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20242026
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cs.CV2026

Query-Guided Spatial-Temporal-Frequency Interaction for Music Audio-Visual Question Answering

Kun Li, Michael Ying Yang, Sami Sebastian Brandt

Audio--Visual Question Answering (AVQA) is a challenging multimodal task that requires jointly reasoning over audio, visual, and textual information in a given video to answer natu…

cs.CV2025

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models

Mingjie Xu, Jinpeng Chen, Yuzhi Zhao +12

Multimodal large language models (MLLMs) have enabled a wide range of advanced vision-language applications, including fine-grained object recognition and contextual understanding.…

cs.CV2025

MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation

Qian Liang, Yujia Wu, Kuncheng Li +4

Multimodal Large Language Models (MLLMs) with unified architectures excel across a wide range of vision-language tasks, yet aligning them with personalized image generation remains…

cs.CV2025

Multimodal Rationales for Explainable Visual Question Answering

Kun Li, George Vosselman, Michael Ying Yang

Visual Question Answering (VQA) is a challenging task of predicting the answer to a question about the content of an image. Prior works directly evaluate the answering models by si…

cs.CV2025

Scale-wise Bidirectional Alignment Network for Referring Remote Sensing Image Segmentation

Kun Li, George Vosselman, Michael Ying Yang

The goal of referring remote sensing image segmentation (RRSIS) is to extract specific pixel-level regions within an aerial image via a natural language expression. Recent advancem…