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20232026
most citedMFair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method

3 citations · 9 across the 16 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household Task

Xiaoya Lu, Yijin Zhou, Zeren Chen +6

Vision-Language Models (VLMs) empower embodied agents to execute complex instructions, yet they remain vulnerable to contextual safety risks where benign commands become hazardous…

cs.CV2025

Towards Cross-View Point Correspondence in Vision-Language Models

Yipu Wang, Yuheng Ji, Yuyang Liu +10

Cross-view correspondence is a fundamental capability for spatial understanding and embodied AI. However, it is still far from being realized in Vision-Language Models (VLMs), espe…

cs.CV2025

MathSticks: A Benchmark for Visual Symbolic Compositional Reasoning with Matchstick Puzzles

Yuheng Ji, Huajie Tan, Cheng Chi +8

We introduce \textsc{MathSticks}, a benchmark for Visual Symbolic Compositional Reasoning (VSCR), which unifies visual perception, symbolic manipulation, and arithmetic consistency…

cs.CV2024★ 2 cited

WorldSimBench: Towards Video Generation Models as World Simulators

Yiran Qin, Zhelun Shi, Jiwen Yu +10

Recent advancements in predictive models have demonstrated exceptional capabilities in predicting the future state of objects and scenes. However, the lack of categorization based…

cs.CV2024★ 2 cited

MineDreamer: Learning to Follow Instructions via Chain-of-Imagination for Simulated-World Control

Enshen Zhou, Yiran Qin, Zhenfei Yin +5

It is a long-lasting goal to design a generalist-embodied agent that can follow diverse instructions in human-like ways. However, existing approaches often fail to steadily follow…

cs.CV2023★ 1 cited

MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception

Yiran Qin, Enshen Zhou, Qichang Liu +5

It is a long-lasting goal to design an embodied system that can solve long-horizon open-world tasks in human-like ways. However, existing approaches usually struggle with compound…