Srikar Yellapragada

6 papers · 2024–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

CVPR (2) ECCV (1) ICCV (1) MICCAI (1) WACV (1)

Top co-authors

Joel Saltz (6) Dimitris Samaras (6) Alexandros Graikos (5) Prateek Prasanna (5) Minh-Quan Le (2) Kostas Triaridis (2) Saarthak Kapse (2) Rajarsi Gupta (2) Srijan Das (1) Zilinghan Li (1)

Research topics

Computer Vision (4) Deep Learning (4) Domain-Specific (3) Generation (3) Models (3) Healthcare & Medicine (2) Machine Learning (2) Clinical (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Core AI (1) Techniques (1)

Keywords

histopathology image (2) latent diffusion model (2) self-supervised learning (2) image synthesis (1) text-to-image generation (1) remote sensing (1) multiple instance learning (1) generative model (1) diffusion model (1) vision-language model (1) whole slide image (1) digital pathology (1) multimodal pretraining (1) computational pathology (1) whole slide imaging (1) multi-scale image generation (1) concept prior (1) large image synthesis (1) contrastive learning (1) large-image generation (1)

Papers

GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology ICCV 2025 Pathology Image Compression with Pre-trained Autoencoders MICCAI 2025 ZoomLDM: Latent Diffusion Model for Multi-scale Image Generation CVPR 2025 ∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions ECCV 2024 Learned Representation-Guided Diffusion Models for Large-Image Generation CVPR 2024 PathLDM: Text Conditioned Latent Diffusion Model for Histopathology WACV 2024