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ORCIDAbhishek Thakur
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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.
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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, Ankit Kumar, Sudhansu Kumar Mishra, Subhendu Kumar Behera, Jagannath Sethi, Sitanshu Sekhar Sahu, Subrat Kumar Swain:
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. SN Comput. Sci. 5(6): 659 (2024) - [c21]Nitish Kumar, Abhilash S, Abhishek Thakur, Omkarthikeya Gopi, Ayush Dasgupta, Arpitha Algole, Bhaskar Anand, Venkata Satyanand Mutnuri, D. Santhosh Reddy, Naga Praveen Babu Mannam, Srikanth Saripalli, Rajalakshmi Pachamuthu:
TIAND: A Multimodal Dataset for Autonomy on Indian Roads. IV 2024: 688-694 - [c20]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 - 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, Abhishek Thakur:
Image encryption using discrete orthogonal Stockwell transform with fractional Fourier transform. Multim. Tools Appl. 82(12): 18517-18527 (2023) - [j12]Abhishek Thakur, Rajeev Ranjan:
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, Pachamuthu Rajalakshmi:
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, Prashant Singh Rana, Bharat Garg, Rajesh Mehta:
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, Bhaskar Anand, Harshal Verma, Pachamuthu Rajalakshmi:
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, Harshal Verma, Abhishek Thakur, Parvez Alam, Pachamuthu Rajalakshmi:
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, 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. IEEE Robotics Autom. Lett. 6(1): 421-428 (2021) - [j8]Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone, Cataldo Guaragnella, Ali-akbar Agha-mohammadi:
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, 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, Clément 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. EMNLP (Demos) 2021: 175-184 - [c10]Mrinal Senapati, Bhaskar Anand, Abhishek Thakur, Harshal Verma, Pachamuthu Rajalakshmi:
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, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, 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: 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, Abhishek Thakur, Eli Goldweber:
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, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden, Abhishek Thakur, Nobuhiro Funabiki, Benjamin Morrell, Sally L. Wood, Luca Carlone, Ali-akbar Agha-mohammadi:
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, Alex Hatteland, Eric Heiden, Abhishek Thakur, Nobuhiro Funabiki, Benjamin Morrell, Sally L. Wood, Luca Carlone, Ali-akbar Agha-mohammadi:
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, Joan M. Hevel, Orlando Acevedo:
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, Arnav Dhamija, Tejeshwar Reddy G:
VECTORS - VidEo Communication Through Opportunistic Relays and Scalable video coding. SoftwareX 9: 55-60 (2019) - [j3]Abhishek Thakur, R. Sathiyanarayanan, Chittaranjan Hota:
STEEP: speed and time-based energy efficient neighbor discovery in opportunistic networks. Wirel. Networks 25(6): 3275-3296 (2019) - [c7]Abhishek Thakur, Ramesh Chandra Mishra:
Performance Analysis of Energy-Efficient Multi-Cell Massive MIMO System. ICCCNT 2019: 1-7 - 2018
- [j2]Abhishek Thakur, Neeru Jindal:
Image forensics using color illumination, block and key point based approach. Multim. Tools Appl. 77(19): 26033-26053 (2018) - [c6]Harshvardhan C. Takawale, Abhishek Thakur:
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, Ke Chen, Abhishek Thakur, Artus Krohn-Grimberghe, Oguzhan Gencoglu, Xingyang Ni, Mohammed Al-Musawi, Lei Xu, Hendrik Jacob van Veen:
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, Ganesh K. Venayagamoorthy, Abhishek Thakur, Sanjay Kumar Madria:
Generalized neuron based secure media access control protocol for wireless sensor networks. MCDM 2009: 16-22
Coauthor Index
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