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08/28/2023
LAC: Latent Action Composition for Skeleton-based Action Segmentation
Skeleton-based action segmentation requires recognizing composable actio...
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08/25/2023
Attending Generalizability in Course of Deep Fake Detection by Exploring Multi-task Learning
This work explores various ways of exploring multi-task learning (MTL) t...
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05/10/2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-supervised video representation learning aimed at maximizing simila...
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05/06/2023
LEO: Generative Latent Image Animator for Human Video Synthesis
Spatio-temporal coherency is a major challenge in synthesizing high qual...
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01/02/2023
Learning Invariance from Generated Variance for Unsupervised Person Re-identification
This work focuses on unsupervised representation learning in person re-i...
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08/31/2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation le...
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08/19/2022
Synthetic Data in Human Analysis: A Survey
Deep neural networks have become prevalent in human analysis, boosting t...
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03/17/2022
Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Due to the remarkable progress of deep generative models, animating imag...
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01/12/2022
Beyond the Visible: A Survey on Cross-spectral Face Recognition
Cross-spectral face recognition (CFR) is aimed at recognizing individual...
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07/19/2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Action recognition based on skeleton data has recently witnessed increas...
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07/03/2021
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning
A fingerprint region of interest (roi) segmentation algorithm is designe...
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07/02/2021
Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints
The effectiveness of fingerprint-based authentication systems on good qu...
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02/09/2021
How Unique Is a Face: An Investigative Study
Face recognition has been widely accepted as a means of identification i...
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01/08/2021
InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation
In this work, we introduce an unconditional video generative model, InMo...
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12/16/2020
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Annotating identity labels in large-scale datasets is a labour-intensive...
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03/26/2020
The 1st Challenge on Remote Physiological Signal Sensing (RePSS)
Remote measurement of physiological signals from videos is an emerging t...
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12/11/2019