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20192022
most citedClass-Conditional Domain Adaptation on Semantic Segmentation

3 citations · 4 across the 3 of their papers we have counts for

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5 papers · 1 filter

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.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

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…

cs.CV20201 cited

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection

James H. Elder, Emilio J. Almazàn, Yiming Qian +1

Traditional approaches to line segment detection typically involve perceptual grouping in the image domain and/or global accumulation in the Hough domain. Here we propose a probabi…

cs.CV20193 cited

Class-Conditional Domain Adaptation on Semantic Segmentation

Yue Wang, Yuke Li, James H. Elder +2

Semantic segmentation is an important sub-task for many applications, but pixel-level ground truth labeling is costly and there is a tendency to overfit the training data, limiting…