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Abhishek Thakur
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2020 – today
- 2024
- [j16]Abhishek Thakur
, Sudhansu Kumar Mishra
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles. Eng. Appl. Artif. Intell. 133: 108550 (2024) - [j15]Abhishek Thakur
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. SN Comput. Sci. 5(6): 659 (2024) - [c22]Nitish Kumar, Abhilash S, Abhishek Thakur, Omkarthikeya Gopi, Ayush Dasgupta
TIAND: A Multimodal Dataset for Autonomy on Indian Roads. IV 2024: 688-694 - [c21]Abhishek Thakur, C. A. Rakshith Ram, Srivishnu Sathvik, Bhavani Badugu, Swapnil Shinde, Pachamuthu Rajalakshmi:
Autonomous Cooperative Platooning Powered by LiDAR-Guided Adaptive Cruise Control. VTC Spring 2024: 1-5 - [c20]Abhishek Thakur, C. A. Rakshith Ram, Srivishnu Sathvik, Pachamuthu Rajalakshmi:
LiDAR-GNSS Fusion to Initiate Localization at Intermediate Points on a 3D Point Cloud Map. VTC Fall 2024: 1-5 - [i11]Abhishek Thakur:
AutoTrain: No-code training for state-of-the-art models. CoRR abs/2410.15735 (2024) - 2023
- [j14]Abhishek Thakur, Sangeeth Venu, Muralimohan Gurusamy
An extensive review on agricultural robots with a focus on their perception systems. Comput. Electron. Agric. 212: 108146 (2023) - [j13]Rajeev Ranjan
Image encryption using discrete orthogonal Stockwell transform with fractional Fourier transform. Multim. Tools Appl. 82(12): 18517-18527 (2023) - [j12]Abhishek Thakur
Evaluate the Performance of Deep CNN Algorithm based on Parameters and Various Geometrical Attacks. Wirel. Pers. Commun. 132(4): 2587-2602 (2023) - [c19]Neha Joshi, Abhishek Thakur, A. Antony Franklin:
POSTER: PriAuct: Privacy Preserving Auction Mechanism. ACNS Workshops 2023: 705-709 - [c18]Abhishek Thakur
LiDAR and Camera Raw Data Sensor Fusion in Real-Time for Obstacle Detection. SAS 2023: 1-6 - 2022
- [j11]Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick:
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge. Field Robotics 2(1): 1432-1506 (2022) - [j10]Ankit Sharma, Neeru Jindal, Abhishek Thakur
Multimodal Biometric for Person Identification Using Deep Learning Approach. Wirel. Pers. Commun. 125(1): 399-419 (2022) - [c17]Arpit Tripathi, Abhishek Thakur, Bheemarjuna Reddy Tamma:
Attack Graphs for Standalone Non-Public 5G Networks. FNWF 2022: 158-163 - [c16]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. EMNLP (Demos) 2022: 128-136 - [c15]Abhishek Thakur
Real Time Lidar Odometry and Mapping and Creation of Vector Map. ICARA 2022: 181-185 - [c14]Neha Joshi, Rishabh Kumar, Abhishek Thakur, A. Antony Franklin, N. V. Narendra Kumar:
PPAS: Privacy-preserving Resource Discovery for Multi-domain SFC orchestration. ICCCN 2022: 1-7 - [c13]Bhaskar Anand
Evaluation of the quality of LiDAR data in the varying ambient light. SAS 2022: 1-5 - [i10]Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad:
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR abs/2206.12681 (2022) - [i9]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - 2021
- [j9]Matteo Palieri
LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time. IEEE Robotics Autom. Lett. 6(1): 421-428 (2021) - [j8]Matteo Palieri
Corrections to "LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time". IEEE Robotics Autom. Lett. 6(2): 3760 (2021) - [c12]Edmund H. Durfee, Abhishek Thakur, Eli Goldweber:
On Teammate-Pattern-Aware Autonomy. AAMAS 2021: 1730-1732 - [c11]Quentin Lhoest, Albert Villanova del Moral
Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) 2021: 175-184 - [c10]Mrinal Senapati, Bhaskar Anand
Object Detection and Segmentation using LiDAR-Camera Fusion for Autonomous Vehicle. IRC 2021: 123-124 - [c9]Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller:
RAFT: A Real-World Few-Shot Text Classification Benchmark. NeurIPS Datasets and Benchmarks 2021 - [i8]Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. CoRR abs/2103.11470 (2021) - [i7]Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf:
Datasets: A Community Library for Natural Language Processing. CoRR abs/2109.02846 (2021) - [i6]Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller:
RAFT: A Real-World Few-Shot Text Classification Benchmark. CoRR abs/2109.14076 (2021) - 2020
- [j7]Edmund H. Durfee
Teammate-pattern-aware autonomy based on organizational self-design principles. Auton. Agents Multi Agent Syst. 34(2): 39 (2020) - [j6]Abhishek Thakur
SORT: A System for Adaptive Transmission of Video Over Delay Tolerant Networks. Int. J. Wirel. Networks Broadband Technol. 9(2): 22-49 (2020) - [c8]Kamak Ebadi, Yun Chang
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. ICRA 2020: 80-86 - [i5]Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. CoRR abs/2003.01744 (2020) - [i4]Seppo Yrjölä, Petri Ahokangas, Marja Matinmikko-Blue, Risto Jurva, Vivek Kant, Pasi Karppinen, Marianne Kinnula, Harilaos Koumaras, Mika Rantakokko, Volker Ziegler, Abhishek Thakur, Hans-Jürgen Zepernick
White Paper on Business of 6G. CoRR abs/2005.06400 (2020) - [i3]Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone, Cataldo Guaragnella, Ali-Akbar Agha-Mohammadi:
LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time. CoRR abs/2012.14447 (2020)
2010 – 2019
- 2019
- [j5]Abhishek Thakur
Examining Product Specificity in Protein Arginine Methyltransferase 7 (PRMT7) Using Quantum and Molecular Mechanical Simulations. J. Chem. Inf. Model. 59(6): 2913-2923 (2019) - [j4]Abhishek Thakur
VECTORS - VidEo Communication Through Opportunistic Relays and Scalable video coding. SoftwareX 9: 55-60 (2019) - [j3]Abhishek Thakur
STEEP: speed and time-based energy efficient neighbor discovery in opportunistic networks. Wirel. Networks 25(6): 3275-3296 (2019) - [c7]Abhishek Thakur
Performance Analysis of Energy-Efficient Multi-Cell Massive MIMO System. ICCCNT 2019: 1-7 - 2018
- [j2]Abhishek Thakur
Image forensics using color illumination, block and key point based approach. Multim. Tools Appl. 77(19): 26033-26053 (2018) - [c6]Harshvardhan C. Takawale
Talos App: On-Device Machine Learning Using TensorFlow to Detect Android Malware. IoTSMS 2018: 250-255 - [i2]Abhishek Thakur, Arnav Dhamija, Tejeshwar Reddy G:
VECTORS: Video communication through opportunistic relays and scalable video coding. CoRR abs/1811.10826 (2018) - 2015
- [c5]Heikki Huttunen
Computer Vision for Head Pose Estimation: Review of a Competition. SCIA 2015: 65-75 - [i1]Abhishek Thakur, Artus Krohn-Grimberghe:
AutoCompete: A Framework for Machine Learning Competition. CoRR abs/1507.02188 (2015) - 2014
- [j1]Kamaldeep Singh, Sharath Chandra Guntuku, Abhishek Thakur, Chittaranjan Hota
Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests. Inf. Sci. 278: 488-497 (2014) - [c4]Pratik Narang, Abhishek Thakur, Chittaranjan Hota:
HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets. COMAD 2014: 121-124 - [c3]Abhishek Thakur, Chittaranjan Hota
Designing an extensible communication platform for rural area. ICACCI 2014: 1348-1355 - 2013
- [c2]Abhishek Thakur, Chittaranjan Hota
Sustainable wireless internet connectivity for rural areas. ICACCI 2013: 1335-1340
2000 – 2009
- 2009
- [c1]Raghavendra V. Kulkarni
Generalized neuron based secure media access control protocol for wireless sensor networks. MCDM 2009: 16-22
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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