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Shubham Agrawal
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2020 – today
- 2024
- [c20]Ayush Agarwal, Janak Kapuriya, Shubham Agrawal, Akhil Vamshi Konam, Mansi Goel, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler:
Deep Learning Based Named Entity Recognition Models for Recipes. LREC/COLING 2024: 4542-4554 - [c19]Isaac Kasahara, Shubham Agrawal, Selim Engin, Nikhil Chavan Dafle, Shuran Song, Volkan Isler:
RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction. ICRA 2024: 2713-2720 - [i17]Mansi Goel, Ayush Agarwal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi Konam, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler:
Deep Learning Based Named Entity Recognition Models for Recipes. CoRR abs/2402.17447 (2024) - [i16]Sergei Krutikov, Bulat Khaertdinov, Rodion Kiriukhin, Shubham Agrawal, Kees Jan de Vries:
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com. CoRR abs/2405.13692 (2024) - [i15]Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman:
CodeGemma: Open Code Models Based on Gemma. CoRR abs/2406.11409 (2024) - 2023
- [j10]Shubham Agrawal, Srinivas Peeta, Irina Benedyk:
Evaluating the cognitive and psychological effects of real-time auditory travel information on drivers using EEG. Behav. Inf. Technol. 42(10): 1617-1639 (2023) - [j9]Georg Hille, Shubham Agrawal, Pavan Tummala, Christian Wybranski, Maciej Pech, Alexey Surov, Sylvia Saalfeld:
Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers. Comput. Methods Programs Biomed. 240: 107647 (2023) - [j8]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. 8(82): 5026 (2023) - [j7]Shubham Agrawal, Venkatesh Honnakasturi, Madhumitha Nara, Nagamma Patil:
Utilizing Deep Learning Models and Transfer Learning for COVID-19 Detection from X-Ray Images. SN Comput. Sci. 4(4): 326 (2023) - [j6]Anye Zhou, Yongyang Liu, Einat Tenenboim, Shubham Agrawal, Srinivas Peeta:
Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study. IEEE Trans. Intell. Veh. 8(4): 2661-2673 (2023) - [c18]Mert Kosan, Linyun He, Shubham Agrawal, Hongyi Liu, Chiranjeet Chetia:
AI Decision Systems with Feedback Loop Active Learner. CSW@WSDM 2023: 44-58 - [c17]Shubham Agrawal, Nitin Kumar, Geetanjali Rathee, Carlos T. Calafate, Chaker Abdelaziz Kerrache:
Determining the Accuracy of Reinforced Model via Sentiment and Technical Analysis as a Stock Market Prediction Technique. ICT-DM 2023: 1-4 - [c16]Anjali Raj, Shubham Agrawal, Adway Mitra, Manjira Sinha:
Mapping Slums from Satellite Imagery Using Deep Learning. IGARSS 2023: 6584-6587 - [c15]Shubham Agrawal, Nikhil Chavan Dafle, Isaac Kasahara, Selim Engin, Jinwook Huh, Volkan Isler:
Real-Time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction. IROS 2023: 3184-3191 - [c14]Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic:
Extreme Multi-Label Classification for Ad Targeting using Factorization Machines. KDD 2023: 4705-4716 - [i14]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. CoRR abs/2302.00820 (2023) - [i13]Shubham Agrawal, Nikhil Chavan Dafle, Isaac Kasahara, Selim Engin, Jinwook Huh, Volkan Isler:
Real-time Simultaneous Multi-Object 3D Shape Reconstruction, 6DoF Pose Estimation and Dense Grasp Prediction. CoRR abs/2305.09510 (2023) - [i12]Isaac Kasahara, Shubham Agrawal, Selim Engin, Nikhil Chavan Dafle, Shuran Song, Volkan Isler:
RICo: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction. CoRR abs/2307.11932 (2023) - [i11]Yong Zhao, Runxin He, Nicholas Kersting, Can Liu, Shubham Agrawal, Chiranjeet Chetia, Yu Gu:
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values. CoRR abs/2309.16916 (2023) - 2022
- [c13]Aman Tahiliani, Adarsh Kumar Verma, Shubham Agrawal, Kavita Pandey:
A Solution to Evade Social Media Distraction. IC3 2022: 538-543 - [c12]Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler:
Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation. IROS 2022: 1396-1403 - [c11]Yulong Li, Shubham Agrawal, Jen-Shuo Liu, Steven K. Feiner, Shuran Song:
Scene Editing as Teleoperation: A Case Study in 6DoF Kit Assembly. IROS 2022: 4773-4780 - [i10]Georg Hille, Shubham Agrawal, Christian Wybranski, Maciej Pech, Alexey Surov, Sylvia Saalfeld:
Joint Liver and Hepatic Lesion Segmentation using a Hybrid CNN with Transformer Layers. CoRR abs/2201.10981 (2022) - 2021
- [c10]Zhenjia Xu, Beichun Qi, Shubham Agrawal, Shuran Song:
AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy. ICRA 2021: 4620-4626 - [c9]Shubham Agrawal, Loganathan Umanand, Subba Reddy B:
Enhancement of Power Rating for a Bidirectional DC Circuit Breaker using Modular Commutation Circuits. IECON 2021: 1-6 - [i9]Nikhil Chavan Dafle, Sergiy Popovych, Shubham Agrawal, Daniel D. Lee, Volkan Isler:
Object Shell Reconstruction: Camera-centric Object Representation for Robotic Grasping. CoRR abs/2109.06837 (2021) - [i8]Shubham Agrawal, Yulong Li, Jen-Shuo Liu, Steven K. Feiner, Shuran Song:
Scene Editing as Teleoperation: A Case Study in 6DoF Kit Assembly. CoRR abs/2110.04450 (2021) - 2020
- [c8]Huy Ha, Shubham Agrawal, Shuran Song:
Fit2Form: 3D Generative Model for Robot Gripper Form Design. CoRL 2020: 176-187 - [c7]Martin Pavlovski, Jelena Gligorijevic, Ivan Stojkovic, Shubham Agrawal, Shabhareesh Komirishetty, Djordje Gligorijevic, Narayan Bhamidipati, Zoran Obradovic:
Time-Aware User Embeddings as a Service. KDD 2020: 3194-3202 - [c6]Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. WACV 2020: 81-90 - [i7]David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme:
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. CoRR abs/2001.08539 (2020) - [i6]Shubham Agrawal, Anuj Pahuja, Simon Lucey:
High Accuracy Face Geometry Capture using a Smartphone Video. CoRR abs/2003.08583 (2020) - [i5]Huy Ha, Shubham Agrawal, Shuran Song:
Fit2Form: 3D Generative Model for Robot Gripper Form Design. CoRR abs/2011.06498 (2020) - [i4]Zhenjia Xu, Beichun Qi, Shubham Agrawal, Shuran Song:
AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy. CoRR abs/2011.14206 (2020)
2010 – 2019
- 2019
- [c5]Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah:
Interactive Image Generation Using Scene Graphs. DGS@ICLR 2019 - [c4]Swaminathan Gurumurthy, Shubham Agrawal:
High Fidelity Semantic Shape Completion for Point Clouds Using Latent Optimization. WACV 2019: 1099-1108 - [i3]Tejas Khot, Shubham Agrawal, Shubham Tulsiani, Christoph Mertz, Simon Lucey, Martial Hebert:
Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency. CoRR abs/1905.02706 (2019) - [i2]Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah:
Interactive Image Generation Using Scene Graphs. CoRR abs/1905.03743 (2019) - 2018
- [i1]Swaminathan Gurumurthy, Shubham Agrawal:
High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization. CoRR abs/1807.03407 (2018) - 2017
- [j5]Satish K. Tyagi, Shubham Agrawal, Kai Yang, Hao Ying:
An extended Fuzzy-AHP approach to rank the influences of socialization-externalization-combination-internalization modes on the development phase. Appl. Soft Comput. 52: 505-518 (2017) - [c3]Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, Shubham Agrawal:
Smart Geo-fencing with Location Sensitive Product Affinity. SIGSPATIAL/GIS 2017: 39:1-39:10 - 2016
- [c2]Debapriya Basu Roy, Shubham Agrawal, Chester Rebeiro, Debdeep Mukhopadhyay:
Accelerating OpenSSL's ECC with low cost reconfigurable hardware. ISIC 2016: 1-4 - 2014
- [j4]Anand D. Darji, Shubham Agrawal, Ankit Oza, Vipul Sinha, Aditya Verma, S. N. Merchant, Arun N. Chandorkar:
Dual-Scan Parallel Flipping Architecture for a Lifting-Based 2-D Discrete Wavelet Transform. IEEE Trans. Circuits Syst. II Express Briefs 61-II(6): 433-437 (2014) - 2010
- [j3]Manoj Kumar Tiwari, N. Raghavendra, Shubham Agrawal, Suresh K. Goyal:
A Hybrid Taguchi-Immune approach to optimize an integrated supply chain design problem with multiple shipping. Eur. J. Oper. Res. 203(1): 95-106 (2010)
2000 – 2009
- 2009
- [c1]Shubham Agrawal, Sumit Kumar Bose, Srikanth Sundarrajan:
Grouping genetic algorithm for solving the serverconsolidation problem with conflicts. GEC Summit 2009: 1-8 - 2008
- [j2]Shubham Agrawal, Bijaya Ketan Panigrahi, Manoj Kumar Tiwari:
Multiobjective Particle Swarm Algorithm With Fuzzy Clustering for Electrical Power Dispatch. IEEE Trans. Evol. Comput. 12(5): 529-541 (2008) - [j1]Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari, Young-Jun Son:
Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization. IEEE Trans. Syst. Man Cybern. Part A 38(2): 258-277 (2008)
Coauthor Index
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last updated on 2024-12-30 19:27 CET by the dblp team
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