activity
20182023
most citedDeep High-Resolution Representation Learning for Visual Recognition

351 citations · 1.1k across the 28 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

eess.IV2019★ 64 cited

Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC

Weiyao Lin, Xiaoyi He, Xintong Han +5

This paper addresses neural network based post-processing for the state-of-the-art video coding standard, High Efficiency Video Coding (HEVC). We first propose a partition-aware Co…

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

Is Heuristic Sampling Necessary in Training Deep Object Detectors?

Joya Chen, Dong Liu, Tong Xu +3

To train accurate deep object detectors under the extreme foreground-background imbalance, heuristic sampling methods are always necessary, which either re-sample a subset of all t…

cs.CV2019★ 12 cited

Customizable Architecture Search for Semantic Segmentation

Yiheng Zhang, Zhaofan Qiu, Jingen Liu +3

In this paper, we propose a Customizable Architecture Search (CAS) approach to automatically generate a network architecture for semantic image segmentation. The generated network…

cs.CV2019★ 2 cited

Residual Objectness for Imbalance Reduction

Joya Chen, Dong Liu, Bin Luo +3

For a long time, object detectors have suffered from extreme imbalance between foregrounds and backgrounds. While several sampling/reweighting schemes have been explored to allevia…

cs.CV2019★ 351 cited

Deep High-Resolution Representation Learning for Visual Recognition

Jingdong Wang, Ke Sun, Tianheng Cheng +9

High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection. Existing state-of-…

cs.CV2019★ 44 cited

Two-Stream Action Recognition-Oriented Video Super-Resolution

Haochen Zhang, Dong Liu, Zhiwei Xiong

We study the video super-resolution (SR) problem for facilitating video analytics tasks, e.g. action recognition, instead of for visual quality. The popular action recognition meth…