4 citations · 8 across the 9 of their papers we have counts for
9 papers
Proposal-based Temporal Action Localization with Point-level Supervision
Yuan Yin, Yifei Huang, Ryosuke Furuta +1
Point-level supervised temporal action localization (PTAL) aims at recognizing and localizing actions in untrimmed videos where only a single point (frame) within every action inst…
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
Mingfang Zhang, Jinglu Wang, Xiao Li +3
The Multiplane Image (MPI), containing a set of fronto-parallel RGBA layers, is an effective and efficient representation for view synthesis from sparse inputs. Yet, its fixed stru…
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
Zecheng Yu, Yifei Huang, Ryosuke Furuta +3
Object affordance is an important concept in hand-object interaction, providing information on action possibilities based on human motor capacity and objects' physical property thu…
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…
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…
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…
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…
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…
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Yifei Huang, Xiaoxiao Li, Lijin Yang +6
The human gaze is a cost-efficient physiological data that reveals human underlying attentional patterns. The selective attention mechanism helps the cognition system focus on task…