activity
20192023
most citedTransformer-based Network for RGB-D Saliency Detection

6 citations · 12 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

The Second Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Michaela Trescakova +40

This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…

cs.CV2022

The Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Chris Russell +16

This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular…

cs.CV2022

A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation

Yiming Qian, James H. Elder

Linear perspectivecues deriving from regularities of the built environment can be used to recalibrate both intrinsic and extrinsic camera parameters online, but these estimates can…

cs.CV2021★ 6 cited

Transformer-based Network for RGB-D Saliency Detection

Yue Wang, Xu Jia, Lu Zhang +3

RGB-D saliency detection integrates information from both RGB images and depth maps to improve prediction of salient regions under challenging conditions. The key to RGB-D saliency…

cs.CV2021

Contrastive Learning for Sports Video: Unsupervised Player Classification

Maria Koshkina, Hemanth Pidaparthy, James H. Elder

We address the problem of unsupervised classification of players in a team sport according to their team affiliation, when jersey colours and design are not known a priori. We adop…

cs.CV2020★ 2 cited

Synergistic saliency and depth prediction for RGB-D saliency detection

Yue Wang, Yuke Li, James H. Elder +3

Depth information available from an RGB-D camera can be useful in segmenting salient objects when figure/ground cues from RGB channels are weak. This has motivated the development…