Accepted Papers

Accepted papers can also be read on OpenReview.

Archival track:

End-to-End RAW Synergy for Elevated Vision-Language Reasoning

Kepeng Xu, Tong Qiao, Zhenyang Liu, Gang He

Ontology-Guided Prompting for Reasoning in Multimodal Vision-Language Models: An Application to Rare Dental Disease

Kareem elgohary, Ali Ayadi, KAWCZYNSKI Marzena, Agnes BLOCH-ZUPAN, Cédric Wemmert

MemeBlip2: A Novel Light Weight Multimodal System to Detect Harmful Memes

Ran Tong, Jiaqi Liu, Aowei Shen, Shuzheng Li, Changlin Yang, Lisha Xu

Representation Learning with Adaptive Superpixel Coding

Mahmoud Khalil, Alioune Ngom, Ahmad Khalil

Non-Archival track:

Multi-Modal Interpretability for Enhanced Localization in Vision-Language Models

Muhammad Imran, Yugyung Lee

MMDU-Bench: Multi-modal Deep Unlearning Benchmark

Ziyang Zhang

GeoChain: Multimodal Chain-of-Thought for Geographic Reasoning

Nilay Pande, Sahiti Yerramilli, Jayant Sravan Tamarapalli, Rynaa Grover

HueManity: Probing Fine-Grained Visual Perception in MLLMs

Rynaa Grover, Jayant Sravan Tamarapalli, Sahiti Yerramilli, Nilay Pande

Commonsense Storage Reasoning in Domestic Scenes: A Challenge for Vision-Language Models

Michaela Levi Richter, Oren Glickman, Reuth Mirsky

ManeuverVLM: A Novel Multimodal Fusion of Scene Images and Temporal Signals for Maneuver Prediction

Roksana Yahyaabadi, Soodeh Nikan

Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning

Yihong Tang, Ao Qu, Zhaokai Wang, Dingyi Zhuang, Zhaofeng Wu, Wei Ma, Shenhao Wang, Yunhan Zheng, Zhan Zhao, Jinhua Zhao

MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models

Vanya Cohen, Ray Mooney

Can Large Vision Language Models Understand Sarcasm?

Xinyu Wang, Yue Zhang