activity
20232026
most citedChart4Blind: An Intelligent Interface for Chart Accessibility Conversion

24 citations · 35 across the 32 of their papers we have counts for

collaborators

32 papers

cs.RO2026

Hand-centric Human-to-Robot Trajectory Transfer from Video Demonstrations via Object Category-agnostic Temporal Localization

Yitian Shi, Di Wen, Zhengqi Han +6

Human videos provide a scalable source of demonstrations for robot imitation learning. However, converting them into executable and semantically aligned robot trajectories requires…

cs.CV2026

Multi-modal Video Representation Alignment for Robust Self-supervised Driver Distraction Detection

David J. Lerch, Livien Majer, Zeyun Zhong +3

Robust self-supervised learning of multi-modal video representations is critical for real-world applications such as driver distraction detection, where multiple sensors provide co…

cs.CV2026

Vision-language Models for Driver Monitoring Systems: A Driver Activity Description Dataset

David J. Lerch, Sarath Mulugurthi, Manuel Martin +2

Understanding subtle driver actions is essential for building reliable driver monitoring systems. Existing visionlanguage models (VLMs) are trained on general datasets and struggle…

cs.CV2025

CHAOS: Chart Analysis with Outlier Samples

Omar Moured, Yufan Chen, Ruiping Liu +4

Charts play a critical role in data analysis and visualization, yet real-world applications often present charts with challenging or noisy features. However, "outlier charts" pose…

cs.CV2025

Scene-agnostic Pose Regression for Visual Localization

Junwei Zheng, Ruiping Liu, Yufan Chen +4

Absolute Pose Regression (APR) predicts 6D camera poses but lacks the adaptability to unknown environments without retraining, while Relative Pose Regression (RPR) generalizes bett…

cs.CV2025

RefChartQA: Grounding Visual Answer on Chart Images through Instruction Tuning

Alexander Vogel, Omar Moured, Yufan Chen +2

Recently, Vision Language Models (VLMs) have increasingly emphasized document visual grounding to achieve better human-computer interaction, accessibility, and detailed understandi…