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20232026
most citedFollow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

3 citations · 6 across the 10 of their papers we have counts for

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cs.CV2026

Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models

Jiaxi Yang, Shicheng Liu, Yuchen Yang +1

With the rapid advancement of Vision Language Models (VLMs), refusal mechanisms have become a critical component for ensuring responsible and safe model behavior. However, existing…

cs.CV2025

MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces

Shaojun E, Yuchen Yang, Jiaheng Wu +3

In the latest advancements in multimodal learning, effectively addressing the spatial and semantic losses of visual data after encoding remains a critical challenge. This is becaus…

cs.CV2024

HAUR: Human Annotation Understanding and Recognition Through Text-Heavy Images

Yuchen Yang, Haoran Yan, Yanhao Chen +2

Vision Question Answering (VQA) tasks use images to convey critical information to answer text-based questions, which is one of the most common forms of question answering in real-…

cs.CV2024★ 3 cited

Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

Yuchen Yang, Kwonjoon Lee, Behzad Dariush +2

Video Anomaly Detection (VAD) is crucial for applications such as security surveillance and autonomous driving. However, existing VAD methods provide little rationale behind detect…

cs.CV2024

Towards Scale-Aware Full Surround Monodepth with Transformers

Yuchen Yang, Xinyi Wang, Dong Li +3

Full surround monodepth (FSM) methods can learn from multiple camera views simultaneously in a self-supervised manner to predict the scale-aware depth, which is more practical for…