Shankar Gangisetty

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
Making the V in Text-VQA Matter. CVPR Workshops (2023)
Sujatha C, Madhura K. Patil, Umadevi. F. M, Neha Jain, Akshata Badni, Ranjeeta Angadi, Shankar Gangisetty
Indian Regional Sign Language Recognition. ICVGIP (2023)
Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
Weakly Supervised Visual Question Answer Generation. CVPR Workshops (2023)
Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
Making the V in Text-VQA Matter. CoRR (2023)
Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
Weakly Supervised Visual Question Answer Generation. CoRR (2023)
Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. CoRR (2022)
Shankar Gangisetty, Raghu Raj Rai
FloodNet: Underwater image restoration based on residual dense learning. Signal Process. Image Commun. 104 (2022)
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
SHREC'22 track: Open-Set 3D Object Retrieval. Comput. Graph. 107 (2022)
Shankar Gangisetty, Raghu Raj Rai
Underwater image restoration using deep encoder-decoder network with symmetric skip connections. Signal Image Video Process. 16 (1) (2022)
Neeta Shinde, Chandana S, Shashank Anand Patil, K. Siri Chandana, Neha Tarannum Pendari, P. G. Sunitha Hiremath, Shankar Gangisetty
Stacked LSTM Based Wafer Classification. IEEE BigData (2021)
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
SHREC 2021: Retrieval of cultural heritage objects. Comput. Graph. 100 (2021)
Tao Ku, Sam Galanakis, Bas Boom, Remco C. Veltkamp, Darshan Bangera, Shankar Gangisetty, Nikolaos Stagakis, Gerasimos Arvanitis, Konstantinos Moustakas
SHREC 2021: 3D point cloud change detection for street scenes. Comput. Graph. 99 (2021)
Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty
An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification. IEEE BigData (2021)
Sindhu Hegde, Shankar Gangisetty
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation. CoRR (2021)
Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. ICDAR (1) (2021)
Sindhu Hegde, Shankar Gangisetty
PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation. Comput. Graph. 95 (2021)
Kiran Akadas, Shankar Gangisetty
3D Semantic Segmentation for Large-Scale Scene Understanding. ACCV Workshops (2020)
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
SHREC 2020: 3D point cloud semantic segmentation for street scenes. Comput. Graph. 93 (2020)
Sindhu B. Hegde, Shankar Gangisetty
An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval. BMVC (2019)