Anirudh Sundara Rajan

Anirudh Sundara Rajan

Deep Learning Researcher

Preprints and Publications

You can also find my articles on my Google Scholar profile.

From Plans to Pixels: Learning to Plan and Orchestrate for Open-Ended Image Editing

Venue: Preprint

Authors: Anirudh Sundara Rajan, Krishna Kumar Singh, Yong Jae Lee

Planning and orchestration for open-ended image editing.

📄 Read on arXiv 🔬 Project Page

Reasoning-Augmented Representations for Multimodal Retrieval

Venue: Preprint

Authors: Jianrui Zhang, Anirudh Sundara Rajan, Brandon Han, Soochahn Lee, Sukanta Ganguly, Yong Jae Lee

Reasoning-augmented representations for universal multimodal retrieval.

📄 Read on arXiv 💻 Code on GitHub

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection

Venue: CVPR 2026

Authors: Zeyi Huang, Yuyang Ji, Anirudh Sundara Rajan, Zefan Cai, Wen Xiao, Haohan Wang, Junjie Hu, Yong Jae Lee

Reinforcement learning for adaptive visual tool selection.

📄 Read on arXiv 🔬 Project Page 💻 Code on GitHub

Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection

Venue: ICML 2025

Authors: Anirudh Sundara Rajan, Yong Jae Lee

Learning what makes an image real harms the fake image detector!

📄 Read on arXiv 🔬 Project Page 💻 Code on GitHub

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images

Venue: ICLR 2025

Authors: Anirudh Sundara Rajan*, Utkarsh Ojha*, Jedidiah Schloesser, Yong Jae Lee

(*Joint first authors*)

Fake images that look real help detectors avoid chasing the wrong patterns.

📄 Read on arXiv 🔬 Project Page 💻 Code on GitHub

What Knowledge Gets Distilled in Knowledge Distillation?

Venue: NeurIPS 2023

Authors: Utkarsh Ojha*, Yuheng Li*, Anirudh Sundara Rajan*, Yingyu Liang, Yong Jae Lee

(*Joint first authors*)

The teacher can transfer some really cool, hidden properties to the student!

📄 Read on arXiv