Publications & Resources

Published:

1. H. Desai, D. Pal, A. Jha, A. Hati, B. Banerjee, "RS-MCQA: Multi-class Question Aware Visual Question Answering for Optical Remote Sensing Datasets", Proc. 2023 International Symposium on Signals, Circuits and Systems (ISSCS), Iasi, Romania, July 2023, pp. 1-4. [IEEE Link]

2. U. Patel, S. Bhilare and A. Hati, "Enhancing Transferability of Adversarial Audio in Speaker Recognition Systems",  Proc. 11th IAPR Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Alicante, Spain, June 2023, pp. 617-628. [Springer link]. 

3. A. Hati, R. Velmurugan, S. Banerjee, S. Chaudhuri, "Image Co-segmentation", Studies in Computational Intelligence, vol. 1082, Springer Nature Singapore, Feb 2023. [Springer link]

4. K. Vaishnani, B. Gohel, A. Hati, "Impact of Stain Normalisation Technique on Deep Learning based Nuclei Segmentation in Histopathological Image", Proc. 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Feb 2023, pp. 1-4. [IEEE Link]

5. K. Mehta, M. Khare, A. Hati, "Integration of GAN and Adaptive Exposure Correction for Shadow Removal", Proc. 7th IAPR International Conference on Computer Vision & Image Processing (CVIP), Nagpur, Nov 2022, pp. 161-175. [Springer link]

6. S. Gajjar, A. Hati, S. Bhilare and S. Mandal, "Generating Targeted Adversarial Attacks and Assessing their Effectiveness in Fooling Deep Neural Networks," Proc. 14th IEEE International Conference on Signal Processing and Communications (SPCOM), Bangalore, Jul 2022, pp. 1-5. [IEEE Link] [GitHub code]

7. M. Shah, S. Mandal, S. Bhilare and A. Hati, "Increasing Transferability by Imposing Linearity and Perturbation in Intermediate Layer with Diverse Input Patterns," Proc. 14th IEEE International Conference on Signal Processing and Communications (SPCOM), Bangalore, Jul 2022, pp. 1-5. [IEEE Link]

8. A. Hati, M. Bustreo, D. Sona, V. Murino, A. Del Bue, "Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans", Proc. 25th IAPR International Conference on Pattern Recognition (ICPR 2020), Milan, Jan 2021, pp. 5565-5572. [IEEE Link] [arXiv version]

9. S. Banerjee, A. Hati, S. Chaudhuri, R. Velmurugan, "CoSegNet: Image Co-segmentation using a Conditional Siamese Convolutional Network", Proc. 28th International Joint Conference on Artificial Intelligence (IJCAI), Macao, Aug 2019, pp. 673-679. [pdf]

10. S. Banerjee, A. Hati, S. Chaudhuri, R. Velmurugan, "Image Co-segmentation using Graph Convolution Neural Network", Proc. 11th Indian Conference on Vision, Graphics and Image Processing (ICVGIP), Hyderabad, Dec 2018, pp. 57:1-57:9. [ACM link] [pdf] 

11. A. Hati, S. Chaudhuri, R. Velmurugan, "Co-segmentation of Non-homogeneous Image Sets", Proc. 25th IEEE International Conference on Image Processing (ICIP), Athens, Oct 2018, pp. 266-270. [iCoseg570 Dataset] [Presentation Slides] [IEEE link] [pdf]

12. A. Hati, S. Chaudhuri, R. Velmurugan, "An Image Texture Insensitive Method for Saliency Detection", Elsevier Journal of Visual Communication and Image Representation, vol. 43, pp. 212–226, Jan 2017. [Elsevier link] [code] [pdf]

13. A. Hati, S. Chaudhuri, R. Velmurugan, "Image Co-segmentation using Maximum Common Subgraph Matching and Region Co-growing", Proc. 14th European Conference on Computer Vision (ECCV), Amsterdam, Oct 2016, pp. 736–752. [Poster] [Springer link] [code] [pdf]

14. A. Hati, S. Chaudhuri, R. Velmurugan, "Salient Object Carving", Proc. 22nd IEEE International Conference on Image Processing (ICIP), Quebec City, Sep 2015, pp. 1767–1771. [Poster] [IEEE link] [pdf]

15. A. Hati, S. Chaudhuri, R. Velmurugan, "Saliency Detection based on a Sparsity of Segments Model", Proc. 9th Indian Conference on Vision, Graphics and Image Processing (ICVGIP), Bangalore, Dec 2014, pp. 40:1-40:8. [Poster] [ACM link] [pdf]