image Classification

Sultana, J., Qin, R., & Yin, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-0901-7_9 · Cited by 4

Enabling Intelligent Robotic Visual Inspection in the Railway Industry with Generative AI

Kilsby, P., & Kun, L. A. (2024) · IEEE International Conference on Robotic Computing (IRC) · doi:10.1109/irc63610.2024.00051 · Cited by 4

Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings From Images and Text

Park, S., Ryu, G., & Choi, D. (2025) · IEEE Access · doi:10.1109/access.2025.3542825 · Cited by 4

Can Relevance Feedback, Conversational Search and Foundation Models Work Together for Interactive Video Search and Exploration?

Sharma, U., Khan, O. S., Rudinac, S., & Jónsson, B. Þ. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00359 · Cited by 4

Performance of GPT-4V(ision) in Ophthalmology: Use of Images in Clinical QuestionsPreprint

Tomita, K., Nishida, T., Kitaguchi, Y., Miyake, M., & Kitazawa, K. (2024) · medRxiv · doi:10.1101/2024.01.26.24301802 · Cited by 4

Supplementary Prompt Learning for Vision-Language Models

Zeng, R., Yang, Z., Yu, R., & Zhang, Y. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02451-1 · Cited by 4

“Trying to Piece It Together”: Exploring Accessible Error Detection in Emerging Privacy Techniques With Blind People

Alharbi, R., Cheong, A. D., Herskovitz, J., Brewer, R. N., & Schoenebeck, S. (2025) · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663547.3746376 · Cited by 3

Human-Guided Zero-Shot Surface Defect Semantic Segmentation

Jin, Y., Zhang, Y., Shan, D., & Wu, Z. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3538058 · Cited by 3

DAT: Dual-Branch Adapter-Tuning for Few-Shot Recognition

Chen, J., Wu, G., Li, H., Chen, J., Zhang, W., Zheng, W., & Wang, R. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3541960 · Cited by 3

Harnessing Vision-Language Models for Improved Detection and Analysis of Harmful Algal Blooms (HAB)

Ansary, J., & Gupta, A. R. (2025) · ACS ES&T Water · doi:10.1021/acsestwater.5c00207 · Cited by 3

Rethinking Chart Understanding Using Multimodal Large Language Models

Tanasa, A.-M., & Oprea, S. (2025) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2025.065421 · Cited by 4

Transforming Product Discovery and Interpretation Using Vision–Language Models

Oprea, S., & Bârã, A. (2025) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer20030191 · Cited by 4

Evaluating Vision Language Models for Handwritten Text Recognition

García, L. D., Fernández, P. T., Cardeñoso-Payo, V., Mendes, A. S., & Murciego, Á. L. (2025) · Advances in intelligent systems and computing · doi:10.1007/978-3-031-99474-6_24 · Cited by 3

Visual-Language Multi-Task Blind Image Quality Assessment With Local Quality Weighting

Xia, J., He, L., Hu, B., Li, L., & Gao, X. (2025) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2025.3599072 · Cited by 3

A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification

Lamm, B., & Keuper, J. (2025) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw67362.2025.00196 · Cited by 3

BrainSMM: Lifespan Brain Segmentation Model With Metadata-Driven Prompt Learning

Teng, L., Zhao, Z., Wang, Y., Shi, F., & Shen, D. G. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3616586 · Cited by 3

FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos

Chen, R., Sun, L., Tang, J., Li, G., & Chu, X. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755102 · Cited by 3

Vision‐Language Hazard Reasoning for Driver Distraction and Workload Estimation

Ng, S., Zhou, H., Arogbonlo, A., Lim, C. P., & Nahavandi, S. (2025) · Electronics Letters · doi:10.1049/ell2.70466 · Cited by 3

Mine hazardous obstacle segmentation for automated bulldozer with segment anything model

Wang, Y., You, K., Jiang, Y., Hu, S., Wu, Z., & Zhou, C. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.113089 · Cited by 3

Integrative stock price trend prediction via hierarchical LLM text processing and patch-based transformer with co-attention

Zhang, Y., Dong, Z., & Xu, W. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.130441 · Cited by 3

Harnessing Earth Observation and Machine Learning for Sustainable Development Goals

Abbas, T., Zahra, T., Shehzadi, K., Mehmood, F., Razzaq, A., & Li, H. (2025) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.70051 · Cited by 4

Diverse semantic representation learning based on vision-language models for zero-shot indoor scene recognition

Wang, C., Peng, G., Bernard De Baets, C., & Pan, X. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.104049 · Cited by 3

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs

Kearney, S., Yang, S., Wen, Z., Hou, B., Duong-Tran, D., Chen, T., Moore, J. H., Ritchie, M. D., & Shen, L. (2025) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3765612.3767229 · Cited by 3

Supad: a superordinary zero-shot industrial anomaly detection network based on gated-agnostic multimodal adaptive learning prompts

Li, X., Jing, J., Wu, T., Zhang, X., & Liu, W. (2026) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02757-4 · Cited by 3

SigMa: Semantic Similarity-Guided Semi-Dense Feature Matching

Fang, X., Li, Z., & Ma, J. (2026) · IEEE Transactions on Image Processing · doi:10.1109/tip.2026.3654367 · Cited by 3

Distribution-to-Points Matching for Image Text Retrieval

Wang, Z., Xu, X., Zhu, L., Song, J., Yang, Y., & Shen, H. T. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3664613 · Cited by 3

A memory-augmented LLM-driven method for autonomous merging of 3D printing work orders

Liu, Y., Yang, M., & Jiang, P. (2026) · Procedia CIRP · doi:10.1016/j.procir.2025.08.194 · Cited by 3

CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning

Yu, H., Zhao, Z., Yan, S., Korycki, Ł., Wang, J., He, B., Liu, J., Zhang, L., Fan, X., & Yu, H. (2025) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw69036.2025.00659 · Cited by 3

Standardization of Neuromuscular Reflex Analysis—Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM-Enabled Decision Support System

Bandara, E., Gore, R. J., Shetty, S., Mukkamala, R., Rhea, C. K., Samulski, B., Hass, A., Yarlagadda, A., Kaushik, S., Silva, M. D., et al. (2026) · Biomechanics · doi:10.3390/biomechanics6010023 · Cited by 3

Conformal Prediction for Counterfactual Detection in Concept Learning from Synthetic Visual Patterns

Norinder, U., Lowry, S. M., Müller, H., & Holzinger, A. (2026) · Electronics · doi:10.3390/electronics15071346 · Cited by 3

Vis2Tac: Residual feature–mediated cross-modal mapping learning framework for surface micro-defect detection

Xi, Z., Gao, Y., Li, X., & Gao, L. (2026) · Pattern Recognition · doi:10.1016/j.patcog.2026.113728 · Cited by 3

Vision-language models for occupational physical exposure assessment: Classification and temporal segmentation of manual material handling tasks

Rajabi, M. S., Ojelade, A., Kim, S., & Nussbaum, M. A. (2026) · Applied Ergonomics · doi:10.1016/j.apergo.2026.104831 · Cited by 3

Automated pavement crack inspection using vision-language models and unmanned aerial vehicle imagery

Abdallah, M., Kaloop, M. R., El-Diasty, M., Hassan, H. F., Al-Shamsi, K., & Hu, J. W. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115451 · Cited by 3

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Dong, H., Sheng, L., Liang, J., He, R., Chatzi, E., & Fink, O. (2026) · International Journal of Computer Vision · doi:10.1007/s11263-026-02987-w · Cited by 15

Detection of Novel Objects without Fine-Tuning in Assembly Scenarios by Class-Agnostic Object Detection and Object Re-Identification

Eisenbach, M., Franke, H., Franze, E., Köhler, M., Aganian, D., Seichter, D., & Groß, H. (2024) · Automation · doi:10.3390/automation5030023 · Cited by 3

Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models

Hirohashi, Y., Hirakawa, T., Yamashita, T., & Fujiyoshi, H. (2024) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw63382.2024.00772 · Cited by 3

Visuo-Tactile Zero-Shot Object Recognition with Vision-Language Model

Ueda, S., Hashimoto, A., Hamaya, M., Tanaka, K., & Saitô, H. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801766 · Cited by 3

Multimodal Natural Disaster Scene Recognition with Integrated Large Model and Mamba

Shao, Y., & Xu, L. (2025) · Applied Sciences · doi:10.3390/app15031149 · Cited by 4

On Calibration of Prompt Learning Using Temperature Scaling

Nguyen, K.-B., & Park, C. J. (2025) · IEEE Access · doi:10.1109/access.2025.3538617 · Cited by 3

Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks

Dona, M. A. M., Cabrero‐Daniel, B., Yu, Y., & Berger, C. (2024) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc58415.2024.10920027 · Cited by 7

Enhancing Visual Question Answering with Pre-trained Vision-Language Models: An Ensemble Approach at the LAVA Challenge 2024

Nguyen-Mau, T.-H., Nguyen-Truc, N.-B., Hoang, N.-V., Tran, M., & Nguyen, H.-D. (2025) · Lecture notes in computer science · doi:10.1007/978-981-96-2641-0_19 · Cited by 3

From Pixels to Insights: Unsupervised Knowledge Graph Generation with Large Language Model

Chen, L., Chen, Z., Wei, Y., Liu, S., & Li, Y. (2025) · Information · doi:10.3390/info16050335 · Cited by 3

Active Prompt Tuning Enables GPT-4O to do Efficient Classification of Microscopy Images

Kandiyana, A., Mouton, P. R., Kolinko, Y., Hall, L., & Goldgof, D. B. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10981114 · Cited by 3

Visual Prompting and Adaptation of Vision Language Models for Tumor Classification in Breast Ultrasound

Saha, A., & Mukherjee, D. (2025) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi60581.2025.10980993 · Cited by 3

Can Machines Understand Composition? Dataset and Benchmark for Photographic Image Composition Embedding and Understanding

Zhao, Z., Lu, P., Zhang, A., Li, P., Li, X., Liu, X., Hu, Y., Chen, S., Wang, L., & Guo, W. (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/cvpr52734.2025.01344 · Cited by 5

Frequency-Based Comprehensive Prompt Learning for Vision-Language Models

Liu, L., Wang, N., Chen, C., Liu, D., Yang, X., Gao, X., & Liu, T. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3599830 · Cited by 6

VLPrompt-PSG: Vision-Language Prompting for Panoptic Scene Graph Generation

Zhou, Z., Caesar, H., Chen, Q., & Shi, M. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02564-7 · Cited by 10

Enhancing Ancient Ceramic Knowledge Services: A Question Answering System Using Fine-Tuned Models and GraphRAG

Chen, Z., & Liu, B. (2025) · Information · doi:10.3390/info16090792 · Cited by 3

Dynamic Bit-Wise Semantic Transformer Hashing for Multi-Modal Retrieval

Tan, W., Li, F., Zhu, L., Guan, W., Li, J., Cheng, Z., & Shen, H. T. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2025.3630209 · Cited by 5

Active Prompting of Vision Language Models for Human-in-the-loop Classification and Explanation of Microscopy Images

Kandiyana, A., Mouton, P. R., Hall, L., & Goldgof, D. B. (2024) · Proceedings - IEEE Symposium on Computer-Based Medical Systems · doi:10.1109/cbms61543.2024.00042 · Cited by 3

Enhancing Vision-Language Models Incorporating TSK Fuzzy System for Domain Adaptation

Shi, K., Lü, J., Fang, Z., & Zhang, G. (2024) · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · doi:10.1109/fuzz-ieee60900.2024.10612077 · Cited by 3

Scaling Object-centric Robotic Manipulation with Multimodal Object Identification

Mitash, C., Hussein, M., Vanbaar, J., Terhuja, V., & Katyal, K. D. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10611181 · Cited by 3

DiViCo: Disentangled Visual Token Compression for Efficient Large Vision-Language Model

Wang, X. Y., Pan, Z., Chen, H., & Zhu, W. (2025) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2025.3567138 · Cited by 3

LongWriter-V: Enabling Ultra-Long and High-Fidelity Generation in Vision-Language Models

Tu, S., Wang, Y., Zhang-Li, D., Bai, Y., Yu, J., Wu, Y., Hou, L., Liu, H., Liu, Z., Xu, B., et al. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3755221 · Cited by 6

Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation

Wang, R., Yu, T., Wu, J., Liu, Y., McAuley, J., & Yao, L. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247068 · Cited by 6

When ‘Yes’ Meets ‘But’: Can AI Comprehend Contradictory Humor in Comics?

Liang, T., Hu, Z., Li, J., Zhang, H., Lu, Y., Zhou, Y., Qiao, Y., Liu, D., Peng, J., Ma, J., et al. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3688191 · Cited by 3

Pixels to Phrases: Evolution of Vision Language ModelsPreprint

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Visual Affordance Recognition: A Study on Explainability and Interpretability for Human Robot Interaction

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