Co-occurring keywords · papers mentioning both
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