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20212023
most citedLeveraging Human Selective Attention for Medical Image Analysis with Limited Training Data

4 citations · 8 across the 9 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022

ClipCrop: Conditioned Cropping Driven by Vision-Language Model

Zhihang Zhong, Mingxi Cheng, Zhirong Wu +7

Image cropping has progressed tremendously under the data-driven paradigm. However, current approaches do not account for the intentions of the user, which is an issue especially w…

cs.CV2022★ 2 cited

Surgical Skill Assessment via Video Semantic Aggregation

Zhenqiang Li, Lin Gu, Weimin Wang +2

Automated video-based assessment of surgical skills is a promising task in assisting young surgical trainees, especially in poor-resource areas. Existing works often resort to a CN…

cs.CV2022

Compound Prototype Matching for Few-shot Action Recognition

Yifei Huang, Lijin Yang, Yoichi Sato

Few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. In this work, we propose a novel approach that first summa…

cs.CV2022

Precise Affordance Annotation for Egocentric Action Video Datasets

Zecheng Yu, Yifei Huang, Ryosuke Furuta +3

Object affordance is an important concept in human-object interaction, providing information on action possibilities based on human motor capacity and objects' physical property th…

cs.CV2022★ 1 cited

Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey

Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato

In this survey, we present a systematic review of 3D hand pose estimation from the perspective of efficient annotation and learning. 3D hand pose estimation has been an important r…