Shubham Jain

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 110

Top Venues

CoRR

DATE

MobiSys

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach. CoRR (2024)
Abrar Alali, Stephan Olariu, Shubham Jain
: A system for Alerting Drivers to Occluded Pedestrian Traffic. Veh. Commun. 41 (2023)
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR (2023)
Martin M. Frank, Ning Li, Malte J. Rasch, Shubham Jain, Ching-Tzu Chen, Ramachandran Muralidhar, Jin-Ping Han, Vijay Narayanan, Timothy Philip, Kevin Brew, Andrew Simon, Iqbal Saraf, Nicole Saulnier, Irem Boybat, Stanislaw Wozniak, Abu Sebastian, Pritish Narayanan, Charles Mackin, An Chen, Hsinyu Tsai, Geoffrey W. Burr
Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited). IRPS (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CIKM (2023)
Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain
Data-Side Efficiencies for Lightweight Convolutional Neural Networks. CoRR (2023)
Shubham Jain, Bjørn Rude Jacobsen, Per Storrø Petersen, Gabriel Kiss, Sobah Abbas Petersen
Enhancing Citizen Engagement: Experiences from a Virtual Reality Workshop. AMCIS (2023)
Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements. ISACom@MobiCom (2023)
Prerna Khanna, Shirin Feiz, Jian Xu, I. V. Ramakrishnan, Shubham Jain, Xiaojun Bi, Aruna Balasubramanian
AccessWear: Making Smartphone Applications Accessible to Blind Users. MobiCom (2023)
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. CoRR (2023)
Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang
FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. CoRR (2023)
Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS (2023)
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. IEEE Trans. Vis. Comput. Graph. 29 (9) (2023)
Shubham Jain, Enda Fallon
Leveraging Unstructured Data to Improve Customer Engagement and Revenue in Financial Institutions: A Deep Reinforcement Learning Approach to Personalized Transaction Recommendations. CITS (2023)
Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. IEEE Trans. Very Large Scale Integr. Syst. 31 (1) (2023)
Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements. CoRR (2023)
Shubham Jain, Srijith P. K
Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty Estimation. COMAD/CODS (2023)
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP (2023)
Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang
PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs. CoRR (2023)
Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain
MuteIt: Jaw Motion Based Unvoiced Command Recognition Using Earable. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (3) (2022)
Meshari Aljohani, Stephan Olariu, Abrar Alali, Shubham Jain
A Survey of Parking Solutions for Smart Cities. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Bryan Bo Cao, Abrar Alali, Hansi Liu, Nicholas Meegan, Marco Gruteser, Kristin J. Dana, Ashwin Ashok, Shubham Jain
ViTag: Online WiFi Fine Time Measurements Aided Vision-Motion Identity Association in Multi-person Environments. SECON (2022)
Dimitris Vordonis, Dimitris Giannopoulos, Panagiotis Papaioannou, Christos Tranoris, Spyros G. Denazis, Ran Rahav, Baruch Altman, Anne-Marie Bosneag, Shubham Jain, Udi Margolin, Bader Mawasy, Konstantinos Oikonomou, Ioannis Markopoulos
Monitoring and Evaluation of 5G Key Performance Indicators in Media Vertical Applications. MeditCom (2022)
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. USENIX Security Symposium (2022)
Hansi Liu, Abrar Alali, Mohamed Ibrahim, Bryan Bo Cao, Nicholas Meegan, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin J. Dana, Ashwin Ashok, Bin Cheng, Hongsheng Lu
Vi-Fi: Associating Moving Subjects across Vision and Wireless Sensors. IPSN (2022)
Md. Rashed Rahman, T. V. Sethuraman, Marco Gruteser, Kristin J. Dana, Shubham Jain, Narayan B. Mandayam, Ashwin Ashok
Camera-Based Light Emitter Localization Using Correlation of Optical Pilot Sequences. IEEE Access 10 (2022)
Junpeng Wang, Liang Wang, Yan Zheng, Chin-Chia Michael Yeh, Shubham Jain, Wei Zhang
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework. CoRR (2022)
Tanmay Srivastava, Prerna Khanna, Shijia Pan, Phuc Nguyen, Shubham Jain
Leveraging earables for unvoiced command recognition. MobiSys (2022)
Shubham Jain, Amy de Buitléir, Enda Fallon
An Extensible Parsing Pipeline for Unstructured Data Processing. ICACT (2022)
Nicholas Meegan, Hansi Liu, Bryan Bo Cao, Abrar Alali, Kristin J. Dana, Marco Gruteser, Shubham Jain, Ashwin Ashok
ViFiCon: Vision and Wireless Association Via Self-Supervised Contrastive Learning. CoRR (2022)
Liang Wang, Junpeng Wang, Yan Zheng, Shubham Jain, Chin-Chia Michael Yeh, Zhongfang Zhuang, Javid Ebrahimi, Wei Zhang
Learning from Disagreement for Event Detection. Big Data (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification. ECCV (21) (2022)
Reena Elangovan, Shubham Jain, Anand Raghunathan
Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration. ACM Trans. Design Autom. Electr. Syst. 27 (3) (2022)
Abrar Alali, Stephan Olariu, Shubham Jain
ADOPT: A system for Alerting Drivers to Occluded Pedestrian Traffic. CoRR (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework. MICCAI (3) (2022)
Moinak Bhattacharya, Shubham Jain, Prateek Prasanna
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification. CoRR (2022)
Saranga Kingkor Mahanta, Darsh Kaushik, Shubham Jain, Hoang Van Truong, Koushik Guha
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation. CoRR (2021)
Prerna Khanna, Tanmay Srivastava, Shijia Pan, Shubham Jain, Phuc Nguyen
JawSense: Recognizing Unvoiced Sound using a Low-cost Ear-worn System. HotMobile (2021)
Prerna Khanna, Tanmay Srivastava, Shijia Pan, Shubham Jain, Phuc Nguyen
JawSense: Recognizing Unvoiced Sound using a Low-cost Ear-worn System. HotMobile (2021)
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. IEEE Trans. Very Large Scale Integr. Syst. 29 (4) (2021)
Shubham Jain, Amy de Buitléir, Enda Fallon
A Framework for Adaptive Deep Reinforcement Semantic Parsing of Unstructured Data. ICTC (2021)
Shubham Jain, Thomas Schweiß, Simon Bender, Dirk Werth
Omnichannel Retail Customer Experience with Mixed-Reality Shopping Assistant Systems. ISVC (1) (2021)
Morteza Mohammady Gharasuie, Noah Jennings, Shubham Jain
Performance Monitoring for Exercise Movements using Mobile Cameras. BodySys@MobiSys (2021)
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. CoRR (2021)
Indranil Chakraborty, Sourjya Roy, Shrihari Sridharan, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Anand Raghunathan
Design Tools for Resistive Crossbar based Machine Learning Accelerators. AICAS (2021)
Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Wang, Sanchari Sen, Jintao Zhang, Ankur Agrawal, Monodeep Kar, Shubham Jain, Alberto Mannari, Hoang Tran, Yulong Li, Eri Ogawa, Kazuaki Ishizaki, Hiroshi Inoue, Marcel Schaal, Mauricio J. Serrano, Jungwook Choi, Xiao Sun, Naigang Wang, Chia-Yu Chen, Allison Allain, James Bonanno, Nianzheng Cao, Robert Casatuta, Matthew Cohen, Bruce M. Fleischer, Michael Guillorn, Howard Haynie, Jinwook Jung, Mingu Kang, Kyu-Hyoun Kim, Siyu Koswatta, Sae Kyu Lee, Martin Lutz, Silvia M. Mueller, Jinwook Oh, Ashish Ranjan, Zhibin Ren, Scot Rider, Kerstin Schelm, Michael Scheuermann, Joel Silberman, Jie Yang, Vidhi Zalani, Xin Zhang, Ching Zhou, Matthew M. Ziegler, Vinay Shah, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Leland Chang, Kailash Gopalakrishnan
RaPiD: AI Accelerator for Ultra-low Precision Training and Inference. ISCA (2021)
Gabriele Obermeier, Shubham Jain, Andreas Auinger, Dirk Werth
The Impact of Prior Experience on Customers Using a Mixed-Reality Shopping Assistant. AMCIS (2021)
Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (2) (2021)
Jeffin Joy, Swetha Clara Jose, Vijaya Kumar Kanchetla, Shubham Jain, Rajesh Zele
A High-Gain Low-Offset Baseband Design for Multi-Standard Navigation Receivers. ISCAS (2021)
Shubham Jain, Amy de Buitléir, Enda Fallon
An Extensible Parsing Pipeline for Unstructured Data Processing. ICACT (2021)
Hanke Kimm, Amy Yopp Sullivan, Shubham Jain
MoveFeel: Expressive Dance Movement Determination Through Video Analysis. BodySys@MobiSys (2021)
Sri Pramodh Rachuri, Francesco Bronzino, Shubham Jain
Decentralized modular architecture for live video analytics at the edge. HotEdgeVideo@MobiCom (2021)
Hansi Liu, Abrar Alali, Mohamed Ibrahim, Hongyu Li, Marco Gruteser, Shubham Jain, Kristin J. Dana, Ashwin Ashok, Bin Cheng, Hongsheng Lu
Lost and Found!: associating target persons in camera surveillance footage with smartphone identifiers. MobiSys (2021)
Sourjya Roy, Shrihari Sridharan, Shubham Jain, Anand Raghunathan
TxSim: Modeling Training of Deep Neural Networks on Resistive Crossbar Systems. CoRR (2020)
Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 28 (7) (2020)
Swagath Venkataramani, Xiao Sun, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Mingu Kang, Ankur Agarwal, Jinwook Oh, Shubham Jain, Tina Babinsky, Nianzheng Cao, Thomas W. Fox, Bruce M. Fleischer, George Gristede, Michael Guillorn, Howard Haynie, Hiroshi Inoue, Kazuaki Ishizaki, Michael J. Klaiber, Shih-Hsien Lo, Gary W. Maier, Silvia M. Mueller, Michael Scheuermann, Eri Ogawa, Marcel Schaal, Mauricio J. Serrano, Joel Silberman, Christos Vezyrtzis, Wei Wang, Fanchieh Yee, Jintao Zhang, Matthew M. Ziegler, Ching Zhou, Moriyoshi Ohara, Pong-Fei Lu, Brian W. Curran, Sunil Shukla, Vijayalakshmi Srinivasan, Leland Chang, Kailash Gopalakrishnan
Efficient AI System Design With Cross-Layer Approximate Computing. Proc. IEEE 108 (12) (2020)
Sandeep Krishna Thirumala, Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan
Ternary Compute-Enabled Memory using Ferroelectric Transistors for Accelerating Deep Neural Networks. DATE (2020)
Shubham Jain, Amy de Buitléir, Enda Fallon
Unsupervised Noise Detection in Unstructured data for Automatic Parsing. CNSM (2020)
Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Shubham Jain, Sourjya Roy, Shrihari Sridharan, Amogh Agrawal, Anand Raghunathan, Kaushik Roy
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108 (12) (2020)
Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth
Holographic Recommendations in Brick-and-Mortar Stores. AMCIS (2020)
Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth
An In-store Recommender System Leveraging the Microsoft HoloLens. HCI (39) (2020)
Shubham Jain
Multi-city street-sidewalk imagery from pedestrian mobile cameras: dataset. DATA@SenSys (2020)
Slobodan Milanko, Alexander Launi, Shubham Jain
Designing Just-in-Time Detection for Gamified Fitness Frameworks. CoRR (2020)
David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin
Emerging Neural Workloads and Their Impact on Hardware. DATE (2020)
Ameya Wagh, Shubham Jain, Apratim Mukherjee, Emmanuel Agu, Peder C. Pedersen, Diane M. Strong, Bengisu Tulu, Clifford Lindsay, Ziyang Liu
Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches. IEEE Access 8 (2020)
Reena Elangovan, Shubham Jain, Anand Raghunathan
Ax-BxP: Approximate Blocked Computation for Precision-Reconfigurable Deep Neural Network Acceleration. CoRR (2020)
Shubham Jain, Anand Raghunathan
CxDNN: Hardware-software Compensation Methods for Deep Neural Networks on Resistive Crossbar Systems. ACM Trans. Embed. Comput. Syst. 18 (6) (2020)
Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye
OPAL: High performance platform for large-scale privacy-preserving location data analytics. IEEE BigData (2019)
Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye
UNVEIL: Capture and Visualise WiFi Data Leakages. WWW (2019)
Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Kailash Gopalakrishnan, Leland Chang
BiScaled-DNN: Quantizing Long-tailed Datastructures with Two Scale Factors for Deep Neural Networks. DAC (2019)
Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan
SparCE: Sparsity Aware General-Purpose Core Extensions to Accelerate Deep Neural Networks. IEEE Trans. Computers 68 (6) (2019)
Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63 (6) (2019)
Noah Jennings, Shubham Jain
Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera. CHASE (2019)
Slobodan Milanko, Shubham Jain
Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor. CHASE (2019)
Sandeep Krishna Thirumala, Yi-Tse Hung, Shubham Jain, Arnab Raha, Niharika Thakuria, Vijay Raghunathan, Anand Raghunathan, Zhihong Chen, Sumeet Kumar Gupta
Valley-Coupled-Spintronic Non-Volatile Memories with Compute-In-Memory Support. CoRR (2019)
Shubham Jain, Minsik Hong, Jerzy W. Rozenblit
Proficiency Based Planner for Safe Path Planning and Applications in Surgical Training. SpringSim (2019)
Shubham Jain, Marco Gruteser
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications. IEEE Trans. Mob. Comput. 18 (8) (2019)
Shubham Jain, Dirk Werth
Current State of Mixed Reality Technology for Digital Retail: A Literature Review. HCI (23) (2019)
Xixuan Zhao, Ziyang Liu, Emmanuel Agu, Ameya Wagh, Shubham Jain, Clifford Lindsay, Bengisu Tulu, Diane M. Strong, Jiangming Kan
Fine-Grained Diabetic Wound Depth and Granulation Tissue Amount Assessment Using Bilinear Convolutional Neural Network. IEEE Access 7 (2019)
Ashish Ranjan, Shubham Jain, Jacob R. Stevens, Dipankar Das, Bharat Kaul, Anand Raghunathan
X-MANN: A Crossbar based Architecture for Memory Augmented Neural Networks. DAC (2019)
Hansi Liu, Pengfei Ren, Shubham Jain, Mohannad Murad, Marco Gruteser, Fan Bai
FusionEye: Perception Sharing for Connected Vehicles and its Bandwidth-Accuracy Trade-offs. SECON (2019)
Sandeep Krishna Thirumala, Shubham Jain, Anand Raghunathan, Sumeet Kumar Gupta
Non-Volatile Memory utilizing Reconfigurable Ferroelectric Transistors to enable Differential Read and Energy-Efficient In-Memory Computation. ISLPED (2019)
Shubham Jain, Sumeet Kumar Gupta, Anand Raghunathan
TiM-DNN: Ternary in-Memory accelerator for Deep Neural Networks. CoRR (2019)
Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR (2018)
Christianne Nesbitt, Ajay Gupta, Shubham Jain, Kurt Maly, Hamid Reza Okhravi
Reliability of Wearable Sensors to Detect Agitation in Patients with Dementia: A Pilot Study. ICBBT (2018)
Shubham Jain, Sachin S. Sapatnekar, Jianping Wang, Kaushik Roy, Anand Raghunathan
Computing-in-memory with spintronics. DATE (2018)
Shubham Jain, Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Pierce Chuang, Leland Chang
Compensated-DNN: energy efficient low-precision deep neural networks by compensating quantization errors. DAC (2018)
Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37 (11) (2018)
Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan
Computing in Memory With Spin-Transfer Torque Magnetic RAM. IEEE Trans. Very Large Scale Integr. Syst. 26 (3) (2018)
Hang Qiu, Jinzhu Chen, Shubham Jain, Yurong Jiang, Matthew McCartney, Gorkem Kar, Fan Bai, Donald Grimm, Marco Gruteser, Ramesh Govindan
Towards Robust Vehicular Context Sensing. IEEE Trans. Veh. Technol. 67 (3) (2018)
Justin Whitlock, Orkun Krand, Shubham Jain
Understanding activity segmentation for multi-sport competitions. WearSys@MobiSys (2018)
Sanchari Sen, Shubham Jain, Swagath Venkataramani, Anand Raghunathan
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks. CoRR (2017)
Jay Patravali, Shubham Jain, Sasank Chilamkurthy
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. CoRR (2017)
Gorkem Kar, Shubham Jain, Marco Gruteser, Jinzhu Chen, Fan Bai, Ramesh Govindan
PredriveID: pre-trip driver identification from in-vehicle data. SEC (2017)
Shubham Jain, Marco Gruteser
Recognizing Textures with Mobile Cameras for Pedestrian Safety Applications. CoRR (2017)
Shubham Jain, Viet Nguyen, Marco Gruteser, Paramvir Bahl
Panoptes: servicing multiple applications simultaneously using steerable cameras. IPSN (2017)
M. Prudhvi Deep, Shubham Jain, P. Ubaidulla
Optimal Resource Allocation and Relay Selection for Self-Sustainable Relaying Networks. VTC Spring (2017)
Shubham Jain, Shubham Sharma, Dhawal Babbar
Star-Force: A Playful Implementation of the Jedi-force. Tangible and Embedded Interaction (2017)
Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan
Computing in Memory with Spin-Transfer Torque Magnetic RAM. CoRR (2017)
Gorkem Kar, Shubham Jain, Marco Gruteser, Fan Bai, Ramesh Govindan
Real-time traffic estimation at vehicular edge nodes. SEC (2017)

Shubham Jain.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Shubham Jain