Co-occurring keywords · papers mentioning both
Papers
UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models
CVPR 2026
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval
WACV 2025
Logits DeConfusion with CLIP for Few-Shot Learning
CVPR 2025
Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding
CVPR 2025
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
AAAI 2025
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
ICCV 2025
Region-aware Difference Distilling with Attribute-guided Contrastive Regularization for Change Captioning
AAAI 2025
Align Before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition
CVPR 2024
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
AAAI 2024
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension
EMNLP 2024
Osprey: Pixel Understanding with Visual Instruction Tuning
CVPR 2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
EMNLP 2024
Unified Lexical Representation for Interpretable Visual-Language Alignment
NeurIPS 2024
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering
CVPR 2023
Learning to Taste: A Multimodal Wine Dataset
NeurIPS 2023
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection
ICCV 2023
Semantic-Conditional Diffusion Networks for Image Captioning
CVPR 2023
Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives
EMNLP 2022
Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment
CVPR 2021
Probabilistic Embeddings for Cross-Modal Retrieval
CVPR 2021
Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding
EMNLP 2021
DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
EMNLP 2019