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09/12/2023
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation
MRI is increasingly being used in the diagnosis of prostate cancer (PCa)...
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11/18/2022
Weighted Ensemble Self-Supervised Learning
Ensembling has proven to be a powerful technique for boosting model perf...
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04/06/2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification
We introduce LilNetX, an end-to-end trainable technique for neural netwo...
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04/26/2021
3D Scene Compression through Entropy Penalized Neural Representation Functions
Some forms of novel visual media enable the viewer to explore a 3D scene...
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09/12/2020
A Review on Cyber Crimes on the Internet of Things
Internet of Things (IoT) devices are rapidly becoming universal. The suc...
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08/26/2020
An Approximate Carry Estimating Simultaneous Adder with Rectification
Approximate computing has in recent times found significant applications...
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07/23/2020
End-to-end Learning of Compressible Features
Pre-trained convolutional neural networks (CNNs) are powerful off-the-sh...
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07/17/2020
Channel-wise Autoregressive Entropy Models for Learned Image Compression
In learning-based approaches to image compression, codecs are developed ...
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07/06/2020
Nonlinear Transform Coding
We review a class of methods that can be collected under the name nonlin...
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05/18/2020
Deep Implicit Volume Compression
We describe a novel approach for compressing truncated signed distance f...
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04/07/2020
PatchVAE: Learning Local Latent Codes for Recognition
Unsupervised representation learning holds the promise of exploiting lar...
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11/21/2019
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
Batch Normalization (BN) is a highly successful and widely used batch de...
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06/15/2019
Model Compression by Entropy Penalized Reparameterization
We describe an end-to-end neural network weight compression approach tha...
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04/12/2019
EvalNorm: Estimating Batch Normalization Statistics for Evaluation
Batch normalization (BN) has been very effective for deep learning and i...
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05/31/2018
Image-Dependent Local Entropy Models for Learned Image Compression
The leading approach for image compression with artificial neural networ...
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02/07/2018
Spatially adaptive image compression using a tiled deep network
Deep neural networks represent a powerful class of function approximator...
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02/01/2018
Variational image compression with a scale hyperprior
We describe an end-to-end trainable model for image compression based on...
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07/25/2017
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media
In this paper, we present a set of computational methods to identify the...
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07/10/2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
The success of deep learning in vision can be attributed to: (a) models ...
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05/18/2017
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks
We introduce a stop-code tolerant (SCT) approach to training recurrent c...
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04/02/2017
Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks
An important goal of computer vision is to build systems that learn visu...
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03/29/2017
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks
We propose a method for lossy image compression based on recurrent, conv...
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03/21/2017
No Fuss Distance Metric Learning using Proxies
We address the problem of distance metric learning (DML), defined as lea...
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03/15/2017
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media
Code-mixing or code-switching are the effortless phenomena of natural sw...
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05/20/2016
Swapout: Learning an ensemble of deep architectures
We describe Swapout, a new stochastic training method, that outperforms ...
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07/22/2015
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization
We present a simple deep learning framework to simultaneously predict ke...
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05/14/2012
