Publications

Journal

1. Yifan Feng, Yue Gao, Xibin Zhao, Yandong Guo, Nihar Bagewadi, Nhat-Tan Bui, Hieu Dao, Shankar Gangisetty et al., SHREC’22 track: Open-Set 3D Object Retrieval, Computers & Graphics, Volume 107, pp. 231-240, 2022. [DOI]

2. Shankar Gangisetty, Raghu Raj Rai, FloodNet: Underwater image restoration based on residual dense learning, Signal Processing: Image Communication, Volume 104, 2022. [DOI]

3. Shankar Gangisetty, Raghu Raj Rai, Underwater image restoration using deep encoder–decoder network with symmetric skip connections, SIViP 16, pp. 247–255, 2022. [DOI]

4. Ivan Sipiran, Patrick Lazo, Cristian Lopez, Milagritos Jimenez, Nihar Bagewadi, Shankar Gangisetty et al., SHREC 2021: Retrieval of Cultural Heritage Objects, Computers & Graphics, Volume 100,  pp. 1-20, 2021. [DOI]

5. Tao Ku, Sam Galanakis, Bas Boom, Remco  C. Veltkamp, Darshan Bangera, Shankar Gangisetty et al., SHREC 2021: 3D Point cloud change detection for street scenes, Computers & Graphics, Volume 99, pp. 192-200, 2021. [DOI]

6. Sindhu Hegde and Shankar Gangisetty, PIG-Net: Inception based deep learning architecture for 3D point cloud segmentation, Computers & Graphics, Volume 95, pp. 13-22, 2021. [DOI] [arXiv] [Webpage]

7. Tao Ku, Remco C. Veltkamp, Bas Boom, Kiran Akadas, Shankar Gangisetty et al., SHREC 2020: 3D point cloud semantic segmentation for street scenes, Computers & Graphics, Volume 93, pp. 13-24, 2020. [Github]

8. Shankar Setty and Uma Mudenagudi, Region of Interest Based 3D Inpainting of Cultural Heritage Artifacts, Journal on Computing and Cultural Heritage (JOCCH), Volume 11, Issue 2, ACM, pp.1-21, 2018.

9. Shankar Setty and Uma Mudenagudi, Example-based 3D Inpainting of Point Clouds using Metric Tensor and Christoffel Symbols, Journal of Machine Vision and Applications (MVA), Volume 29, Issue 2, Springer-Verlag, pp. 329-343, 2018.  

10. Shankar Setty  and P. G. Sunitha Hiremath, Integrated Learning Framework towards Attaining Focused Outcomes, Journal of Engineering Education Transformations (JEET), Special Issue, pp. 159-164, 2015.

Book/Book Chapter

1. Uma Mudenagudi, Shankar Setty, and Syed Altaf Ganihar, Realistic Walkthrough of Cultural Heritage Sites, In Book - Digital Hampi: Preserving Indian Cultural Heritage, Springer, 2017, pp. 131-147.

Conference

1. Shamanthak Hegde, Soumya Jahagirdar and Shankar Gangisetty, Making the V in Text-VQA Matter, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 5580-5588, 2023. [Paper] [arXiv]

2. Charani Alampalle, Shamanthak Hegde, Soumya Jahagirdar and Shankar Gangisetty, Weakly Supervised Visual Question Answer Generation, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023. [Paper] [arXiv]

3. A. Narayan, B. S. Mishra, P. G. S. Hiremath, N. T. Pendari and Shankar Gangisetty, An Ensemble of Transformer and LSTM Approach for Multivariate Time Series Data Classification, IEEE International Conference on Big Data (Big Data), pp. 5774-5779, 2021. [DOI]

4. Neeta Shinde, Chandana S, Shashank Anand Patil, Siri Chandana K, Neha Tarannum Pendari, P G Sunitha Hiremath, and Shankar Gangisetty, Stacked LSTM Based Wafer Classification, IEEE International Conference on Big Data (Big Data), pp. 5786-5790, 2021. [DOI] 

5. Soumya Jahagirdar, Shankar Gangisetty and Anand Mishra, Look, Read and Ask: Learning to Ask Questions by Reading Text in Images, International Conference on Document Analysis and Recognition (ICDAR), Lecture Notes in Computer Science, vol 12821, Springer 2021, pp 335-349. [DOI] [GitHub] [Webpage][OpenAccess]

6. Kiran Akadas, Shankar Gangisetty, 3D Semantic Segmentation for Large-Scale Scene Understanding, Computer Vision – ACCV 2020 Workshops, Lecture Notes in Computer Science, vol 12628, Springer 2021, pp 87-102. [DOI] [Github]

7. Ashish Kar, P G Sunitha Hiremath, Shankar Gangisetty, Generative Adversarial Network based Language Identification for Closely Related Same Language Family, Advances in Computing and Network Communications, Lecture Notes in Electrical Engineering, vol 736, Springer 2021, pp 235-248. [DOI]

8. Sindhu Hegde, Raghu Raj Rai, P G Sunitha Hiremath, Shankar Gangisetty, Fake Review Detection using Hybrid Ensemble Learning, Advances in Computing and Network Communications, Lecture Notes in Electrical Engineering, vol 736, Springer 2021, pp 259-269. [DOI].

9. Shankar Gangisetty and Sindhu Hegde, An Evaluation of Feature Encoding Techniques for Non-Rigid and Rigid 3D Point Cloud Retrieval, British Machine Vision Conference (BMVC), 2019.

10. Sindhu Hegde, Shankar Setty and Uma Mudenagudi, 3DOC: A Framework for Categorization of Rigid and Non-Rigid 3D Objects, Computer Vision and Pattern Recognition - Women in Computer Vision workshop (CVPR-WiCV), ACM, 2019 (Show).

11. Shankar Setty, Sindhu Hegde, Supriya Satyappanavar, and Uma Mudenagudi, Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects, Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), ACM, 2018, pp. 1-9.

12. Sindhu Hegde, Supriya Satyappanavar, and Shankar Setty, Sentiment based Food Classification for Restaurant Business, International Conference on Advances in Computing, Communications and Informatics (ICACCI) IEEE, 2018, pp. 1455-1462. 

13. Sindhu Hegde, Supriya Satyappanavar, and Shankar Setty, Restaurant Setup Business Analysis using Yelp Dataset, International Conference on Advances in Computing, Communications and Informatics (ICACCI) IEEE, 2017, pp. 2342-2348.

14. Shankar Setty, Himanshu Shekhar, and Uma Mudenagudi, Region of interest (ROI) based 3D inpainting, In SIGGRAPH ASIA Posters, ACM, Article 33, 2016, pp. 1-2.

15. Himanshu Shekhar, Shankar Setty, and Uma Mudenagudi, Vehicular Traffic Analysis from Social Media Data, In ICACCI, IEEE, 2016, pp. 1628-1634.

16. Shankar Setty, Syed Altaf Ganihar, and Uma Mudenagudi, Framework for 3D Object Hole Filling, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IEEE, 2015, pp. 1-4.

17. Himanshu Shekhar and Shankar Setty, Disaster Analysis through Tweets, In ICACCI, IEEE, 2015, pp. 1719-1723.

18. Uma Mudenagudi, Shankar Setty, Syed Altaf Ganihar, Shreyas Joshi, G. Rahul, Somashekhar Dhotrad, Meera Natampally, and Prem Kumar Kalra, Realistic Walkthrough of Cultural Heritage Sites-Hampi, In Computer Vision - ACCV 2014 Workshops, Lecture Notes in Computer Science, Volume 9009, Springer, 2015, pp. 554-566.

19.  Shankar Setty, Syed Altaf Ganihar, Shreyas Joshi, and Uma Mudenagudi, Metric Tensor and Christoffel Symbols Based 3D Object Categorization, In Computer Vision - ACCV 2014 Workshops, Lecture Notes in Computer Science, Volume 9010, Springer, 2015, pp. 138-151.

20.  Shankar Setty, Syed Altaf Ganihar, Shreyas Joshi, and Uma Mudenagudi, 3D Object Super Resolution using Metric Tensor and Christoffel Symbols, Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP), Article 87, ACM, 2014, pp. 1-8. 

21. Shankar Setty, Rajendra Jadi, Sabya Shaikh, Chandan Mattikalli, and Uma Mudenagudi, Classification of Facebook News Feeds and Sentiment Analysis, In ICACCI, IEEE, 2014, pp.18-23.

22. Shankar Setty, Syed Altaf Ganihar, Shreyas Joshi, and Uma Mudenagudi, 3D Object Decomposition and Super Resolution, In SIGGRAPH Asia 2014 Posters, Article 5, ACM, pp. 1-1. 

23. Shankar Setty, Syed Altaf Ganihar, Shreyas Joshi, and Uma Mudenagudi, Metric Tensor and Christoffel Symbols based 3D Object Categorization, In SIGGRAPH 2014 Posters, Article 38, ACM, pp. 1-1.

24. Shankar Setty et al., Indian Movie Face Database: A Benchmark for Face Recognition Under Wide Variations, In NCVPRIPG, IEEE, 2013, pp. 1-5.

25. Shankar Setty, Swathi Shetty, Shilpa Sollapur, and Uma Mudenagudi, Multi-class Video Categorization using Noise Free Text Features, In ICDMW, Elsevier, 2013, pp. 86-92.