Abhishek Sharma

research

∙ 04/06/2023

Robust Decision-Focused Learning for Reward Transfer

Decision-focused (DF) model-based reinforcement learning has recently be...

0 Abhishek Sharma, et al. ∙

research

∙ 02/15/2023

Multimodal N-of-1 trials: A Novel Personalized Healthcare Design

N-of-1 trials aim to estimate treatment effects on the individual level ...

0 Jingjing Fu, et al. ∙

research

∙ 02/01/2023

iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD)

ADHD is a prevalent disorder among the younger population. Standard eval...

0 Abhishek Sharma, et al. ∙

research

∙ 10/16/2022

Federated Learning with Privacy-Preserving Ensemble Attention Distillation

Federated Learning (FL) is a machine learning paradigm where many local ...

0 Xuan Gong, et al. ∙

research

∙ 09/10/2022

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

Federated Learning (FL) is a machine learning paradigm where local nodes...

0 Xuan Gong, et al. ∙

research

∙ 09/06/2022

Surya Namaskar: real-time advanced yoga pose recognition and correction for smart healthcare

Nowadays, yoga has gained worldwide attention because of increasing leve...

26 Abhishek Sharma, et al. ∙

research

∙ 04/28/2022

A Probabilistic Chemical Programmable Computer

The exponential growth of the power of modern digital computers is based...

0 Abhishek Sharma, et al. ∙

research

∙ 04/07/2022

A Joint Learning Approach for Semi-supervised Neural Topic Modeling

Topic models are some of the most popular ways to represent textual data...

0 Jeffrey Chiu, et al. ∙

research

∙ 01/19/2022

Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care

Nowadays, yoga has become a part of life for many people. Exercises and ...

8 Abhishek Sharma, et al. ∙

research

∙ 12/05/2021

Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud

Despite the success of deep functional maps in non-rigid 3D shape matchi...

0 Abhishek Sharma, et al. ∙

research

∙ 12/01/2021

Object-Aware Cropping for Self-Supervised Learning

A core component of the recent success of self-supervised learning is cr...

8 Shlok Mishra, et al. ∙

research

∙ 10/25/2021

On Learning Prediction-Focused Mixtures

Probabilistic models help us encode latent structures that both model th...

0 Abhishek Sharma, et al. ∙

research

∙ 10/06/2021

Learning Canonical Embedding for Non-rigid Shape Matching

This paper provides a novel framework that learns canonical embeddings f...

0 Abhishek Sharma, et al. ∙

research

∙ 02/10/2021

Scale Normalized Image Pyramids with AutoFocus for Object Detection

We present an efficient foveal framework to perform object detection. A ...

0 Bharat Singh, et al. ∙

research

∙ 02/05/2021

Matrix Decomposition on Graphs: A Functional View

We propose a functional view of matrix decomposition problems on graphs ...

0 Abhishek Sharma, et al. ∙

research

∙ 11/03/2020

Learning Visual Representations for Transfer Learning by Suppressing Texture

Recent literature has shown that features obtained from supervised train...

13 Shlok Mishra, et al. ∙

research

∙ 09/29/2020

Geometric Matrix Completion: A Functional View

We propose a totally functional view of geometric matrix completion prob...

14 Abhishek Sharma, et al. ∙

research

∙ 09/28/2020

Weakly Supervised Deep Functional Map for Shape Matching

A variety of deep functional maps have been proposed recently, from full...

1 Abhishek Sharma, et al. ∙

research

∙ 07/19/2020

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors

The widely adopted sequential variant of Non Maximum Suppression (or Gre...

0 Rohun Tripathi, et al. ∙

research

∙ 07/10/2020

Price Optimization in Fashion E-commerce

With the rapid growth in the fashion e-commerce industry, it is becoming...

46 Sajan Kedia, et al. ∙

research

∙ 05/08/2020

OpenEDS2020: Open Eyes Dataset

We present the second edition of OpenEDS dataset, OpenEDS2020, a novel d...

12 Cristina Palmero, et al. ∙

research

∙ 04/10/2020

Towards Automatic Generation of Questions from Long Answers

Automatic question generation (AQG) has broad applicability in domains s...

0 Shlok Kumar Mishra, et al. ∙

research

∙ 03/31/2020

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

We present a novel learning-based approach for computing correspondences...

3 Nicolas Donati, et al. ∙

research

∙ 02/13/2020

Listwise Learning to Rank with Deep Q-Networks

Learning to Rank is the problem involved with ranking a sequence of docu...

0 Abhishek Sharma, et al. ∙

research

∙ 12/16/2019

Analyzing Offline Social Engagements: An Empirical Study of Meetup Events Related to Software Development

Software developers use a variety of social media channels and tools in ...

0 Abhishek Sharma, et al. ∙

research

∙ 10/15/2019

Reinforcement learning with spiking coagents

Neuroscientific theory suggests that dopaminergic neurons broadcast glob...

64 Sneha Aenugu, et al. ∙

research

∙ 09/24/2019

Multi-Person 3D Human Pose Estimation from Monocular Images

Multi-person 3D human pose estimation from a single image is a challengi...

5 Rishabh Dabral, et al. ∙

research

∙ 09/09/2019

Neural Conversational QA: Learning to Reason v.s. Exploiting Patterns

In this paper we work on the recently introduced ShARC task - a challeng...

0 Abhishek Sharma, et al. ∙

research

∙ 08/18/2019

On the Robustness of Human Pose Estimation

This paper provides, to the best of our knowledge, the first comprehensi...

7 Sahil Shah, et al. ∙

research

∙ 08/14/2019

3D Human Pose Estimation under limited supervision using Metric Learning

Estimating 3D human pose from monocular images demands large amounts of ...

3 Rahul Mitra, et al. ∙

research

∙ 04/22/2019

Exploration of Self-Propelling Droplets Using a Curiosity Driven Robotic Assistant

We describe a chemical robotic assistant equipped with a curiosity algor...

0 Jonathan Grizou, et al. ∙

research

∙ 04/02/2019

Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking

Monocular 3D Human Pose Estimation from static images is a challenging p...

0 Saurabh Sharma, et al. ∙

research

∙ 11/26/2018

Foreground Clustering for Joint Segmentation and Localization in Videos and Images

This paper presents a novel framework in which video/image segmentation ...

0 Abhishek Sharma, et al. ∙

research

∙ 10/31/2018

SIEVE: Helping Developers Sift Wheat from Chaff via Cross-Platform Analysis

Software developers have benefited from various sources of knowledge suc...

0 Agus Sulistya, et al. ∙

research

∙ 03/20/2018

DYAN: A Dynamical Atoms Network for Video Prediction

The ability to anticipate the future is essential when making real time ...

0 Wenqian Liu, et al. ∙

research

∙ 12/14/2017

Rate of Change Analysis for Interestingness Measures

The use of Association Rule Mining techniques in diverse contexts and do...

0 Nandan Sudarsanam, et al. ∙

research

∙ 12/05/2017

R-FCN-3000 at 30fps: Decoupling Detection and Classification

We present R-FCN-3000, a large-scale real-time object detector in which ...

0 Bharat Singh, et al. ∙

research

∙ 05/17/2017

One Shot Joint Colocalization and Cosegmentation

This paper presents a novel framework in which image cosegmentation and ...

0 Abhishek Sharma, et al. ∙

research

∙ 04/13/2016

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels

With the advent of affordable depth sensors, 3D capture becomes more and...

0 Abhishek Sharma, et al. ∙

research

∙ 03/14/2016

Controlling Search in Very large Commonsense Knowledge Bases: A Machine Learning Approach

Very large commonsense knowledge bases (KBs) often have thousands to mil...

0 Abhishek Sharma, et al. ∙

research

∙ 03/09/2015

Deep Hierarchical Parsing for Semantic Segmentation

This paper proposes a learning-based approach to scene parsing inspired ...

0 Abhishek Sharma, et al. ∙

research

∙ 12/16/2014

Locally Scale-Invariant Convolutional Neural Networks

Convolutional Neural Networks (ConvNets) have shown excellent results on...

0 Angjoo Kanazawa, et al. ∙

Abhishek Sharma

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