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08/08/2023
Person Re-Identification without Identification via Event Anonymization
Wide-scale use of visual surveillance in public spaces puts individual p...
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03/07/2023
Guiding Pseudo-labels with Uncertainty Estimation for Test-Time Adaptation
Standard Unsupervised Domain Adaptation (UDA) methods assume the availab...
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02/21/2023
Self-improving object detection via disagreement reconciliation
Object detectors often experience a drop in performance when new environ...
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02/07/2023
Look around and learn: self-improving object detection by exploration
Object detectors often experience a drop in performance when new environ...
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04/21/2021
Lifting Monocular Events to 3D Human Poses
This paper presents a novel 3D human pose estimation approach using a si...
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11/03/2020
Single Image Human Proxemics Estimation for Visual Social Distancing
In this work, we address the problem of estimating the so-called "Social...
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04/28/2020
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Recent years have seen a surge in finding association between faces and ...
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04/20/2020
Complex-Object Visual Inspection via Multiple Lighting Configurations
The design of an automatic visual inspection system is usually performed...
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01/09/2020
Generative Pseudo-label Refinement for Unsupervised Domain Adaptation
We investigate and characterize the inherent resilience of conditional G...
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12/23/2019
DMCL: Distillation Multiple Choice Learning for Multimodal Action Recognition
In this work, we address the problem of learning an ensemble of speciali...
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08/27/2019
Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
Pedestrian attributes, e.g., hair length, clothes type and color, locall...
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04/16/2019
Audio-Visual Model Distillation Using Acoustic Images
In this paper, we investigate how to learn rich and robust feature repre...
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10/19/2018
Learning with privileged information via adversarial discriminative modality distillation
Heterogeneous data modalities can provide complementary cues for several...
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06/19/2018
Modality Distillation with Multiple Stream Networks for Action Recognition
Diverse input data modalities can provide complementary cues for several...
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05/23/2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
We propose a guided dropout regularizer for deep networks based on the e...
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11/28/2017
Scalable and Compact 3D Action Recognition with Approximated RBF Kernel Machines
Despite the recent deep learning (DL) revolution, kernel machines still ...
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11/28/2017
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
In this work, we face the problem of unsupervised domain adaptation with...
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11/23/2017
Adversarial Feature Augmentation for Unsupervised Domain Adaptation
Recent works showed that Generative Adversarial Networks (GANs) can be s...
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10/13/2017
Dropout as a Low-Rank Regularizer for Matrix Factorization
Regularization for matrix factorization (MF) and approximation problems ...
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09/06/2017
A Compact Kernel Approximation for 3D Action Recognition
3D action recognition was shown to benefit from a covariance representat...
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08/03/2017
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data
Human action recognition from skeletal data is a hot research topic and ...
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05/23/2017
Correlation Alignment by Riemannian Metric for Domain Adaptation
Domain adaptation techniques address the problem of reducing the sensiti...
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03/18/2017
Curriculum Dropout
Dropout is a very effective way of regularizing neural networks. Stochas...
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07/21/2016
Left/Right Hand Segmentation in Egocentric Videos
Wearable cameras allow people to record their daily activities from a us...
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09/04/2014
