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2020 – today
- 2024
[c5]Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti:
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. CIKM 2024: 3724-3729- [i4]Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti:
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. CoRR abs/2408.11207 (2024) - 2023
- [j3]Aniruddha Maiti
, Sai Shi, Slobodan Vucetic:
An ablation study on the use of publication venue quality to rank computer science departments. Scientometrics 128(8): 4197-4218 (2023) - [c4]Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. EMBC 2023: 1-7 - [i3]Sai Shi, Aniruddha Maiti, Ashis Kumar Chanda, Slobodan Vucetic:
Scholar Ranking 2023: Ranking of Computer Science Departments Based on Faculty Citations. CoRR abs/2301.03140 (2023) - [i2]Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. CoRR abs/2305.00244 (2023) - 2021
- [c3]Md. Enamul Haque, Aniruddha Maiti, Mehmet Engin Tozal:
Beyond Word Embeddings: Temporal Representations of Words using Google Trends. ICSC 2021: 280-287
2010 – 2019
- 2019
- [c2]Aniruddha Maiti, Slobodan Vucetic:
Spatial Aggregation Facilitates Discovery of Spatial Topics. ACL (1) 2019: 252-262 - 2018
- [j2]Slobodan Vucetic, Ashis Kumar Chanda, Shanshan Zhang, Tian Bai, Aniruddha Maiti:
Peer assessment of CS doctoral programs shows strong correlation with faculty citations. Commun. ACM 61(9): 70-76 (2018) - 2017
- [i1]Slobodan Vucetic, Ashis Kumar Chanda, Shanshan Zhang, Tian Bai, Aniruddha Maiti:
Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs. CoRR abs/1708.05435 (2017) - 2015
- [j1]Aniruddha Maiti, Anirban Mukherjee:
On the Monte-Carlo Expectation Maximization for Finding Motifs in DNA Sequences. IEEE J. Biomed. Health Informatics 19(2): 677-686 (2015) - [c1]Aniruddha Maiti, Santanu Ghorai, Anirban Mukherjee:
A multi-fold string kernel for sequence classification. EMBC 2015: 6469-6472
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last updated on 2024-11-15 20:35 CET by the dblp team
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