Siddharth Srivastava

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2024
OmniVec: Learning robust representations with cross modal sharing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving.
CoRR, 2023

DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Hierarchical Multi-task Learning via Task Affinity Groupings.
Proceedings of the IEEE International Conference on Image Processing, 2023

Triple-Output current-mode on-chip Filter Design and Analysis for VHF-band Applications.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Predicting Citi Bike Demand Evolution Using Dynamic Graphs.
CoRR, 2022

Hierarchical Termination Analysis for Generalized Planning.
CoRR, 2022

Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning.
CoRR, 2022

Multi-Task Option Learning and Discovery for Stochastic Path Planning.
CoRR, 2022

Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Micro-Tutorial: A Strategy for Integrating Error Handling and Concept Application Skills in Traditional Micro-Lecturing Process.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

The KP-Traversal Scheme.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

2021
A Legendre polynomial based activation function: An aid for modeling of max pooling.
Digit. Signal Process., 2021

JEDAI Explains Decision-Making AI.
CoRR, 2021

Anytime Stochastic Task and Motion Policies.
CoRR, 2021

Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention.
CoRR, 2021

Self Attention Guided Depth Completion using RGB and Sparse LiDAR Point Clouds.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Wingman: Your Digital Drinking Companion.
Proceedings of the IndiaHCI 2021: 12th Indian Conference on Human-Computer Interaction, 2021

Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Micro-Prompt: A Strategy for Designing Pedagogically Effective Assignment Free Micro-Lectures for Online Education Systems.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

AutoPrompt: A Desktop Application for Designing Micro-Lectures using Micro-Prompt Strategy for Online Education Systems.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Some Patterns for Architecting Lectures.
Proceedings of the EuroPLoP'21: European Conference on Pattern Languages of Programs 2021, Graz, Austria, July 7, 2021

Beyond Image to Depth: Improving Depth Prediction Using Echoes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning Sampling Distributions for Efficient High-Dimensional Motion Planning.
CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.
AI Mag., 2020

Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

Using Scene Graphs for Detecting Visual Relationships.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Learning by Imitation in Online Courses using Memorization, Learning by Doing and Lecture Architecture for Naive Programmers.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Lecture Breakup- A Strategy for Designing Pedagogically Effective Lectures for Online Education Systems.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

Hindi-CNL Coder - A Desktop Application for Learning Programming using Native Controlled Natural Language.
Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 2020

An Online Learning Approach for Dengue Fever Classification.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

A Hybrid Approach to Develop and Integrate Chatbot in Health Informatics Systems.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds.
Pattern Recognit. Lett., 2019

Few Shot Speaker Recognition using Deep Neural Networks.
CoRR, 2019

An Online Learning Approach for Dengue Fever Classification.
CoRR, 2019

Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice.
CoRR, 2019

Identifying Critical Regions for Motion Planning using Auto-Generated Saliency Labels with Convolutional Neural Networks.
CoRR, 2019

Guided Compositional Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Swift-IoT: A Framework for Small Scale IoT System Development for Students.
Proceedings of the 10th International Conference on Computing, 2019

2018
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations.
CoRR, 2018

An Anytime Algorithm for Task and Motion MDPs.
CoRR, 2018

Reports on the 2018 AAAI Spring Symposium Series.
AI Mag., 2018

Large Scale Novel Object Discovery in 3D.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Joint Image Classification and Annotation Prediction Using Iterative Learning on Local Neighbourhood.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep Neural Network Based Image Captioning.
Proceedings of the Big Data Analytics - 6th International Conference, 2018

2017
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

An ROS-based Shared Communication Middleware for Plug & Play Modular Intelligent Design of Smart Systems.
CoRR, 2017

Continuity of Care Document for Hospital Management Systems: an Implementation Perspective.
Proceedings of the 10th International Conference on Theory and Practice of Electronic Governance, 2017

Drought Stress Classification Using 3D Plant Models.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Object Classification using Ensemble of Local and Deep Features.
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017

Deep learning for health informatics: Recent trends and future directions.
Proceedings of the 2017 International Conference on Advances in Computing, 2017

Enhanced Characterness for Text Detection in the Wild.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

2016
Characterizing objects with SIKA features for multiclass classification.
Appl. Soft Comput., 2016

3D binary signatures.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015
Benchmarking KAZE and MCM for Multiclass Classification.
CoRR, 2015

SIFT Vs SURF: Quantifying the Variation in Transformations.
CoRR, 2015

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions.
CoRR, 2015

Adaptive crypto-steganosystem for videos based on information content and visual perception.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

2014
Electronic Health Records and Cloud based Generic Medical Equipment Interface.
CoRR, 2014

2013
Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic network.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2013

2012
Reports of the AAAI 2011 Conference Workshops.
AI Mag., 2012

First-Order Models for POMDPs.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Learning Relational Structure for Temporal Relation Extraction.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012

Path planning algorithms for mesh networked robots based on WiFi geo-location.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommuncations Systems, 2012

2008
Learning Generalized Plans Using Abstract Counting.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2005
Feature-based statistical analysis of structural MR data for automatic detection of focal cortical dysplastic lesions.
NeuroImage, 2005

2004
Effects of Anatomical Asymmetry in Spatial Priors on Model-Based Segmentation of the Brain MRI: A Validation Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Feature Based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic (FCD) Lesions.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
An Automated 3D Algorithm for Neo-cortical Thickness Measurement.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2001
Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001


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