activity
20152022
most citedDecoupling Features in Hierarchical Propagation for Video Object Segmentation

51 citations · 95 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2022★ 51 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.CV2020★ 3 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★ 1 cited

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★ 4 cited

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.CV2017★ 18 cited

Dynamic Computational Time for Visual Attention

Zhichao Li, Yi Yang, Xiao Liu +3

We propose a dynamic computational time model to accelerate the average processing time for recurrent visual attention (RAM). Rather than attention with a fixed number of steps for…