Search Results for author: Pabitra Mitra

Found 34 papers, 8 papers with code

Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance

no code implementations17 Mar 2024 Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra, BISWAJIT BASU

We prune recurrent networks such as RNNs and LSTMs, maintaining a large spectral gap of the underlying graphs and ensuring their layerwise expansion properties.

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

no code implementations1 Aug 2022 Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra

In this paper, as a separate case study, we demonstrate that a DL model secured with differential privacy (a popular countermeasure against MIA) is still vulnerable to MIA against an adversary exploiting Class Leakage.

Benchmarking Image Classification +2

Revisiting the Lottery Ticket Hypothesis: A Ramanujan Graph Perspective

no code implementations29 Sep 2021 BITHIKA PAL, Arindam Biswas, Pabitra Mitra, BISWAJIT BASU

Subsequently, with the loss of Ramanujan graph property, accuracy begins to reduce sharply.

Tessellated 2D Convolution Networks: A Robust Defence against Adversarial Attacks

no code implementations29 Sep 2021 Swarnava Das, Pabitra Mitra, Debasis Ganguly

This means that an adversarial crafted image which is sufficiently close (visually indistinguishable) to its representative class can often be misclassified to be a member of a different class.

Image Classification

Alternating Direction Method of Multipliers for Quantization

no code implementations8 Sep 2020 Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn

For such optimization problems, we study the performance of the Alternating Direction Method of Multipliers for Quantization ($\texttt{ADMM-Q}$) algorithm, which is a variant of the widely-used ADMM method applied to our discrete optimization problem.

Quantization

ExTra: Transfer-guided Exploration

no code implementations27 Jun 2019 Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra

Given an optimal policy in a related task-environment, we show that its bisimulation distance from the current task-environment gives a lower bound on the optimal advantage of state-action pairs in the current task-environment.

PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images

1 code implementation Submitted to ACMMM-2019 2019 Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra

In order to address these issues, we aim to develop a framework for material-agnostic information retrieval in hyperspectral images based on Positive-Unlabelled (PU) classification.

Classification General Classification +3

Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks

no code implementations21 Jan 2019 Debarghya China, Pabitra Mitra, Debdoot Sheet

Coronary artery disease accounts for a large number of deaths across the world and clinicians generally prefer using x-ray computed tomography or magnetic resonance imaging for localizing vascular pathologies.

SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes

1 code implementation21 Jan 2019 Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet

Ultrasound imaging is generally employed for real-time investigation of internal anatomy of the human body for disease identification.

Anatomy Decoder +1

Visual Attention for Behavioral Cloning in Autonomous Driving

no code implementations5 Dec 2018 Sourav Pal, Tharun Mohandoss, Pabitra Mitra

The first method is a supervised learning approach in which we collect eye-gaze data for the task of driving and use this to train a model for predicting the attention map.

Autonomous Driving

An LSTM-CRF Based Approach to Token-Level Metaphor Detection

no code implementations WS 2018 Malay Pramanick, Ashim Gupta, Pabitra Mitra

In this paper, we propose a method for detection of metaphors at the token level using a hybrid model of Bidirectional-LSTM and CRF.

Machine Translation

Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network

1 code implementation16 Nov 2017 Avisek Lahiri, Arnav Jain, Prabir Kumar Biswas, Pabitra Mitra

Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions.

Generative Adversarial Network Image Inpainting

Sentence Alignment using Unfolding Recursive Autoencoders

no code implementations WS 2017 Jeenu Grover, Pabitra Mitra

In this paper, we propose a novel two step algorithm for sentence alignment in monolingual corpora using Unfolding Recursive Autoencoders.

Information Retrieval Machine Translation +4

Recurrent Memory Addressing for describing videos

no code implementations20 Nov 2016 Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra

In this paper, we introduce Key-Value Memory Networks to a multimodal setting and a novel key-addressing mechanism to deal with sequence-to-sequence models.

Video Captioning

WEPSAM: Weakly Pre-Learnt Saliency Model

no code implementations3 May 2016 Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas

Recent thrust in saliency prediction research is to learn high level semantics using ground truth eye fixation datasets.

Saliency Prediction

Visual saliency detection: a Kalman filter based approach

no code implementations17 Apr 2016 Sourya Roy, Pabitra Mitra

In this paper we propose a Kalman filter aided saliency detection model which is based on the conjecture that salient regions are considerably different from our "visual expectation" or they are "visually surprising" in nature.

Saliency Prediction

Visualization Regularizers for Neural Network based Image Recognition

2 code implementations10 Apr 2016 Biswajit Paria, Vikas Reddy, Anirban Santara, Pabitra Mitra

The success of deep neural networks is mostly due their ability to learn meaningful features from the data.

General Classification

Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images

1 code implementation15 Mar 2016 Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet

In this work we present a computational imaging framework using deep and ensemble learning for reliable detection of blood vessels in fundus color images.

Ensemble Learning Vessel Detection

A dense subgraph based algorithm for compact salient image region detection

1 code implementation20 Nov 2015 Souradeep Chakraborty, Pabitra Mitra

We present an algorithm for graph based saliency computation that utilizes the underlying dense subgraphs in finding visually salient regions in an image.

Few-Shot Semantic Segmentation

Trapezoidal Fuzzy Numbers for the Transportation Problem

no code implementations7 Jul 2013 Arindam Chaudhuri, Kajal De, Dipak Chatterjee, Pabitra Mitra

The multivalued nature of Fuzzy Sets allows handling of uncertainty and vagueness involved in the cost values of each cells in the transportation table.

Cannot find the paper you are looking for? You can Submit a new open access paper.