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

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

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Showing 2021Show all

5 papers · 1 filter

cs.CV2021

NAS-FCOS: Efficient Search for Object Detection Architectures

Ning Wang, Yang Gao, Hao Chen +4

Neural Architecture Search (NAS) has shown great potential in effectively reducing manual effort in network design by automatically discovering optimal architectures. What is notew…

cs.CV2021★ 20 cited

ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting

Yuliang Liu, Chunhua Shen, Lianwen Jin +4

End-to-end text-spotting, which aims to integrate detection and recognition in a unified framework, has attracted increasing attention due to its simplicity of the two complimentar…

cs.CV2021★ 1 cited

Generic Perceptual Loss for Modeling Structured Output Dependencies

Yifan Liu, Hao Chen, Yu Chen +2

The perceptual loss has been widely used as an effective loss term in image synthesis tasks including image super-resolution, and style transfer. It was believed that the success l…

cs.CV2021★ 4 cited

Instance and Panoptic Segmentation Using Conditional Convolutions

Zhi Tian, Bowen Zhang, Hao Chen +1

We propose a simple yet effective framework for instance and panoptic segmentation, termed CondInst (conditional convolutions for instance and panoptic segmentation). In the litera…

eess.SY2021★ 1 cited

Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

Hu Wang, Hao Chen, Qi Wu +3

The control of traffic signals is fundamental and critical to alleviate traffic congestion in urban areas. However, it is challenging since traffic dynamics are complicated in real…