Shankar Gangisetty

27 papers A* 2A 2Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Dataset for Semantic Segmentation in the Presence of Unknowns. CVPR Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar
2025	J	`jnl`	A Dataset for Semantic Segmentation in the Presence of Unknowns. CoRR Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar
2025	J	`jnl`	ICPR 2024 Competition on Rider Intention Prediction. CoRR Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai, C. V. Jawahar, Sajay Raj, Manish Prajapati, Ayesha Choudhary, Aaryadev Chandra, Dev Chandan, Shireen Chand, Suvaditya Mukherjee
2025	A*	`conf`	Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. ICRA Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar
2025	J	`jnl`	Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. CoRR Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar
2025	J	`jnl`	Towards Safer and Understandable Driver Intention Prediction. CoRR Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai, Carlo Masone, C. V. Jawahar
2024	—	`conf`	Early Anticipation of Driving Maneuvers. ECCV (70) Abdul Wasi, Shankar Gangisetty, Shyam Nandan Rai, C. V. Jawahar
2024	—	`conf`	ICPR 2024 Competition on Rider Intention Prediction. ICPR (34) Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai, C. V. Jawahar, Sajay Raj, Manish Prajapati, Ayesha Choudhary, Aaryadev Chandra, Dev Chandan, Shireen Chand, Suvaditya Mukherjee
2024	A	`conf`	Visual Place Recognition in Unstructured Driving Environments. IROS Utkarsh Rai, Shankar Gangisetty, A. H. Abdul Hafez, Anbumani Subramanian, C. V. Jawahar
2023	—	`conf`	Indian Regional Sign Language Recognition. ICVGIP Sujatha C, Madhura K. Patil, Umadevi F. M, Neha Jain, Akshata Badni, Ranjeeta Angadi, Shankar Gangisetty
2023	—	`conf`	Making the V in Text-VQA Matter. CVPR Workshops Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
2023	J	`jnl`	Making the V in Text-VQA Matter. CoRR Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
2023	—	`conf`	Weakly Supervised Visual Question Answer Generation. CVPR Workshops Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
2023	J	`jnl`	Weakly Supervised Visual Question Answer Generation. CoRR Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty
2022	J	`jnl`	FloodNet: Underwater image restoration based on residual dense learning. Signal Process. Image Commun. Shankar Gangisetty, Raghu Raj Rai
2022	J	`jnl`	Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. CoRR Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra
2022	J	`jnl`	SHREC'22 track: Open-Set 3D Object Retrieval. Comput. Graph. 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
2022	J	`jnl`	Underwater image restoration using deep encoder-decoder network with symmetric skip connections. Signal Image Video Process. Shankar Gangisetty, Raghu Raj Rai
2021	—	`conf`	An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification. IEEE BigData Aryan Narayan, Bodhi Satwa Mishra, P. G. Sunitha Hiremath, Neha Tarannum Pendari, Shankar Gangisetty
2021	—	`conf`	Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. ICDAR (1) Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra
2021	J	`jnl`	PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation. CoRR Sindhu B. Hegde, Shankar Gangisetty
2021	J	`jnl`	PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation. Comput. Graph. Sindhu B. Hegde, Shankar Gangisetty
2021	J	`jnl`	SHREC 2021: Retrieval of cultural heritage objects. Comput. Graph. 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
2021	—	`conf`	Stacked LSTM Based Wafer Classification. IEEE BigData Neeta Shinde, Chandana S, Shashank Anand Patil, K. Siri Chandana, Neha Tarannum Pendari, P. G. Sunitha Hiremath, Shankar Gangisetty
2020	—	`conf`	3D Semantic Segmentation for Large-Scale Scene Understanding. ACCV Workshops Kiran Akadas, Shankar Gangisetty
2020	J	`jnl`	SHREC 2020: 3D point cloud semantic segmentation for street scenes. Comput. Graph. 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
2019	A	`conf`	An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval. BMVC Sindhu B. Hegde, Shankar Gangisetty