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20152022
most citedDecoupling Features in Hierarchical Propagation for Video Object Segmentation

51 citations · 72 across the 3 of their papers we have counts for

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6 papers · 1 filter

cs.CV202251 cited

Decoupling Features in Hierarchical Propagation for Video Object Segmentation

Zongxin Yang, Yi Yang

This paper focuses on developing a more effective method of hierarchical propagation for semi-supervised Video Object Segmentation (VOS). Based on vision transformers, the recently…

cs.CV20203 cited

Dynamic Inference: A New Approach Toward Efficient Video Action Recognition

Wenhao Wu, Dongliang He, Xiao Tan +3

Though action recognition in videos has achieved great success recently, it remains a challenging task due to the massive computational cost. Designing lightweight networks is a po…

cs.CV2019

Recognizing Part Attributes with Insufficient Data

Xiangyun Zhao, Yi Yang, Feng Zhou +4

Recognizing attributes of objects and their parts is important to many computer vision applications. Although great progress has been made to apply object-level recognition, recogn…

cs.CV2018

Improving Annotation for 3D Pose Dataset of Fine-Grained Object Categories

Yaming Wang, Xiao Tan, Yi Yang +4

Existing 3D pose datasets of object categories are limited to generic object types and lack of fine-grained information. In this work, we introduce a new large-scale dataset that c…

cs.CV2018

3D Pose Estimation for Fine-Grained Object Categories

Yaming Wang, Xiao Tan, Yi Yang +4

Existing object pose estimation datasets are related to generic object types and there is so far no dataset for fine-grained object categories. In this work, we introduce a new lar…

cs.CV201518 cited

Depth-based hand pose estimation: methods, data, and challenges

James Steven Supancic, Gregory Rogez, Yi Yang +2

Hand pose estimation has matured rapidly in recent years. The introduction of commodity depth sensors and a multitude of practical applications have spurred new advances. We provid…