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20242026
most citedBenchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook

4 citations · 4 across the 9 of their papers we have counts for

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cs.CV2026

ULIFLOW: Unified Latent Human-Object Interaction Flow

Wenqi Cai, Chunzhi Gu, Weichen Zhou +5

Text-conditioned 3D human--object interaction (HOI) generation remains challenging because individually plausible human and object motions do not necessarily form a coherent intera…

cs.CV2026

World2Motion: Turning Video World Models into 3D Human Motion Generators

Fangyuan Tu, Tu Fangyuan, Xiangyue Zhang +9

We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While existing 3D motion generators l…

cs.CV2026

Seeing is not Enough: Vision-Language Models Perceive Evidence but Fail to Act

Yuyang Dai, Bofei Huang, Hongbo Zhang +1

Vision-language models (VLMs) perform strongly on visual question answering benchmarks, yet often make decisions that contradict visual evidence they have already identified correc…

cs.CV2026

SkelGen4D: Weakly-Supervised Skeleton-Based 4D Generation for Text-Driven Mesh Animation

Hao Feng, Zhi Zuo, Jia-Hui Pan +6

We study 4D generation to synthesize temporally coherent sequences of 3D geometry for animation and content creation. In contrast to existing SDS-based optimization methods and vid…

cs.CV2025★ 4 cited

Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook

Yuan Ma, Junlin Hou, Chao Zhang +4

Learning from noisy labels remains a major challenge in medical image analysis, where annotation demands expert knowledge and substantial inter-observer variability often leads to…

cs.CV2024

MicroGlam: Microscopic Skin Image Dataset with Cosmetics

Toby Chong, Alina Chadwick, I-chao Shen +2

In this paper, we present a cosmetic-specific skin image dataset. It consists of skin images from patches ( skin patches each from participants) of size unde…