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ORCIDShankar Gangisetty
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- affiliation: KLE Technological University, India
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2020 – today
- 2026
[c29]Sainithin Artham, Avijit Dasgupta, Shankar Gangisetty, C. V. Jawahar:
Distilling What and Why: Enhancing Driver Intention Prediction with MLLMs. WACV 2026: 7281-7290- [i11]Sainithin Artham, Shankar Gangisetty, Avijit Dasgupta, C. V. Jawahar:
DriveSafe: A Framework for Risk Detection and Safety Suggestions in Driving Scenarios. CoRR abs/2605.16892 (2026) - [i10]Varun A. Paturkar, Shankar Gangisetty, C. V. Jawahar:
MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding. CoRR abs/2605.22550 (2026) - [i9]Naman Mishra, Shankar Gangisetty, C. V. Jawahar:
PEDESTRIANQA: A Benchmark for Vision-Language Models on Pedestrian Intention and Trajectory Prediction. CoRR abs/2605.24562 (2026) - 2025
- [c28]Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar:
A Dataset for Semantic Segmentation in the Presence of Unknowns. CVPR 2025: 1439-1448 - [c27]Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai, Carlo Masone, C. V. Jawahar:
Towards Safer and Understandable Driver Intention Prediction. ICCV 2025: 25378-25387 - [c26]Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar:
Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. ICRA 2025: 763-770 - [i8]Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai, C. V. Jawahar, Sajay Raj, Manish Prajapati, Ayesha Choudhary, Aaryadev Chandra, Dev Chandan, Shireen Chand, Suvaditya Mukherjee:
ICPR 2024 Competition on Rider Intention Prediction. CoRR abs/2503.08437 (2025) - [i7]Zakaria Laskar, Tomas Vojir, Matej Grcic, Iaroslav Melekhov, Shankar Gangisetty, Juho Kannala, Jiri Matas, Giorgos Tolias, C. V. Jawahar:
A Dataset for Semantic Segmentation in the Presence of Unknowns. CoRR abs/2503.22309 (2025) - [i6]Ruthvik Bokkasam, Shankar Gangisetty, A. H. Abdul Hafez, C. V. Jawahar:
Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. CoRR abs/2506.22111 (2025) - [i5]Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai, Carlo Masone, C. V. Jawahar:
Towards Safer and Understandable Driver Intention Prediction. CoRR abs/2510.09200 (2025) - 2024
- [c25]Abdul Wasi
, Shankar Gangisetty, Shyam Nandan Rai, C. V. Jawahar:
Early Anticipation of Driving Maneuvers. ECCV (70) 2024: 152-169 - [c24]Shankar Gangisetty, Abdul Wasi, Shyam Nandan Rai, C. V. Jawahar, Sajay Raj, Manish Prajapati, Ayesha Choudhary, Aaryadev Chandra, Dev Chandan, Shireen Chand, Suvaditya Mukherjee:
ICPR 2024 Competition on Rider Intention Prediction. ICPR (34) 2024: 30-45 - [c23]Utkarsh Rai, Shankar Gangisetty, A. H. Abdul Hafez, Anbumani Subramanian, C. V. Jawahar:
Visual Place Recognition in Unstructured Driving Environments. IROS 2024: 10724-10731 - 2023
- [c22]Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Making the V in Text-VQA Matter. CVPR Workshops 2023: 5580-5588 - [c21]Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Weakly Supervised Visual Question Answer Generation. CVPR Workshops 2023: 5589-5597 - [c20]Sujatha C, Madhura K. Patil, Umadevi F. M, Neha Jain, Akshata Badni, Ranjeeta Angadi, Shankar Gangisetty:
Indian Regional Sign Language Recognition. ICVGIP 2023: 29:1-29:7 - [i4]Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Weakly Supervised Visual Question Answer Generation. CoRR abs/2306.06622 (2023) - [i3]Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Making the V in Text-VQA Matter. CoRR abs/2308.00295 (2023) - 2022
- [j8]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: 231-240 (2022) - [j7]Shankar Gangisetty, Raghu Raj Rai:
Underwater image restoration using deep encoder-decoder network with symmetric skip connections. Signal Image Video Process. 16(1): 247-255 (2022) - [j6]Shankar Gangisetty, Raghu Raj Rai:
FloodNet: Underwater image restoration based on residual dense learning. Signal Process. Image Commun. 104: 116647 (2022) - [i2]Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra:
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. CoRR abs/2211.12950 (2022) - 2021
- [j5]Sindhu B. Hegde, Shankar Gangisetty:
PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation. Comput. Graph. 95: 13-22 (2021) - [j4]Ivan Sipiran, Patrick Lazo, Cristian López, 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: 1-20 (2021) - [c19]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: 5774-5779 - [c18]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: 5786-5790 - [c17]Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra:
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. ICDAR (1) 2021: 335-349 - [i1]Sindhu B. Hegde, Shankar Gangisetty:
PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation. CoRR abs/2101.11987 (2021) - 2020
- [j3]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: 13-24 (2020) - [c16]Kiran Akadas, Shankar Gangisetty:
3D Semantic Segmentation for Large-Scale Scene Understanding. ACCV Workshops 2020: 87-102
2010 – 2019
- 2019
- [c15]Sindhu B. Hegde, Shankar Gangisetty:
An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval. BMVC 2019: Article 47 - 2018
- [j2]Shankar Setty, Uma Mudenagudi:
Region of Interest-Based 3D Inpainting of Cultural Heritage Artifacts. ACM Journal on Computing and Cultural Heritage 11(2): 9:1-9:21 (2018) - [j1]Shankar Setty, Uma Mudenagudi:
Example-based 3D inpainting of point clouds using metric tensor and Christoffel symbols. Mach. Vis. Appl. 29(2): 329-343 (2018) - [c14]Sindhu B. Hegde, Supriya Satyappanavar, Shankar Setty:
Sentiment based Food Classification for Restaurant Business. ICACCI 2018: 1455-1462 - [c13]Shankar Setty, Sindhu B. Hegde, Supriya Satyappanavar, Uma Mudenagudi:
Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects. ICVGIP 2018: 60:1-60:9 - 2017
- [c12]Sindhu B. Hegde, Supriya Satyappanavar, Shankar Setty:
Restaurant setup business analysis using yelp dataset. ICACCI 2017: 2342-2348 - 2016
- [c11]Himanshu Shekhar, Shankar Setty, Uma Mudenagudi:
Vehicular traffic analysis from social media data. ICACCI 2016: 1628-1634 - [c10]Shankar Setty, Himanshu Shekhar, Uma Mudenagudi:
Region of interest (ROI) based 3D inpainting. SIGGRAPH Asia Posters 2016: 33 - 2015
- [c9]Himanshu Shekhar, Shankar Setty:
Disaster analysis through tweets. ICACCI 2015: 1719-1723 - [c8]Shankar Setty, Syed Altaf Ganihar, Uma Mudenagudi:
Framework for 3D object hole filling. NCVPRIPG 2015: 1-4 - 2014
- [c7]Syed Altaf Ganihar, Shreyas Joshi, Shankar Setty, Uma Mudenagudi:
Metric Tensor and Christoffel Symbols Based 3D Object Categorization. ACCV Workshops (3) 2014: 138-151 - [c6]Uma Mudenagudi, Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, G. Rahul, Somashekhar Dhotrad, Meera Natampally, Prem Kumar Kalra:
Realistic Walkthrough of Cultural Heritage Sites-Hampi. ACCV Workshops (2) 2014: 554-566 - [c5]Shankar Shetty, Rajendra Jadi, Sabya Shaikh, Chandan Mattikalli, Uma Mudenagudi:
Classification of facebook news feeds and sentiment analysis. ICACCI 2014: 18-23 - [c4]Syed Altaf Ganihar, Shreyas Joshi, Shankar Setty, Uma Mudenagudi:
3D Object Super Resolution using Metric Tensor and Christoffel Symbols. ICVGIP 2014: 87:1-87:8 - [c3]Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi:
3D object decomposition and super resolution. SIGGRAPH ASIA Posters 2014: 5 - [c2]Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi:
Metric tensor and Christoffel symbols based 3D object categorization. SIGGRAPH Posters 2014: 38:1 - 2013
- [c1]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:
Indian Movie Face Database: A benchmark for face recognition under wide variations. NCVPRIPG 2013: 1-5
Coauthor Index
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last updated on 2026-06-15 23:41 CEST by the dblp team
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