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ORCIDShubham Jain
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Shubham Jain 0001
![[0000-0001-5892-7085]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5892-7085")
— Norwegian University of Science and Technology, Trondheim, Norway - Shubham Jain 0002 — IIT Guwahati, India
- Shubham Jain 0003 — Stony Brook University, NY, USA
- Shubham Jain 0004 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Shubham Jain 0005 — Nvidia Corporation, Santa Clara, CA, USA
- Shubham Jain 0006 — Sense Street, London, UK (and 1 more)
- Shubham Jain 0007 — Hughes Systique, Gurugram, India
- Shubham Jain 0008 — Indian Institute of Technology Bombay, Mumbai, India
- Shubham Jain 0009 — Indian Institute of Technology Hyderabad, India
- Shubham Jain 0010 — Technological University of the Shannon, Athlone, Ireland (and 1 more)
- Shubham Jain 0011 — Visa Research, Palo Alto, CA, USA
- Shubham Jain 0012 — Meesho
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2020 – today
- 2025
[c22]Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement. ICLR 2025- [c21]Nikita Katyal, Shubham Jain:
Optimizing Campaign Effectiveness: Identifying Target Customers via Recommender Engine. ISCBI 2025: 103-107 - [i9]Ranjith Merugu, Bryan Bo Cao, Shubham Jain:
StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation. CoRR abs/2506.04567 (2025) - 2024
- [j1]Hai Truong, Dheryta Jaisinghani, Shubham Jain, Arunesh Sinha, JeongGil Ko, Rajesh Balan:
Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds. Pervasive Mob. Comput. 97: 101860 (2024) - [c20]Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman, Michael Coss, Shubham Jain:
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics. ICPR (5) 2024: 439-455 - [c19]Tanisha Gupta, Shubham Jain, Anuj Grover:
0.6 to 1.2V Wide Voltage Range Bandgap Reference Generator in 18nm UTBB-FD-SOI Technology. iSES 2024: 199-203 - [i8]Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman, Michael Coss, Shubham Jain:
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics. CoRR abs/2404.05981 (2024) - [i7]Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement. CoRR abs/2411.01099 (2024) - 2023
- [i6]Bryan Bo Cao, Lawrence O'Gorman, Michael Coss, Shubham Jain:
Data-Side Efficiencies for Lightweight Convolutional Neural Networks. CoRR abs/2308.13057 (2023) - 2022
- [c18]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: 203-208 - 2021
- [c17]Gabriele Obermeier, Shubham Jain, Andreas Auinger, Dirk Werth:
The Impact of Prior Experience on Customers Using a Mixed-Reality Shopping Assistant. AMCIS 2021 - [c16]Morteza Mohammady Gharasuie, Noah Jennings, Shubham Jain:
Performance Monitoring for Exercise Movements using Mobile Cameras. BodySys@MobiSys 2021: 1-6 - [c15]Hanke Kimm, Amy Yopp Sullivan, Shubham Jain:
MoveFeel: Expressive Dance Movement Determination Through Video Analysis. BodySys@MobiSys 2021: 18-23 - [i5]Saranga Kingkor Mahanta, Darsh Kaushik, Shubham Jain, Hoang Van Truong, Koushik Guha:
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation. CoRR abs/2110.06123 (2021) - 2020
- [c14]Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth:
Holographic Recommendations in Brick-and-Mortar Stores. AMCIS 2020 - [c13]Daniel Alejandro Mora Hernandez, Shubham Jain, Oliver Nalbach, Dirk Werth:
An In-store Recommender System Leveraging the Microsoft HoloLens. HCI (39) 2020: 99-107 - [i4]Slobodan Milanko, Alexander Launi, Shubham Jain:
Designing Just-in-Time Detection for Gamified Fitness Frameworks. CoRR abs/2005.08834 (2020)
2010 – 2019
- 2019
- [c12]Slobodan Milanko, Shubham Jain:
Demo Abstract: LiftRight: Quantifying Training Performance using a Wearable Sensor. CHASE 2019: 1-2 - [c11]Noah Jennings, Shubham Jain:
Demo Abstract: MirrorMatch: Real-Time Detection of Repetitive Movements using Smartphone Camera. CHASE 2019: 3-4 - [c10]Shubham Jain, Dirk Werth:
Current State of Mixed Reality Technology for Digital Retail: A Literature Review. HCI (23) 2019: 22-37 - [c9]Shubham Jain, Minsik Hong, Jerzy W. Rozenblit:
Proficiency Based Planner for Safe Path Planning and Applications in Surgical Training. SpringSim 2019: 1-12 - 2017
- [c8]Shubham Jain, Govind Mohan, Adwitiya Sinha:
Network diffusion for information propagation in online social communities. IC3 2017: 1-3 - [c7]Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. ICLR (Poster) 2017 - [c6]Shubham Jain, Shubham Sharma, Dhawal Babbar:
Star-Force: A Playful Implementation of the Jedi-force. TEI 2017: 761-766 - [c5]M. Prudhvi Deep, Shubham Jain, P. Ubaidulla:
Optimal Resource Allocation and Relay Selection for Self-Sustainable Relaying Networks. VTC Spring 2017: 1-5 - [c4]M. Prudhvi Deep, Shubham Jain, P. Ubaidulla:
Relay Selection and Resource Allocation for Energy Harvesting Cooperative Networks. VTC Spring 2017: 1-6 - [i3]Jay Patravali, Shubham Jain, Sasank Chilamkurthy:
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. CoRR abs/1707.09813 (2017) - 2016
- [e1]Shubham Jain, Yasaman Ghasem Pour:
Proceedings of the Eighth Wireless of the Students, by the Students, and for the Students Workshop, S3@MobiCom 2016, New York City, NY, USA, October 7, 2016. ACM 2016, ISBN 978-1-4503-4255-1 [contents] - [i2]Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, Yoshua Bengio:
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. CoRR abs/1612.07837 (2016) - 2015
- [c3]Shubham Jain, Prashant Gupta, Vikash Kumar, Kamal Sharma:
A force-controlled portrait drawing robot. ICIT 2015: 3160-3165 - 2013
- [c2]Shubham Jain, Aditya Nigam, Phalguni Gupta:
Age-Invariant Face Recognition Using Shape Transformation. ICIC (1) 2013: 453-461 - [c1]Ravitashaw Bathla, Shubham Jain, Rajeev Singh:
Introducing a Novel Parameter in Generation of Course Timetable with Genetic Algorithm. SocProS (1) 2013: 321-332 - [i1]Anupam Shukla, Gaurav Ojha, Sachin Acharya, Shubham Jain:
A customized flocking algorithm for swarms of sensors tracking a swarm of targets. CoRR abs/1311.6981 (2013)
Coauthor Index
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