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09/14/2023
Scalable Model-Based Gaussian Process Clustering
Gaussian process is an indispensable tool in clustering functional data,...
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09/10/2023
DAD++: Improved Data-free Test Time Adversarial Defense
With the increasing deployment of deep neural networks in safety-critica...
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05/31/2023
Federated Learning on Heterogeneous Data via Adaptive Self-Distillation
Federated Learning (FL) is a machine learning paradigm that enables clie...
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04/03/2023
A short note on the paper `Are Randomized Caches Really Random?'
In this paper, we analyse the results and claims presented in the paper ...
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03/15/2023
Query-guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch
In this work, we investigate the problem of sketch-based object localiza...
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12/01/2022
Multimodal Query-guided Object Localization
Consider a scenario in one-shot query-guided object localization where n...
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11/14/2022
Robustifying Deep Vision Models Through Shape Sensitization
Recent work has shown that deep vision models tend to be overly dependen...
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11/03/2022
Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing
This paper presents a framework for jointly grounding objects that follo...
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11/03/2022
Robust Few-shot Learning Without Using any Adversarial Samples
The high cost of acquiring and annotating samples has made the `few-shot...
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11/03/2022
Data-free Defense of Black Box Models Against Adversarial Attacks
Several companies often safeguard their trained deep models (i.e. detail...
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10/17/2022
DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers
Certified defense using randomized smoothing is a popular technique to p...
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05/05/2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Adversarial attack perturbs an image with an imperceptible noise, leadin...
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04/05/2022
Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Available 3D human pose estimation approaches leverage different forms o...
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04/04/2022
DAD: Data-free Adversarial Defense at Test Time
Deep models are highly susceptible to adversarial attacks. Such attacks ...
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03/29/2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
The advances in monocular 3D human pose estimation are dominated by supe...
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11/09/2021
MMD-ReID: A Simple but Effective Solution for Visible-Thermal Person ReID
Learning modality invariant features is central to the problem of Visibl...
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10/27/2021
Beyond Classification: Knowledge Distillation using Multi-Object Impressions
Knowledge Distillation (KD) utilizes training data as a transfer set to ...
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10/26/2021
Incremental Learning for Animal Pose Estimation using RBF k-DPP
Pose estimation is the task of locating keypoints for an object of inter...
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10/13/2021
Ordered conditional approximation of Potts models
Potts models, which can be used to analyze dependent observations on a l...
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01/15/2021
Data Impressions: Mining Deep Models to Extract Samples for Data-free Applications
Pretrained deep models hold their learnt knowledge in the form of the mo...
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11/29/2020
Single Image Super-resolution with a Switch Guided Hybrid Network for Satellite Images
The major drawbacks with Satellite Images are low resolution, Low resolu...
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11/18/2020
Effectiveness of Arbitrary Transfer Sets for Data-free Knowledge Distillation
Knowledge Distillation is an effective method to transfer the learning a...
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08/14/2020
Sketch-Guided Object Localization in Natural Images
We introduce the novel problem of localizing all the instances of an obj...
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08/03/2020
Fusion of Deep and Non-Deep Methods for Fast Super-Resolution of Satellite Images
In the emerging commercial space industry there is a drastic increase in...
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06/28/2020
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
An automated contextual suggestion algorithm is likely to recommend cont...
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06/24/2020
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation
Estimation of 3D human pose from monocular image has gained considerable...
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04/09/2020
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
Camera captured human pose is an outcome of several sources of variation...
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12/27/2019
DeGAN : Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier
In this era of digital information explosion, an abundance of data from ...
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11/21/2019
EvAn: Neuromorphic Event-based Anomaly Detection
Event-based cameras are bio-inspired novel sensors that asynchronously r...
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05/30/2019
ExplFrame: Exploiting Page Frame Cache for Fault Analysis of Block Ciphers
Page Frame Cache (PFC) is a purely software cache, present in modern Lin...
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05/30/2019
FRAMER: Using page frame cache to exploit DRAM Vulnerability
Modern operating systems use a number of different techniques and mechan...
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05/30/2019
Using Memory Allocation Schemes in Linux to Exploit DRAM Vulnerability: with Rowhammer as a Case Study
Modern operating systems use a number of different techniques and mechan...
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05/27/2019
Enhancing Salient Object Segmentation Through Attention
Segmenting salient objects in an image is an important vision task with ...
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05/20/2019
Zero-Shot Knowledge Distillation in Deep Networks
Knowledge distillation deals with the problem of training a smaller mode...
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09/28/2018
Adversarial Attacks and Defences: A Survey
Deep learning has emerged as a strong and efficient framework that can b...
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07/19/2018
Deep Sequential Multi-camera Feature Fusion for Person Re-identification
Given a target image as query, person re-identification systems retrieve...
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06/05/2014