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conftrace_

fine-grained understanding

38 papers

Papers

DeepScan: A Training-Free Framework for Visually Grounded Reasoning in Large Vision-Language Models CVPR 2026 FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding AAAI 2026 Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models AAAI 2026 Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025 A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models ACL 2025 Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens ICCV 2025 Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models ACL 2025 DOGR: Towards Versatile Visual Document Grounding and Referring ICCV 2025 Do Video Language Models really understand the video contexts? NAACL 2025 Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want ICLR 2025 Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 2025 FG-CLIP: Fine-Grained Visual and Textual Alignment ICML 2025 FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity CVPR 2025 GOAL: Global-local Object Alignment Learning CVPR 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models ICCV 2025 Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs ACL 2025 ProtoVQA: An Adaptable Prototypical Framework for Explainable Fine-Grained Visual Question Answering EMNLP 2025 RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning EMNLP 2025 SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding CVPR 2025 VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM CVPR 2025 AutoAD III: The Prequel - Back to the Pixels CVPR 2024 E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding NeurIPS 2024 FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NeurIPS 2024 FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment CVPR 2024