Welcome! I'm Adheesh Juvekar
PhD Student at University of Illinois at Urbana-Champaign
I'm a Computer Science PhD student at PLAN Lab, UIUC, advised by Dr. Ismini Lourentzou. My research interests are in Multimodal Learning and Generative AI, with a focus on building models that can understand and create visual content in ways that are grounded, controllable, and interpretable.
I’m open to collaborations and always interested in discussing new research ideas, feel free to reach out via email. If you’re a self-motivated undergraduate (especially at UIUC) interested in working on Generative AI / multimodal projects feel free to reach out via email.
Research Areas
Multimodal Learning & Generative AI
I'm particularly interested in multimodal understanding, image/video generation. Currently, I am exploring hallucination mitigation in grounded vision-language models and controllable image/video generation with diffusion/flow-based models. I'm also interested in emerging direction at the intersection of generation and perception such as 3D-consistent generation, egocentric video understanding/editing as a step towards reliable and robust world models.
Recent Publications
One Editor, Many Edits: A Unified Training-free Framework for Diverse Video Edits
Adheesh Juvekar, Onkar Kishor Susladkar, Kiet A. Nguyen, Nabeel Bashir, Xiaona Zhou, Muntasir Wahed, Vedant Shah, Ismini Lourentzou
In preparation • 2026
In preparation
GraphVid: Interactive Graph Control Video Generation
Vedant Shah, Onkar Kishor Susladkar, Tushar Prakash, Kiet A. Nguyen, Tianjiao Yu, Adheesh Juvekar, Muntasir Wahed, Ismini Lourentzou
In preparation • 2026
In preparation
Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching
Onkar Susladkar, Tushar Prakash, Gayatri Deshmukh, Kiet A Nguyen, Jiaxun Zhang, Adheesh Juvekar, Tianshu Bao, Lin Chai, Sparsh Mittal, Inderjit S Dhillon, Ismini Lourentzou
arXiv preprint arXiv:2602.12221 • 2026
PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation
Onkar Susladkar, Tushar Prakash, Adheesh Juvekar, Kiet A Nguyen, Dong-Hwan Jang, Inderjit S Dhillon, Ismini Lourentzou
arXiv preprint arXiv:2601.16210 • Accepted at CVPR 2026
In preparation for camera-ready
Counterfactual Segmentation Reasoning: Diagnosing and Mitigating Pixel-Grounding Hallucination
Xinzhuo Li*, Adheesh Juvekar*, Xingyou Liu, Muntasir Wahed, Kiet A Nguyen, Ismini Lourentzou
arXiv preprint arXiv:2506.21546 • Accepted at CVPR 2026
* Equal contribution • In preparation for camera-ready
RewardFlow: Generate Images by Optimizing What You Reward
Onkar Kishor Susladkar, Dong-Hwan Jang, Tushar Prakash, Adheesh Juvekar, Vedant Shah, Ayush Barik, Muntasir Wahed, Ritish Shrirao, Ismini Lourentzou
Accepted at CVPR 2026
In preparation for camera-ready
CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models
Kiet A Nguyen, Adheesh Juvekar, Tianjiao Yu, Muntasir Wahed, Ismini Lourentzou
Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) • 2025
Uncertainty in Action: Confidence Elicitation in Embodied Agents
Tianjiao Yu, Vedant Shah, Muntasir Wahed, Kiet A. Nguyen, Adheesh Juvekar, Tal August, Ismini Lourentzou
arXiv preprint arXiv:2503.10628 • 2025
Prima: Multi-image vision-language models for reasoning segmentation
Muntasir Wahed*, Kiet A Nguyen*, Adheesh Juvekar, Xinzhuo Li, Xiaona Zhou, Vedant Shah, Tianjiao Yu, Pinar Yanardag, Ismini Lourentzou
arXiv preprint arXiv:2412.15209 • 2024
* Equal contribution
MetaCompare 2.0: Differential ranking of ecological and human health resistome risks
Monjura Afrin Rumi, Min Oh, Benjamin C Davis, Connor L Brown, Adheesh Juvekar, Peter J Vikesland, Amy Pruden, Liqing Zhang
FEMS Microbiology Ecology • 2024