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conftrace_

vision-language model

3,629 papers

(V)LM VLM VL MODEL VLMS

Papers

Language Models Can Explain Visual Features via Steering CVPR 2026 Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework AAAI 2026 LASOR: Towards Clinically Transparent and Explainable Ophthalmic Report Generation via Lesion-Aware Segmentation WACV 2026 Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models ACL 2026 LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection AAAI 2026 Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation AAAI 2026 Learning complete and explainable visual representations from itemized text supervision CVPR 2026 Learning Diffusion Policy from Primitive Skills for Robot Manipulation AAAI 2026 Learning from Itself: Mining Internal Knowledge from Vision Language Models for Continual Learning CVPR 2026 Learning from Noisy Supervision: A Denoising-Debiasing Framework for Weakly Supervised Video Anomaly Detection CVPR 2026 Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding ACL 2026 Learning Multi-View Spatial Reasoning from Cross-View Relations CVPR 2026 Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models CVPR 2026 Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos CVPR 2026 Learning What Matters: Prioritized Concept Learning via Relative Error-driven Sample Selection CVPR 2026 Learning Where to Look and How to Judge: Resolution-agnostic Image Quality Assessment with Quality-aware Saliency CVPR 2026 Lenses: Toward Polysemous Vision-Language Understanding CVPR 2026 LENS: Learning to Segment Anything with Unified Reinforced Reasoning AAAI 2026 LensWalk: Agentic Video Understanding by Planning How You See in Videos CVPR 2026 Let VLMs Grade Their Own Thoughts: A Self-Quantification Approach to Reasoning-Aware Reward Modeling CVPR 2026 Leveraging Class Distributions in CLIP for Weakly Supervised Semantic Segmentation CVPR 2026 Leveraging Textual Compositional Reasoning for Robust Change Captioning AAAI 2026 Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification AAAI 2026 Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning ACL 2026 LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding CVPR 2026