activity
20182023
most citedSparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

For A More Comprehensive Evaluation of 6DoF Object Pose Tracking

Yang Li, Fan Zhong, Xin Wang +4

Previous evaluations on 6DoF object pose tracking have presented obvious limitations along with the development of this area. In particular, the evaluation protocols are not unifie…

cs.CV2023

Guided Linear Upsampling

Shuangbing Song, Fan Zhong, Tianju Wang +2

Guided upsampling is an effective approach for accelerating high-resolution image processing. In this paper, we propose a simple yet effective guided upsampling method. Each pixel…

cs.CV2022★ 1 cited

Large-displacement 3D Object Tracking with Hybrid Non-local Optimization

Xuhui Tian, Xinran Lin, Fan Zhong +1

Optimization-based 3D object tracking is known to be precise and fast, but sensitive to large inter-frame displacements. In this paper we propose a fast and effective non-local 3D…

cs.CV2022

BCOT: A Markerless High-Precision 3D Object Tracking Benchmark

Jiachen Li, Bin Wang, Shiqiang Zhu +6

Template-based 3D object tracking still lacks a high-precision benchmark of real scenes due to the difficulty of annotating the accurate 3D poses of real moving video objects witho…

cs.CV2018★ 3 cited

Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation

Jichao Zhang, Yezhi Shu, Songhua Xu +4

Recent Image-to-Image Translation algorithms have achieved significant progress in neural style transfer and image attribute manipulation tasks. However, existing approaches requir…