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10/06/2022
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence
Existing pipelines of semantic correspondence commonly include extractin...
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10/01/2022
Contour-Aware Equipotential Learning for Semantic Segmentation
With increasing demands for high-quality semantic segmentation in the in...
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09/06/2022
Sequential Cross Attention Based Multi-task Learning
In multi-task learning (MTL) for visual scene understanding, it is cruci...
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07/27/2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
Online stereo adaptation tackles the domain shift problem, caused by dif...
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04/07/2022
Pin the Memory: Learning to Generalize Semantic Segmentation
The rise of deep neural networks has led to several breakthroughs for se...
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10/22/2021
DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
This manual is intended to provide a detailed description of the DIML/CV...
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08/31/2021
Self-balanced Learning For Domain Generalization
Domain generalization aims to learn a prediction model on multi-domain s...
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01/02/2021
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation
Stereo matching is one of the most popular techniques to estimate dense ...
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09/27/2020
Adaptive confidence thresholding for semi-supervised monocular depth estimation
Self-supervised monocular depth estimation has become an appealing solut...
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10/02/2019
Joint Learning of Semantic Alignment and Object Landmark Detection
Convolutional neural networks (CNNs) based approaches for semantic align...
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04/23/2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation
The recent advance of monocular depth estimation is largely based on dee...
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04/05/2019
Semantic Attribute Matching Networks
We present semantic attribute matching networks (SAM-Net) for jointly es...
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10/29/2018
Recurrent Transformer Networks for Semantic Correspondence
We present recurrent transformer networks (RTNs) for obtaining dense cor...
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07/09/2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Estimation
This paper presents a deep architecture for dense semantic correspondenc...
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07/18/2017
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
Techniques for dense semantic correspondence have provided limited abili...
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02/03/2017
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
We present a descriptor, called fully convolutional self-similarity (FCS...
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12/20/2016
Deeply Aggregated Alternating Minimization for Image Restoration
Regularization-based image restoration has remained an active research t...
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04/27/2016
DASC: Robust Dense Descriptor for Multi-modal and Multi-spectral Correspondence Estimation
Establishing dense correspondences between multiple images is a fundamen...
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04/26/2016
Efficient Splitting-based Method for Global Image Smoothing
Edge-preserving smoothing (EPS) can be formulated as minimizing an objec...
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03/21/2016