activity
20162024
most citedVideo Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

262 citations · 1.7k across the 63 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

eess.IV2019★ 22 cited

Single Image Deraining: From Model-Based to Data-Driven and Beyond

Wenhan Yang, Robby T. Tan, Shiqi Wang +2

The goal of single-image deraining is to restore the rain-free background scenes of an image degraded by rain streaks and rain accumulation. The early single-image deraining method…

eess.IV2019★ 95 cited

A Comprehensive Benchmark for Single Image Compression Artifacts Reduction

Jiaying Liu, Dong Liu, Wenhan Yang +3

We present a comprehensive study and evaluation of existing single image compression artifacts removal algorithms, using a new 4K resolution benchmark including diversified foregro…

cs.CV2019★ 12 cited

Unsupervised Image Noise Modeling with Self-Consistent GAN

Hanshu Yan, Xuan Chen, Vincent Y. F. Tan +3

Noise modeling lies in the heart of many image processing tasks. However, existing deep learning methods for noise modeling generally require clean and noisy image pairs for model…

cs.CV2019★ 2 cited

Deep Reference Generation with Multi-Domain Hierarchical Constraints for Inter Prediction

Jiaying Liu, Sifeng Xia, Wenhan Yang

Inter prediction is an important module in video coding for temporal redundancy removal, where similar reference blocks are searched from previously coded frames and employed to pr…

cs.CV2019★ 36 cited

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

cs.CV2019★ 63 cited

Bridging the Gap Between Computational Photography and Visual Recognition

Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster +21

What is the current state-of-the-art for image restoration and enhancement applied to degraded images acquired under less than ideal circumstances? Can the application of such algo…