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 004; C. V. Jawahar (NCVPRIPG, 2013)

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 (ACCV Workshops (2), 2014)

Classification of facebook news feeds and sentiment analysis. - Shankar Shetty; Rajendra Jadi; Sabya Shaikh; Chandan Mattikalli; Uma Mudenagudi (ICACCI, 2014)

3D Object Super Resolution using Metric Tensor and Christoffel Symbols. - Syed Altaf Ganihar; Shreyas Joshi; Shankar Setty; Uma Mudenagudi (ICVGIP, 2014)

Metric tensor and Christoffel symbols based 3D object categorization. - Syed Altaf Ganihar; Shreyas Joshi; Shankar Shetty; Uma Mudenagudi (SIGGRAPH Posters, 2014)

3D object decomposition and super resolution. - Syed Altaf Ganihar; Shreyas Joshi; Shankar Shetty; Uma Mudenagudi (SIGGRAPH ASIA Posters, 2014)

Disaster analysis through tweets. - Himanshu Shekhar; Shankar Setty (ICACCI, 2015)

Framework for 3D object hole filling. - Shankar Setty; Syed Altaf Ganihar; Uma Mudenagudi (NCVPRIPG, 2015)

Vehicular traffic analysis from social media data. - Himanshu Shekhar; Shankar Setty; Uma Mudenagudi (ICACCI, 2016)

Region of interest (ROI) based 3D inpainting. - Shankar Setty; Himanshu Shekhar; Uma Mudenagudi (SIGGRAPH Asia Posters, 2016)

Restaurant setup business analysis using yelp dataset. - Sindhu B. Hegde; Supriya Satyappanavar; Shankar Setty (ICACCI, 2017)

Sentiment based Food Classification for Restaurant Business. - Sindhu B. Hegde; Supriya Satyappanavar; Shankar Setty (ICACCI, 2018)

Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects. - Shankar Setty; Sindhu B. Hegde; Supriya Satyappanavar; Uma Mudenagudi (ICVGIP, 2018)

Region of Interest-Based 3D Inpainting of Cultural Heritage Artifacts. - Shankar Setty; Uma Mudenagudi (ACM Journal on Computing and Cultural Heritage, 2018)

Example-based 3D inpainting of point clouds using metric tensor and Christoffel symbols. - Shankar Setty; Uma Mudenagudi (Mach. Vis. Appl., 2018)

An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval. - Sindhu B. Hegde; Shankar Gangisetty (BMVC, 2019)

3D Semantic Segmentation for Large-Scale Scene Understanding. - Kiran Akadas; Shankar Gangisetty (ACCV Workshops, 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; et al. (Comput. Graph., 2020)

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 (IEEE BigData, 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 (IEEE BigData, 2021)

Look, Read and Ask: Learning to Ask Questions by Reading Text in Images. - Soumya Jahagirdar; Shankar Gangisetty; Anand Mishra 001 (ICDAR (1), 2021)

PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation. - Sindhu B. Hegde; Shankar Gangisetty (Comput. Graph., 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; et al. (Comput. Graph., 2021)

SHREC'22 track: Open-Set 3D Object Retrieval. - Yifan Feng 001; Yue Gao 002; Xibin Zhao; Yandong Guo; Nihar Bagewadi; Nhat-Tan Bui; Hieu Dao; Shankar Gangisetty; Ripeng Guan; Xie Han; Cong Hua; Chidambar Hunakunti; et al. (Comput. Graph., 2022)

Underwater image restoration using deep encoder-decoder network with symmetric skip connections. - Shankar Gangisetty; Raghu Raj Rai (Signal Image Video Process., 2022)

FloodNet: Underwater image restoration based on residual dense learning. - Shankar Gangisetty; Raghu Raj Rai (Signal Process. Image Commun., 2022)

Weakly Supervised Visual Question Answer Generation. - Charani Alampalle; Shamanthak Hegde; Soumya Jahagirdar; Shankar Gangisetty (CVPR Workshops, 2023)

Making the V in Text-VQA Matter. - Shamanthak Hegde; Soumya Jahagirdar; Shankar Gangisetty (CVPR Workshops, 2023)

Indian Regional Sign Language Recognition. - Sujatha C; Madhura K. Patil; Umadevi F. M; Neha Jain; Akshata Badni; Ranjeeta Angadi; Shankar Gangisetty (ICVGIP, 2023)

Early Anticipation of Driving Maneuvers. - Abdul Wasi; Shankar Gangisetty; Shyam Nandan Rai; C. V. Jawahar (ECCV (70), 2024)

ICPR 2024 Competition on Rider Intention Prediction. - 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 (34), 2024)

Visual Place Recognition in Unstructured Driving Environments. - Utkarsh Rai; Shankar Gangisetty; A. H. Abdul Hafez; Anbumani Subramanian; C. V. Jawahar (IROS, 2024)

A Dataset for Semantic Segmentation in the Presence of Unknowns. - Zakaria Laskar; Tomas Vojir; Matej Grcic; Iaroslav Melekhov; Shankar Gangisetty; Juho Kannala; Jiri Matas; Giorgos Tolias; C. V. Jawahar (CVPR, 2025)

Pedestrian Intention and Trajectory Prediction in Unstructured Traffic Using IDD-PeD. - Ruthvik Bokkasam; Shankar Gangisetty; A. H. Abdul Hafez; C. V. Jawahar (CoRR, 2025)