conftrace_

fine-grained understanding

35 papers

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Co-occurring keywords

multimodal learning (4645) video understanding (1658) vision-language model (2348) contrastive learning (4032) large language model (13587) visual grounding (518) video language model (48) multi-modal learning (1278) benchmark evaluation (1556) visual language model (119)

Papers

Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models AAAI 2026
FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding AAAI 2026
Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples AAAI 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
VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM CVPR 2025
Do Video Language Models really understand the video contexts? NAACL 2025
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding CVPR 2025
Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 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
GOAL: Global-local Object Alignment Learning CVPR 2025
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity CVPR 2025
DOGR: Towards Versatile Visual Document Grounding and Referring ICCV 2025
HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models ICCV 2025
Can VLMs Actually See and Read? A Survey on Modality Collapse in Vision-Language Models ACL 2025
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning EMNLP 2025
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM NIPS 2024
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NIPS 2024
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding NIPS 2024
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control NIPS 2024
GroundingGPT: Language Enhanced Multi-modal Grounding Model ACL 2024
FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment CVPR 2024
The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding CVPR 2024