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Ritesh Sarkhel
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2020 – today
- 2024
- [j11]Kalpita Dutta, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das
:
Natural scene text localization and detection using MSER and its variants: a comprehensive survey. Multim. Tools Appl. 83(18): 55773-55810 (2024) - [i11]Ritesh Sarkhel, Xiaoqi Ren, Lauro Beltrão Costa, Guolong Su, Vincent Perot, Yanan Xie, Emmanouil Koukoumidis, Arnab Nandi:
Noise-Aware Training of Layout-Aware Language Models. CoRR abs/2404.00488 (2024) - [i10]Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin:
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR abs/2410.20745 (2024) - 2023
- [j10]Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar:
Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages. Proc. VLDB Endow. 16(11): 3098-3110 (2023) - [i9]Ritesh Sarkhel, Arnab Nandi:
Cross-Modal Entity Matching for Visually Rich Documents. CoRR abs/2303.00720 (2023) - 2022
- [j9]Codi J. Burley, Ritesh Sarkhel, Arnab Nandi:
Quill: A Declarative Approach for Accelerating Augmented Reality Application Development. IEEE Data Eng. Bull. 45(3): 82-101 (2022) - [i8]Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar:
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents. CoRR abs/2208.13086 (2022) - 2021
- [j8]Bodhisatwa Mandal, Ritesh Sarkhel
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks. Pattern Recognit. 109: 107595 (2021) - [j7]Ritesh Sarkhel, Arnab Nandi
Improving Information Extraction from Visually Rich Documents using Visual Span Representations. Proc. VLDB Endow. 14(5): 822-834 (2021) - 2020
- [c5]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. COLING 2020: 6871-6882 - [i7]Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy:
Transfer Learning for Abstractive Summarization at Controllable Budgets. CoRR abs/2002.07845 (2020) - [i6]Animesh Singh, Ritesh Sarkhel, Nibaran Das, Mahantapas Kundu, Mita Nasipuri:
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition. CoRR abs/2004.12769 (2020)
2010 – 2019
- 2019
- [j6]Anisha Gupta, Ritesh Sarkhel, Nibaran Das
Multiobjective optimization for recognition of isolated handwritten Indic scripts. Pattern Recognit. Lett. 128: 318-325 (2019) - [c4]Ritesh Sarkhel, Arnab Nandi
Deterministic Routing between Layout Abstractions for Multi-Scale Classification of Visually Rich Documents. IJCAI 2019: 3360-3366 - [c3]Ritesh Sarkhel, Arnab Nandi
Visual Segmentation for Information Extraction from Heterogeneous Visually Rich Documents. SIGMOD Conference 2019: 247-262 - [i5]Bodhisatwa Mandal, Suvam Dubey, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das:
Handwritten Indic Character Recognition using Capsule Networks. CoRR abs/1901.00166 (2019) - [i4]Bodhisatwa Mandal, Swarnendu Ghosh, Ritesh Sarkhel, Nibaran Das, Mita Nasipuri:
Using dynamic routing to extract intermediate features for developing scalable capsule networks. CoRR abs/1907.06062 (2019) - [i3]Animesh Singh, Sandip Saha, Ritesh Sarkhel, Mahantapas Kundu, Mita Nasipuri, Nibaran Das:
A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network. CoRR abs/1912.12405 (2019) - 2018
- [j5]Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri:
An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm. Eng. Appl. Artif. Intell. 67: 317-330 (2018) - [j4]Sandipan Choudhuri, Nibaran Das, Ritesh Sarkhel, Mita Nasipuri:
Object Localization on Natural Scenes: A Survey. Int. J. Pattern Recognit. Artif. Intell. 32(2): 1855001:1-1855001:39 (2018) - [c2]Promita Maitra, Ritesh Sarkhel:
A K-Competitive Autoencoder for Aggression Detection in Social Media Text. TRAC@COLING 2018 2018: 80-89 - [i2]Aritra Das, Swarnendu Ghosh, Ritesh Sarkhel, Sandipan Choudhuri, Nibaran Das, Mita Nasipuri:
Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling. CoRR abs/1803.05200 (2018) - 2017
- [j3]Ritesh Sarkhel, Tithi Mitra Chowdhury, Mayuk Das, Nibaran Das, Mita Nasipuri:
A novel Harmony Search algorithm embedded with metaheuristic Opposition Based Learning. J. Intell. Fuzzy Syst. 32(4): 3189-3199 (2017) - [j2]Ritesh Sarkhel, Nibaran Das, Aritra Das, Mahantapas Kundu, Mita Nasipuri:
A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts. Pattern Recognit. 71: 78-93 (2017) - 2016
- [j1]Ritesh Sarkhel, Nibaran Das, Amit K. Saha, Mita Nasipuri:
A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition. Pattern Recognit. 58: 172-189 (2016) - [i1]Ritesh Sarkhel, Amit K. Saha, Nibaran Das:
An Enhanced Harmony Search Method for Bangla Handwritten Character Recognition Using Region Sampling. CoRR abs/1605.00420 (2016) - 2015
- [c1]Ritesh Sarkhel, Amit K. Saha, Nibaran Das:
An enhanced harmony search method for Bangla handwritten character recognition using region sampling. ReTIS 2015: 325-330
Coauthor Index
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