Sanjukta Ghosh

According to our database, Sanjukta Ghosh authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Navigating Linguistic Diversity: In-Context Learning and Prompt Engineering for Subjectivity Analysis in Low-Resource Languages.

Satyam Dwivedi, Sanjukta Ghosh, Shivam Dwivedi

SN Comput. Sci., April, 2024

2023

Binary classifier for identification of stammering instances in Hindi speech data.

Shivam Dwivedi, Sanjukta Ghosh, Satyam Dwivedi

Int. J. Speech Technol., September, 2023

2022

Developing Hindi Stammering Corpus: Framework and Insights.

Shivam Dwivedi, Sanjukta Ghosh, Satyam Dwivedi

SN Comput. Sci., 2022

Subjectivity Identification Through Lexical Rules.

Satyam Dwivedi, Sanjukta Ghosh

SN Comput. Sci., 2022

Classification of Hindi Compound Nouns Using Machine Learning.

Vandana Dwivedi, Sanjukta Ghosh

SN Comput. Sci., 2022

2020

Deep Counting Models and their Use for Person Detection.

Sanjukta Ghosh

PhD thesis, 2020

Fuzzy rule based cluster analysis to segment consumers' preferences to eco and non-eco friendly products.

Sanjukta Ghosh, Doan Van Thang, Suresh Chandra Satapathy, Sachi Nandan Mohanty

Int. J. Knowl. Based Intell. Eng. Syst., 2020

2019

Deep Network Pruning for Object Detection.

Sanjukta Ghosh, Shashi K. K. Srinivasa, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Counting Model Extensions with Segmentation for Person Detection.

Sanjukta Ghosh, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Robustness of Deep Convolutional Neural Networks for Image Degradations.

Sanjukta Ghosh, Rohan Shet, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Pedestrian Counting using Deep Models Trained on Synthetically Generated Images.

Sanjukta Ghosh, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP, Porto, Portugal, February 27, 2017

Detecting closely spaced and occluded pedestrians using specialized deep models for counting.

Sanjukta Ghosh, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Reliable pedestrian detection using a deep neural network trained on pedestrian counts.

Sanjukta Ghosh, Peter Amon, Andreas Hutter, André Kaup

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2014

Making Verb Frames for Bangla Vector Verbs.

Sanjukta Ghosh

Proceedings of the 11th International Conference on Natural Language Processing, 2014