Srikar Yellapragada

According to our database, Srikar Yellapragada authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CDG-MAE: Learning Correspondences from Diffusion Generated Views.

Varun Belagali, Pierre Marza, Srikar Yellapragada, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Joel H. Saltz, Stergios Christodoulidis, Maria Vakalopoulou, Dimitris Samaras

CoRR, June, 2025

PixCell: A generative foundation model for digital histopathology images.

Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis, Varun Belagali, Saarthak Kapse, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Tahsin M. Kurç, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras

CoRR, June, 2025

PathSegDiff: Pathology Segmentation using Diffusion model representations.

Sachin Kumar Danisetty, Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

CoRR, April, 2025

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology.

Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna

CoRR, April, 2025

Pathology Image Compression with Pre-trained Autoencoders.

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras

CoRR, March, 2025

Leveraging Registers in Vision Transformers for Robust Adaptation.

Srikar Yellapragada, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Wesam Sakla, Yang Liu, Yamen Mubarka, Dimitris Samaras, Jayaraman J. Thiagarajan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation.

Srikar Yellapragada, Alexandros Graikos, Kostas Triaridis, Prateek Prasanna, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Gen-SIS: Generative Self-augmentation Improves Self-supervised Learning.

Varun Belagali, Srikar Yellapragada, Alexandros Graikos, Saarthak Kapse, Zilinghan Li, Tarak Nath Nandi, Ravi K. Madduri, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras

CoRR, 2024

PathLDM: Text conditioned Latent Diffusion Model for Histopathology.

Srikar Yellapragada, Alexandros Graikos, Prateek Prasanna, Tahsin M. Kurç, Joel H. Saltz, Dimitris Samaras

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions.

Minh-Quan Le, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel H. Saltz, Dimitris Samaras

Proceedings of the Computer Vision - ECCV 2024, 2024

CCTV-Gun: Benchmarking Handgun Detection in CCTV Images.

Zhenghong Li, Srikar Yellapragada, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Bin Zhang, Haibin Ling

Proceedings of the Dynamic Data Driven Applications Systems - 5th International Conference, 2024

Learned Representation-Guided Diffusion Models for Large-Image Generation.

Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, Saarthak Kapse, Prateek Prasanna, Joel H. Saltz, Dimitris Samaras

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Conditional Generation from Unconditional Diffusion Models using Denoiser Representations.

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

CoRR, 2023

CCTV-Gun: Benchmarking Handgun Detection in CCTV Images.

Srikar Yellapragada, Zhenghong Li, Kevin Bhadresh Doshi, Purva Makarand Mhasakar, Heng Fan, Jie Wei, Erik Blasch, Haibin Ling

CoRR, 2023

Conditional Generation from Pre-Trained Diffusion Models using Denoiser Representations.

Alexandros Graikos, Srikar Yellapragada, Dimitris Samaras

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2020

Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study.

Luyao Shi, Deepta Rajan, Shafiq Abedin, Manikanta Srikar Yellapragada, David Beymer, Ehsan Dehghan

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Deep Learning Based Detection of Acute Aortic Syndrome in Contrast CT Images.

Manikanta Srikar Yellapragada, Yiting Xie, Benedikt Graf, David Richmond, Arun Krishnan, Arkadiusz Sitek

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Variational Bayes: A report on approaches and applications.

Manikanta Srikar Yellapragada, Konkimalla Chandra Prakash

CoRR, 2019