activity
20182023
most citedAIM 2020 Challenge on Learned Image Signal Processing Pipeline

16 citations · 75 across the 15 of their papers we have counts for

collaborators

15 papers

eess.IV2023★ 2 cited

On the Choice of Perception Loss Function for Learned Video Compression

Sadaf Salehkalaibar, Buu Phan, Jun Chen +2

We study causal, low-latency, sequential video compression when the output is subjected to both a mean squared-error (MSE) distortion loss as well as a perception loss to target re…

cs.CV2023★ 1 cited

SwinFSR: Stereo Image Super-Resolution using SwinIR and Frequency Domain Knowledge

Ke Chen, Liangyan Li, Huan Liu +3

Stereo Image Super-Resolution (stereoSR) has attracted significant attention in recent years due to the extensive deployment of dual cameras in mobile phones, autonomous vehicles a…

cs.CV2023★ 1 cited

A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer

Yangyi Liu, Huan Liu, Liangyan Li +2

Recent years have witnessed an increased interest in image dehazing. Many deep learning methods have been proposed to tackle this challenge, and have made significant accomplishmen…

cs.CV2023★ 7 cited

Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bank

Shirui Huang, Keyan Wang, Huan Liu +2

Despite the remarkable achievement of recent underwater image restoration techniques, the lack of labeled data has become a major hurdle for further progress. In this work, we prop…

cs.CV2021★ 2 cited

Video Frame Interpolation Transformer

Zhihao Shi, Xiangyu Xu, Xiaohong Liu +2

Existing methods for video interpolation heavily rely on deep convolution neural networks, and thus suffer from their intrinsic limitations, such as content-agnostic kernel weights…

cs.CV2021★ 5 cited

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network

Huan Liu, Junsong Yuan, Chen Wang +1

Despite recent improvement of supervised monocular depth estimation, the lack of high quality pixel-wise ground truth annotations has become a major hurdle for further progress. In…