activity
20212026
collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Counterfactual Attention Policy Distillation for Temporal Video Grounding

Shaobo Ju, Haiyang Yu, Xuecheng Wu +6

Temporal video grounding is a key capability of advanced Multimodal Large Language Models (MLLMs) for the thorough understanding of video events, which is however often limited by…

cs.CV2026

ACPruner: Visual Token Pruning as Biased Attention Coverage Maximization in LVLMs

Xu Li, Yuxuan Liang, Yi Zheng +6

Large Vision-Language Models (LVLMs) face significant computational inefficiencies caused by the large number of visual tokens. Existing visual token pruning methods mainly focus o…

cs.CV2025

Beyond Task-Specific Reasoning: A Unified Conditional Generative Framework for Abstract Visual Reasoning

Fan Shi, Bin Li, Xiangyang Xue

Abstract visual reasoning (AVR) enables humans to quickly discover and generalize abstract rules to new scenarios. Designing intelligent systems with human-like AVR abilities has b…

cs.CV2025

CoLa: Chinese Character Decomposition with Compositional Latent Components

Fan Shi, Haiyang Yu, Bin Li +1

Humans can decompose Chinese characters into compositional components and recombine them to recognize unseen characters. This reflects two cognitive principles: Compositionality, t…

cs.CV2022

Compositional Law Parsing with Latent Random Functions

Fan Shi, Bin Li, Xiangyang Xue

Human cognition has compositionality. We understand a scene by decomposing the scene into different concepts (e.g., shape and position of an object) and learning the respective law…