| Memory Augmented Networks for Incremental Semantic Segmentation R Venkataramani, H Ravishankar, S Anamandra 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 28* | 2019 |
| Exemplar-based color image inpainting: a fractional gradient function approach. SH Anamandra, V Chandrasekaran Pattern Anal. Appl. 17 (2), 389-399, 2014 | 24* | 2014 |
| Feature transformers: privacy preserving lifelong learners for medical imaging H Ravishankar, R Venkataramani, S Anamandra, P Sudhakar, P Annangi Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 18 | 2019 |
| A fast and simple gradient function guided filling order prioritization for exemplar-based color image inpainting A Sai Hareesh, V Chandrasekaran IEEE International Conference on Image Processing (ICIP), Hong Kong, 409-412, 2010 | 10* | 2010 |
| Towards Continuous Domain adaptation for Healthcare R Venkataramani, H Ravishankar, S Anamandra NeurIPS, ML4H workshop 2018, 2018 | 8 | 2018 |
| COLOR CHILD: A Novel Color Image Local Descriptor for Texture Classification and Segmentation A Sai Hareesh, V Chandrasekaran Pattern Analysis and Applications 19 (3), 821-837, 2016 | 6* | 2016 |
| Exemplar-Based Color Image Inpainting Using a Simple and Effective Gradient Function. A Sai Hareesh, V Chandrasekaran IPCV, 140-145, 2010 | 6* | 2010 |
| A Unified Framework for Geometry and Exemplar Based Image Inpainting V Sairam, R Raghunatha Sarma, S Balasubramanian, A Sai Hareesh IEEE International Conference in Image Information Processing (ICIIP), Simla …, 2013 | 4 | 2013 |
| CHILD: A robust Computationally-Efficient Histogram-based Image Local Descriptor A Sai Hareesh, V Chandrasekaran Computer Vision, Pattern Recognition, Image Processing and Graphics …, 2013 | 3* | 2013 |
| Similarity between max min and <R|V> technique with reference to two diseases diarrhea and diabetes RK Tripathi, VV Raich, K Dookhitram, SK SK Dayal, A Sai Hareesh IEEE National Conference on Computational Intelligence and Signal Processing …, 2012 | 3 | 2012 |
| COLOR CHILD: A robust and computationally efficient Color Image Local Descriptor A Sai Hareesh, V Chandrasekaran IEEE Winter Conference on Applications of Computer Vision, 227-234, 2014 | 2* | 2014 |
| A Novel Color Image Inpainting Guided by Structural Similarity Index Measure and Improved Color Angular Radial Transform. A Sai Hareesh, V Chandrasekaran IPCV, 544-550, 2010 | 2* | 2010 |
| GPU accelerated video super resolution using transformed spatio-temporal exemplars CPT Kondapalli, S Khanna, V Chandrasekaran, PK Baruah, DK Pingali, ... International Journal of Grid and Utility Computing 10 (4), 295-307, 2019 | 1 | 2019 |
| Hybrid Method for Image Super-Resolution Using Steering Kernel Regression and Example-based Approaches A Sai Hareesh, C Lalith Srikanth, V Chandrasekaran IEEE International Conference in Image Information Processing(ICIIP), Shimla …, 2013 | 1 | 2013 |
| Relation between neutral element and annihilator in absorption equation A Sai Hareesh, P Akella Fuzzy Sets and Systems 228, 145-151, 2013 | 1* | 2013 |
| A computationally efficient approach for exemplar-based color image inpainting using GPU D Pradhan, M Naveen, PK Baruah, V Chandrasekaran hgpu. org, 2012 | 1 | 2012 |
| System and method for memory augmented domain adaptation R Venkataramani, R Mullick, S Kaushik, H Ravishankar, SH Anamandra US Patent 11,651,584, 2023 | | 2023 |
| System and method for using a deep learning network over time R Venkataramani, SH Anamandra, H Ravishankar, P Sudhakar US Patent 11,580,384, 2023 | | 2023 |
| Emotional AI PM Sai Hareesh Anamandra, Rohit Jalagadugula, Kavitha Krishnan, Vinay George Roy SAP Technology Radar, 2022 | | 2022 |
| How can AI reduce time spent on categorizing CSPs’ financial data? COB Joy Bose, Rahul Sharma, Sai Hareesh Anamandra, Amit Sharma, Ricky Schwartz https://www.ericsson.com/en/blog/2021/3/ai-for-categorizing-telecom-data, 2021 | | 2021 |
Venkatachalam Chandrasekaran(Retd) Hon. Professor of Mathematics and Computer Science, SSSIHLVerified email at sssihl.edu.in