Co-occurring keywords · papers mentioning both
Papers
Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
ACL 2026
CountGD++: Generalized Prompting for Open-World Counting
CVPR 2026
CoV-Align: Efficient Fine-grained Cross-Modal Alignment with Cohesive Visual Semantics Priority
CVPR 2026
COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control
AAAI 2026
CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation
AAAI 2026
Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization
EACL 2026
CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning
CVPR 2026
CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
ACL 2026
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
AAAI 2026
Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models
AAAI 2026
CrossHOI-Bench: A Unified Benchmark for HOI Evaluation across Vision-Language Models and HOI-Specific Methods
CVPR 2026
Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality
ACL 2026
Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models
AAAI 2026
Cross-Modal Taxonomic Generalization in (Vision-) Language Models
ACL 2026
CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection
CVPR 2026
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
AAAI 2026
Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping
AAAI 2026
Current Agents Fail to Leverage World Model as Tool for Foresight
ACL 2026
DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards
EACL 2026
Dash-M5H: An Interactive Dashboard for Multi-Modal, Multi-Model Mental Health Assessment
ACL 2026
Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models
AAAI 2026
DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles
CVPR 2026
DE-CLIP: Few-Shot Anomaly Detection via Difference-Guided Embedding Editing
ACL 2026
Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
AAAI 2026
Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning
CVPR 2026