activity
20232026
most citedOpen X-Embodiment: Robotic Learning Datasets and RT-X Models

103 citations · 120 across the 63 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

JMed48k: A Multi-Profession Japanese Medical Licensing Benchmark for Vision-Language Model Evaluation

Yue Xun, Junyu Liu, Qian Niu +10

We introduce JMed48k, a multi-profession Japanese healthcare licensing benchmark for evaluating vision-language models. Built from official PDF materials released by the Japanese M…

cs.CV2026

E3VS-Bench: A Benchmark for Viewpoint-Dependent Active Perception in 3D Gaussian Splatting Scenes

Koya Sakamoto, Taiki Miyanishi, Daichi Azuma +6

Visual search in 3D environments requires embodied agents to actively explore their surroundings and acquire task-relevant evidence. However, existing visual search and embodied AI…

cs.CV2026

Towards High-resolution and Disentangled Reference-based Sketch Colorization

Dingkun Yan, Xinrui Wang, Ru Wang +5

Sketch colorization is a critical task for automating and assisting in the creation of animations and digital illustrations. Previous research identified the primary difficulty as…

cs.CV2025

Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models

Bum Jun Kim, Makoto Kawano, Yusuke Iwasawa +1

While the robustness of vision models is often measured, their dependence on specific architectural design choices is rarely dissected. We investigate why certain vision architectu…

cs.CV2025

ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities

Dingkun Yan, Xinrui Wang, Yusuke Iwasawa +3

Reference-based sketch colorization methods have garnered significant attention due to their potential applications in the animation production industry. However, most existing met…

cs.CV2025

Image Referenced Sketch Colorization Based on Animation Creation Workflow

Dingkun Yan, Xinrui Wang, Zhuoru Li +4

Sketch colorization plays an important role in animation and digital illustration production tasks. However, existing methods still meet problems in that text-guided methods fail t…