activity
20182023
most citedFCOS: Fully Convolutional One-Stage Object Detection

802 citations · 1.3k across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 3 cited

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection

Yuliang Liu, Tong He, Hao Chen +5

Multi-orientation scene text detection has recently gained significant research attention. Previous methods directly predict words or text lines, typically by using quadrilateral s…

cs.CV2019★ 81 cited

DirectPose: Direct End-to-End Multi-Person Pose Estimation

Zhi Tian, Hao Chen, Chunhua Shen

We propose the first direct end-to-end multi-person pose estimation framework, termed DirectPose. Inspired by recent anchor-free object detectors, which directly regress the two co…

cs.CV2019★ 2 cited

Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising

Haokui Zhang, Ying Li, Hao Chen +1

Recently, neural architecture search (NAS) methods have attracted much attention and outperformed manually designed architectures on a few high-level vision tasks. In this paper, w…

cs.CV2019★ 6 cited

Auxiliary Learning for Deep Multi-task Learning

Yifan Liu, Bohan Zhuang, Chunhua Shen +2

Multi-task learning (MTL) is an efficient solution to solve multiple tasks simultaneously in order to get better speed and performance than handling each single-task in turn. The m…

cs.CV2019★ 23 cited

NAS-FCOS: Fast Neural Architecture Search for Object Detection

Ning Wang, Yang Gao, Hao Chen +4

The success of deep neural networks relies on significant architecture engineering. Recently neural architecture search (NAS) has emerged as a promise to greatly reduce manual effo…

cs.CV2019

Architecture Search of Dynamic Cells for Semantic Video Segmentation

Vladimir Nekrasov, Hao Chen, Chunhua Shen +1

In semantic video segmentation the goal is to acquire consistent dense semantic labelling across image frames. To this end, recent approaches have been reliant on manually arranged…