Shubham Jain

Orcid: 0000-0002-4864-6420

According to our database1, Shubham Jain authored at least 107 papers between 2013 and 2024.

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Bibliography

2024
Mixed reality training application to perform obstetric pulsed-wave Doppler ultrasound.
Educ. Inf. Technol., April, 2024

A Landmark-Aware Visual Navigation Dataset.
CoRR, 2024

Feudal Networks for Visual Navigation.
CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.
CoRR, 2024


2023
<i>ADOPT</i>: A system for Alerting Drivers to Occluded Pedestrian Traffic.
Veh. Commun., 2023

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh.
IEEE Trans. Very Large Scale Integr. Syst., 2023

Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework.
IEEE Trans. Vis. Comput. Graph., 2023

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
CoRR, 2023

Data-Side Efficiencies for Lightweight Convolutional Neural Networks.
CoRR, 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.
CoRR, 2023

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Jawthenticate: Microphone-free Speech-based Authentication using Jaw Motion and Facial Vibrations.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

AccessWear: Making Smartphone Applications Accessible to Blind Users.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements.
Proceedings of the 3rd ACM MobiCom Workshop on Integrated Sensing and Communications Systems, 2023

Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).
Proceedings of the IEEE International Reliability Physics Symposium, 2023

Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

Leveraging Unstructured Data to Improve Customer Engagement and Revenue in Financial Institutions: A Deep Reinforcement Learning Approach to Personalized Transaction Recommendations.
Proceedings of the International Conference on Computer, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing Citizen Engagement: Experiences from a Virtual Reality Workshop.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration.
ACM Trans. Design Autom. Electr. Syst., 2022

A Survey of Parking Solutions for Smart Cities.
IEEE Trans. Intell. Transp. Syst., 2022

MuteIt: Jaw Motion Based Unvoiced Command Recognition Using Earable.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic.
CoRR, 2022

ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning.
CoRR, 2022

Camera-Based Light Emitter Localization Using Correlation of Optical Pilot Sequences.
IEEE Access, 2022

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
Proceedings of the 31st USENIX Security Symposium, 2022

ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

Leveraging earables for unvoiced command recognition.
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Monitoring and Evaluation of 5G Key Performance Indicators in Media Vertical Applications.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

An Extensible Parsing Pipeline for Unstructured Data Processing.
Proceedings of the 24th International Conference on Advanced Communication Technology, 2022

RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning from Disagreement for Event Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems.
IEEE Trans. Very Large Scale Integr. Syst., 2021

RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation.
CoRR, 2021

JawSense: Recognizing Unvoiced Sound using a Low-cost Ear-worn System.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

Lost and Found!: associating target persons in camera surveillance footage with smartphone identifiers.
Proceedings of the MobiSys '21: The 19th Annual International Conference on Mobile Systems, Applications, and Services, Virtual Event, Wisconsin, USA, 24 June, 2021

MoveFeel: Expressive Dance Movement Determination Through Video Analysis.
Proceedings of the BodySys@MobiSys 2021: Proceedings of the Workshop on Body-Centric Computing Systems, 2021

Performance Monitoring for Exercise Movements using Mobile Cameras.
Proceedings of the BodySys@MobiSys 2021: Proceedings of the Workshop on Body-Centric Computing Systems, 2021

Decentralized modular architecture for live video analytics at the edge.
Proceedings of the HotEdgeVideo@MobiCom 2021: Proceedings of the 3rd ACM Workshop on Hot Topics in Video Analytics and Intelligent Edges, 2021

Omnichannel Retail Customer Experience with Mixed-Reality Shopping Assistant Systems.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

A High-Gain Low-Offset Baseband Design for Multi-Standard Navigation Receivers.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021


A Framework for Adaptive Deep Reinforcement Semantic Parsing of Unstructured Data.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

The Impact of Prior Experience on Customers Using a Mixed-Reality Shopping Assistant.
Proceedings of the 27th Americas Conference on Information Systems, 2021

Design Tools for Resistive Crossbar based Machine Learning Accelerators.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst., 2020

CxDNN: Hardware-software Compensation Methods for Deep Neural Networks on Resistive Crossbar Systems.
ACM Trans. Embed. Comput. Syst., 2020

Efficient AI System Design With Cross-Layer Approximate Computing.
Proc. IEEE, 2020

Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges.
Proc. IEEE, 2020

Designing Just-in-Time Detection for Gamified Fitness Frameworks.
CoRR, 2020

Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches.
IEEE Access, 2020

Multi-city street-sidewalk imagery from pedestrian mobile cameras: dataset.
Proceedings of the DATA@SenSys 2020: Proceedings of the Third Workshop on Data: Acquisition To Analysis, 2020

An In-store Recommender System Leveraging the Microsoft HoloLens.
Proceedings of the HCI International 2020 - Posters - 22nd International Conference, 2020

Ternary Compute-Enabled Memory using Ferroelectric Transistors for Accelerating Deep Neural Networks.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Emerging Neural Workloads and Their Impact on Hardware.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Unsupervised Noise Detection in Unstructured data for Automatic Parsing.
Proceedings of the 16th International Conference on Network and Service Management, 2020

Holographic Recommendations in Brick-and-Mortar Stores.
Proceedings of the 26th Americas Conference on Information Systems, 2020

2019
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications.
IEEE Trans. Mob. Comput., 2019

SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks.
IEEE Trans. Computers, 2019

Neural network accelerator design with resistive crossbars: Opportunities and challenges.
IBM J. Res. Dev., 2019

Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support.
CoRR, 2019

Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network.
IEEE Access, 2019

UNVEIL: Capture and Visualise WiFi Data Leakages.
Proceedings of the World Wide Web Conference, 2019

Proficiency Based Planner for Safe Path Planning and Applications in Surgical Training.
Proceedings of the 2019 Spring Simulation Conference, 2019

FusionEye: Perception Sharing for Connected Vehicles and its Bandwidth-Accuracy Trade-offs.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

Non-Volatile Memory utilizing Reconfigurable Ferroelectric Transistors to enable Differential Read and Energy-Efficient In-Memory Computation.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Current State of Mixed Reality Technology for Digital Retail: A Literature Review.
Proceedings of the HCI in Business, Government and Organizations. eCommerce and Consumer Behavior, 2019

X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019

OPAL: High performance platform for large-scale privacy-preserving location data analytics.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Automatic Synthesis Techniques for Approximate Circuits.
Proceedings of the Approximate Circuits, Methodologies and CAD., 2019

2018
Towards Robust Vehicular Context Sensing.
IEEE Trans. Veh. Technol., 2018

Computing in Memory With Spin-Transfer Torque Magnetic RAM.
IEEE Trans. Very Large Scale Integr. Syst., 2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars.
CoRR, 2018

Understanding activity segmentation for multi-sport competitions.
Proceedings of the 4th ACM Workshop on Wearable Systems and Applications, 2018

Reliability of Wearable Sensors to Detect Agitation in Patients with Dementia: A Pilot Study.
Proceedings of the 10th International Conference on Bioinformatics and Biomedical Technology, 2018

Computing-in-memory with spintronics.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
Relay Selection and Resource Allocation for Energy Harvesting Cooperative Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Optimal Resource Allocation and Relay Selection for Self-Sustainable Relaying Networks.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Star-Force: A Playful Implementation of the Jedi-force.
Proceedings of the Tenth International Conference on Tangible, 2017

2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Panoptes: servicing multiple applications simultaneously using steerable cameras.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.
Proceedings of the 5th International Conference on Learning Representations, 2017

Network diffusion for information propagation in online social communities.
Proceedings of the Tenth International Conference on Contemporary Computing, 2017

PredriveID: pre-trip driver identification from in-vehicle data.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

Real-time traffic estimation at vehicular edge nodes.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

2016
Approximation through logic isolation for the design of quality configurable circuits.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

2015
Video: LookUp!: Enabling Pedestrian Safety Services via Shoe Sensing.
Proceedings of the 13th Annual International Conference on Mobile Systems, 2015

LookUp: Enabling Pedestrian Safety Services via Shoe Sensing.
Proceedings of the 13th Annual International Conference on Mobile Systems, 2015

Gradient Profiling for Pedestrian Services.
Proceedings of the 2015 on MobiSys PhD Forum, Florence, Italy, 2015

A force-controlled portrait drawing robot.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014
Capacity of pervasive camera based communication under perspective distortions.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

On the limits of positioning-based pedestrian risk awareness.
Proceedings of the 2014 Workshop on Mobile Augmented Reality and Robotic Technology-Based Systems, 2014

Towards City-Scale Smartphone Sensing of Potentially Unsafe Pedestrian Movements.
Proceedings of the 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2014

2013
A customized flocking algorithm for swarms of sensors tracking a swarm of targets.
CoRR, 2013

Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm.
Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

Decision support system for detection of diabetic retinopathy using smartphones.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

Age-Invariant Face Recognition Using Shape Transformation.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013


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