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20192026
most citedAnalysing Deep Reinforcement Learning Agents Trained with Domain Randomisation

22 citations · 58 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022★ 11 cited

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw +85

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conj…

cs.CV2021

Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection

Guangyu Ren, Yanchu Xie, Tianhong Dai +1

Salient object detection(SOD) aims at locating the most significant object within a given image. In recent years, great progress has been made in applying SOD on many vision tasks.…

cs.CV2020

Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network

Guangyu Ren, Tianhong Dai, Panagiotis Barmpoutis +1

Salient object detection has achieved great improvement by using the Fully Convolution Network (FCN). However, the FCN-based U-shape architecture may cause the dilution problem in…

cs.CV2019★ 2 cited

Coupled Network for Robust Pedestrian Detection with Gated Multi-Layer Feature Extraction and Deformable Occlusion Handling

Tianrui Liu, Wenhan Luo, Lin Ma +3

Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, detecting small-scaled pedestrians and occlu…

cs.CV2019★ 3 cited

Gated Multi-layer Convolutional Feature Extraction Network for Robust Pedestrian Detection

Tianrui Liu, Jun-Jie Huang, Tianhong Dai +2

Pedestrian detection methods have been significantly improved with the development of deep convolutional neural networks. Nevertheless, robustly detecting pedestrians with a large…