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20192026
most citedLearning Invariance from Generated Variance for Unsupervised Person Re-identification

41 citations · 143 across the 26 of their papers we have counts for

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Showing 2021 · cs.CVShow all

5 papers · 2 filters

cs.CV2021★ 24 cited

UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition

Di Yang, Yaohui Wang, Antitza Dantcheva +3

Action recognition based on skeleton data has recently witnessed increasing attention and progress. State-of-the-art approaches adopting Graph Convolutional networks (GCNs) can eff…

cs.CV2021★ 13 cited

Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning

Indu Joshi, Ayush Utkarsh, Riya Kothari +4

A fingerprint region of interest (roi) segmentation algorithm is designed to separate the foreground fingerprint from the background noise. All the learning based state-of-the-art…

cs.CV2021

Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprints

Indu Joshi, Ayush Utkarsh, Riya Kothari +4

The effectiveness of fingerprint-based authentication systems on good quality fingerprints is established long back. However, the performance of standard fingerprint matching syste…

cs.CV2021

How Unique Is a Face: An Investigative Study

Michal Balazia, S L Happy, Francois Bremond +1

Face recognition has been widely accepted as a means of identification in applications ranging from border control to security in the banking sector. Surprisingly, while widely acc…

cs.CV2021★ 17 cited

InMoDeGAN: Interpretable Motion Decomposition Generative Adversarial Network for Video Generation

Yaohui Wang, Francois Bremond, Antitza Dantcheva

In this work, we introduce an unconditional video generative model, InMoDeGAN, targeted to (a) generate high quality videos, as well as to (b) allow for interpretation of the laten…