activity
20202024
most citedFlow-Guided Sparse Transformer for Video Deblurring

22 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20243 cited

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

Xiaoning Liu, Zongwei Wu, Ao Li +109

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…

cs.CV2023

3D Face Arbitrary Style Transfer

Xiangwen Deng, Yingshuang Zou, Yuanhao Cai +6

Style transfer of 3D faces has gained more and more attention. However, previous methods mainly use images of artistic faces for style transfer while ignoring arbitrary style image…

cs.CV20224 cited

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Yuanhao Cai, Jing Lin, Zudi Lin +5

Existing leading methods for spectral reconstruction (SR) focus on designing deeper or wider convolutional neural networks (CNNs) to learn the end-to-end mapping from the RGB image…

eess.IV202222 cited

Flow-Guided Sparse Transformer for Video Deblurring

Jing Lin, Yuanhao Cai, Xiaowan Hu +7

Exploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring. However, CNN-based methods show limitations in capturing long-range…

cs.CV20201 cited

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations

Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai +6

In this paper, we propose an efficient human pose estimation network (DANet) by learning deeply aggregated representations. Most existing models explore multi-scale information mai…