13 citations · 49 across the 57 of their papers we have counts for
10 papers · 1 filter
Synthetic Image Detection: Highlights from the IEEE Video and Image Processing Cup 2022 Student Competition
Davide Cozzolino, Koki Nagano, Lucas Thomaz +2
The Video and Image Processing (VIP) Cup is a student competition that takes place each year at the IEEE International Conference on Image Processing. The 2022 IEEE VIP Cup asked u…
Discriminative Autoencoder for Feature Extraction: Application to Character Recognition
Anupriya Gogna, Angshul Majumdar
Conventionally, autoencoders are unsupervised representation learning tools. In this work, we propose a novel discriminative autoencoder. Use of supervised discriminative learning…
Kernel Transform Learning
Jyoti Maggu, Angshul Majumdar
This work proposes kernel transform learning. The idea of dictionary learning is well known; it is a synthesis formulation where a basis is learnt along with the coefficients so as…
Motion Blur removal via Coupled Autoencoder
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
In this paper a joint optimization technique has been proposed for coupled autoencoder which learns the autoencoder weights and coupling map (between source and target) simultaneou…
Coupled Analysis Dictionary Learning to inductively learn inversion: Application to real-time reconstruction of Biomedical signals
Kavya Gupta, Brojeshwar Bhowmick, Angshul Majumdar
This work addresses the problem of reconstructing biomedical signals from their lower dimensional projections. Traditionally Compressed Sensing (CS) based techniques have been empl…
Hierarchical Representation Learning for Kinship Verification
Naman Kohli, Mayank Vatsa, Richa Singh +2
Kinship verification has a number of applications such as organizing large collections of images and recognizing resemblances among humans. In this research, first, a human study i…