Srikrishna Karanam

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.

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence

Publications

September 8, 2026 ECCV 2026

RefDiT: Local Attribute Guidance in Reference-Based Image Generation

Rameshwar Mishra, Srikrishna Karanam, A V Subramanyam

June 3, 2026 Conference on Computer Vision and Pattern Recognition (CVPR 2026) - AAVM Workshop

Test-time Conditional Text-to-Image Synthesis Using Diffusion Models

Tripti Shukla, Srikrishna Karanam, Balaji Vasan Srinivasan

June 3, 2026 Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach

Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi

June 3, 2026 Conference on Computer Vision and Pattern Recognition (CVPR 2026 Findings)

LiteEmbed: Adapting CLIP to Rare Classes

Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi

May 31, 2026 Transactions on Machine Learning Research

GENIE: A Visual-Only Diffusion Framework for TaskAgnostic Image Transformation

Uddeshya Singh, Aniket Thomas, Aishwarya Agarwal, Srikrishna Karanam, Biplab Banerjee

January 20, 2026 AAAI 2026

Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts

Kiran Chhatre, Christopher E. Peters, Srikrishna Karanam

December 7, 2025 Workshop on Unifying Representations in Neural Models, 39th Annual Conference on Neural Information Processing Systems (NeurIPS)

TextIT: Inference-Time Representation Alignment for Improved Visual Text Generation in Diffusion Models

Abhikhya Tripathy, Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan

October 28, 2025 ACM International Conference on Multimedia (ACM MM 2025)

CoCoNO: Attention contrast-and-complete for initial noise optimization in text-to-image synthesis

Aravindan Sundaram, Ujjayan Pal, Abhimanyu Chauhan, Aishwarya Agarwal, Srikrishna Karanam

June 10, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction

Aishwarya Agarwal, Srikrishna Karanam, Vineet Gandhi

Highlight Poster

June 10, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025) - CVEU workshop

Training-free Color-Style Disentanglement for Constrained Text-to-Image Synthesis

Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan

June 10, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Composing Parts for Expressive Object Generation

Harsh Rangwani, Aishwarya Agarwal, Kuldeep Kulkarni, R. Venkatesh Babu, Srikrishna Karanam

February 28, 2025 Winter Conference on Applications of Computer Vision (WACV)

AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models

Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan

February 28, 2025 Winter Conference on Applications of Computer Vision (WACV)

An Image is Worth Multiple Words: Multi-attribute Inversion for Constrained Text-to-Image Synthesis

Aishwarya Agarwal, Srikrishna Karanam, Tripti Shukla, Balaji Vasan Srinivasan

September 29, 2024 European Conference on Computer Vision (ECCV)

SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation

Sayan Nag, Koustava Goswami, Srikrishna Karanam

April 16, 2024 USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Approximate Caching for Efficiently Serving Diffusion Models

Shubham Agarwal, Subrata Mitra, Sarthak Chakraborty, Srikrishna Karanam, Koyel Mukherjee, Shiv Saini

February 22, 2024 AAAI 2024

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, Joseph K J, Balaji Vasan Srinivasan

January 4, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Domain Adaptive 3D Shape Retrieval From Monocular Images

Harsh Pal, Ritwik Khandelwal, Shivam Pande, Biplab Banerjee, Srikrishna Karanam

January 4, 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Iterative Multi-Granular Image Editing Using Diffusion Models

Joseph K J, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan

October 2, 2023 International Conference on Computer Vision (ICCV)

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

Aishwarya Agarwal, Srikrishna Karanam, Joseph K J, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

May 2, 2023 Findings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

A Neural CRF-based Hierarchical Approach for Linear Text Segmentation

Inderjeet Nair, Aparna Garimella, Balaji Vasan Srinivasan, Natwar Modani, Niyati Chhaya, Srikrishna Karanam, Sumit Shekhar

January 3, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

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

Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan, Biplab Banerjee

News

Using machine learning to infuse images with an on-brand look and feel

Adobe Research scientist Srikrishna Karanam is making visually cohesive branding easier with AI. His work on On-brand Recolor in Adobe Express helps businesses apply brand colors effortlessly with just one click.

February 18, 2025