6 papers
VideoTemp-o3: Harmonizing Temporal Grounding and Video Understanding in Agentic Thinking-with-Videos
Wenqi Liu, Yunxiao Wang, Shijie Ma +14
In long-video understanding, conventional uniform frame sampling often fails to capture key visual evidence, leading to degraded performance and increased hallucinations. To addres…
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
Zhiwei Chen, Yupeng Hu, Zhiheng Fu +4
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm that enables to retrieve target images based on multimodal queries consisting of reference images and modif…
HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen +4
Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference im…
HINT: Composed Image Retrieval with Dual-path Compositional Contextualized Network
Mingyu Zhang, Zixu Li, Zhiwei Chen +5
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm. It aims to retrieve target images from large-scale image databases that are consistent with the modificati…
Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space
Chao Chen, Zhixin Ma, Yongqi Li +4
Multimodal reasoning aims to enhance the capabilities of MLLMs by incorporating intermediate reasoning steps before reaching the final answer. It has evolved from text-only reasoni…
MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind
Yanlin Li, Hao Liu, Huimin Liu +3
Theory of Mind (ToM) in Large Language Models (LLMs) refers to the model's ability to infer the mental states of others, with failures in this ability often manifesting as systemic…