Shankar Gangisetty

According to our database, Shankar Gangisetty authored at least 30 papers between 2013 and 2023.

Collaborative distances:

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

2023

Indian Regional Sign Language Recognition.

Sujatha C, Madhura K. Patil, Umadevi. F. M, Neha Jain, Akshata Badni, Ranjeeta Angadi, Shankar Gangisetty

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

Making the V in Text-VQA Matter.

Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly Supervised Visual Question Answer Generation.

Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

FloodNet: Underwater image restoration based on residual dense learning.

Shankar Gangisetty, Raghu Raj Rai

Signal Process. Image Commun., 2022

Underwater image restoration using deep encoder-decoder network with symmetric skip connections.

Shankar Gangisetty, Raghu Raj Rai

Signal Image Video Process., 2022

SHREC'22 track: Open-Set 3D Object Retrieval.

Yifan Feng, Yue Gao, Xibin Zhao, Yandong Guo, Nihar Bagewadi, Nhat-Tan Bui, Hieu Dao, Shankar Gangisetty, Ripeng Guan, Xie Han, Cong Hua, Chidambar Hunakunti, Yu Jiang, Shichao Jiao, Yuqi Ke, Liqun Kuang, Anan Liu, Dinh-Huan Nguyen, Hai-Dang Nguyen, Weizhi Nie, Bang-Dang Pham, Karthik Raikar, Qingmei Tang, Minh-Triet Tran, Jialong Wan, Chenggang Yan, Haoxuan You, Difei Zhu

Comput. Graph., 2022

2021

SHREC 2021: Retrieval of cultural heritage objects.

Ivan Sipiran, Patrick Lazo, Cristian Lopez, Milagritos Jimenez, Nihar Bagewadi, Benjamin Bustos, Hieu Dao, Shankar Gangisetty, Martin Hanik, Ngoc-Phuong Ho-Thi, Mike Holenderski, Dmitri Jarnikov, Arniel Labrada, Stefan Lengauer, Roxane Licandro, Dinh-Huan Nguyen, Thang-Long Nguyen-Ho, Luis A. Pérez Rey, Bang-Dang Pham, Reinhold Preiner, Tobias Schreck, Quoc-Huy Trinh, Loek Tonnaer, Christoph von Tycowicz, The-Anh Vu-Le

Comput. Graph., 2021

SHREC 2021: 3D point cloud change detection for street scenes.

Tao Ku, Sam Galanakis, Bas Boom, Remco C. Veltkamp, Darshan Bangera, Shankar Gangisetty, Nikolaos Stagakis, Gerasimos Arvanitis, Konstantinos Moustakas

Comput. Graph., 2021

PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation.

Sindhu B. Hegde, Shankar Gangisetty

Comput. Graph., 2021

Look, Read and Ask: Learning to Ask Questions by Reading Text in Images.

Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Stacked LSTM Based Wafer Classification.

Neeta Shinde, Chandana S, Shashank Anand Patil, K. Siri Chandana, Neha Tarannum Pendari, P. G. Sunitha Hiremath, Shankar Gangisetty

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification.

Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

SHREC 2020: 3D point cloud semantic segmentation for street scenes.

Tao Ku, Remco C. Veltkamp, Bas Boom, David Duque-Arias, Santiago Velasco-Forero, Jean-Emmanuel Deschaud, François Goulette, Beatriz Marcotegui, Sebastián Ortega, Agustín Trujillo, José Pablo Suárez, José Miguel Santana, Cristián Ramírez, Kiran Akadas, Shankar Gangisetty

Comput. Graph., 2020

3D Semantic Segmentation for Large-Scale Scene Understanding.

Kiran Akadas, Shankar Gangisetty

Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval.

Sindhu B. Hegde, Shankar Gangisetty

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Example-based 3D inpainting of point clouds using metric tensor and Christoffel symbols.

Shankar Setty, Uma Mudenagudi

Mach. Vis. Appl., 2018

Region of Interest-Based 3D Inpainting of Cultural Heritage Artifacts.

Shankar Setty, Uma Mudenagudi

ACM Journal on Computing and Cultural Heritage, 2018

Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects.

Shankar Setty, Sindhu B. Hegde, Supriya Satyappanavar, Uma Mudenagudi

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Sentiment based Food Classification for Restaurant Business.

Sindhu B. Hegde, Supriya Satyappanavar, Shankar Setty

Proceedings of the 2018 International Conference on Advances in Computing, 2018

2017

Restaurant setup business analysis using yelp dataset.

Sindhu B. Hegde, Supriya Satyappanavar, Shankar Setty

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016

Region of interest (ROI) based 3D inpainting.

Shankar Setty, Himanshu Shekhar, Uma Mudenagudi

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Posters, 2016

Vehicular traffic analysis from social media data.

Himanshu Shekhar, Shankar Setty, Uma Mudenagudi

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

Framework for 3D object hole filling.

Shankar Setty, Syed Altaf Ganihar, Uma Mudenagudi

Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

Disaster analysis through tweets.

Himanshu Shekhar, Shankar Setty

Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014

3D object decomposition and super resolution.

Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi

Proceedings of the SIGGRAPH Asia 2014 Posters, Shenzhen, China, December 3-6, 2014, 2014

Metric tensor and Christoffel symbols based 3D object categorization.

Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

3D Object Super Resolution using Metric Tensor and Christoffel Symbols.

Syed Altaf Ganihar, Shreyas Joshi, Shankar Setty, Uma Mudenagudi

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Classification of facebook news feeds and sentiment analysis.

Shankar Shetty, Rajendra Jadi, Sabya Shaikh, Chandan Mattikalli, Uma Mudenagudi

Proceedings of the 2014 International Conference on Advances in Computing, 2014

Realistic Walkthrough of Cultural Heritage Sites-Hampi.

Uma Mudenagudi, Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, G. Rahul, Somashekhar Dhotrad, Meera Natampally, Prem Kumar Kalra

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Indian Movie Face Database: A benchmark for face recognition under wide variations.

Shankar Setty, Moula Husain, M. Parisa Beham, Jyothi Gudavalli, Menaka Kandasamy, Radhesyam Vaddi, Vidyagouri Hemadri, J. C. Karure, Raja Raju, B. Rajan, Vijay Kumar, C. V. Jawahar

Proceedings of the Fourth National Conference on Computer Vision, 2013