Nima Tajbakhsh

3 papers · 2016–2025 · 3 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 · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

Venues

CVPR (1) ICCV (1) WACV (1)

Top co-authors

Jianming Liang (2) Ali Taghibakhshi (1) Arash Vahdat (1) Christopher B. Kendall (1) Ruibin Feng (1) Sahil Jain (1) Yoshua Bengio (1) Rohit Jena (1) R. Todd Hurst (1) Michael B. Gotway (1)

Research topics

Deep Learning (3) Computer Vision (2) Models (2) Artificial Intelligence (1) Healthcare & Medicine (1) Machine Learning (1) Architectures (1) Clinical (1) Domain-Specific (1) Generation (1) Learning Paradigms (1) Optimization & Theory (1)

Keywords

image segmentation (1) object detection (1) medical imaging (1) image-to-image translation (1) disease detection (1) convolutional neural network (1) reward hacking (1) generative adversarial network (1) domain translation (1) text-to-image diffusion (1) video processing (1) image diversity (1) pareto optimization (1) kl divergence regularization (1) ultrasound video (1) lora scaling (1) fixed-point translation (1) carotid intima-media thickness (1)

Papers

Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models WACV 2025 Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization ICCV 2019 Automating Carotid Intima-Media Thickness Video Interpretation With Convolutional Neural Networks CVPR 2016