Srikrishna Karanam

Research Scientist

Bangalore

Srikrishna Karanam earned his PhD in Computer and Systems Engineering from Rensselaer Polytechnic Institute, where he worked with Prof. Rich Radke on video analytics problems in wide-area camera networks. Subsequently, he worked as a research scientist at Siemens Corporate Research in Princeton NJ, USA and United Imaging Intelligence in Boston MA, USA, where his research was focused on problems in computer vision and machine learning with applications in industrial automation, digitization, and healthcare.

More information, including a full list of publications, can be found at his personal website.

Publications

Approximate Caching for Efficiently Serving Diffusion Models

Agarwal, S., Mitra, S., Chakraborty, S., Karanam, S., Mukherjee, K., Saini, S. (Apr. 16, 2024)

USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Iterative Multi-Granular Image Editing Using Diffusion Models

J, J., Udhayanan, P., Shukla, T., Agarwal, A., Karanam, S., Goswami, K., Srinivasan, B. (Jan. 4, 2024)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Domain Adaptive 3D Shape Retrieval From Monocular Images

Pal, H., Khandelwal, R., Pande, S., Banerjee, B., Karanam, S. (Jan. 4, 2024)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis

Agarwal, A., Karanam, S., J, J., Saxena, A., Goswami, K., Srinivasan, B. (Oct. 2, 2023)

International Conference on Computer Vision (ICCV)

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation

Nair, I., Garimella, A., Srinivasan, B., Modani, N., Chhaya, N., Karanam, S., Shekhar, S. (May. 2, 2023)

Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval

Agarwal, A., Karanam, S., Srinivasan, B., Banerjee, B. (Jan. 3, 2023)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)