Double blind peer review

I'm hiring grad students! Check out our group at tcig.ca—we're a multi-disciplinary team at #UofTCompSci that spans imaging, 3D vision, graphics, machine learning, sensors, and astronomy. Apply here cs.toronto.edu 🧵

With PhD applications due soon, thousands of young people are currently beginning their statements of purpose with the same cliché story, or the same anodyne statement Stop right now! Here are 10 thoughts for doing this right. Helps you, and helps admissions committees.👇

New paper "Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach" presents a new method for data-driven representation of 3D seismic volumes given irregularly sampled data. arxiv.org/abs/2211.11889

Very impressive!

Excited to share my recent work “DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model” considers cross-modality generation in magnetic resonance imaging (MRI) using a 2.5D conditional diffusion model. ⭑ Read here: arxiv.org/abs/2311.18073.

I will be at #NeurIPS2023 next week from 12/10-12/16 and look forward to meeting old and new friends! I would love to connect and chat about inverse problems, generative models, and medical imaging. Feel free to drop me a message if you'd like to chat with me. :)

Some other highlights from Electronic Imaging. Interesting papers on iterative approaches to the solution of inverse problems including methods for posterior sampling. mauricio delbracio presented InDI. Yu Sun on using diffusion models and Greg Buzzard on Generative Plug-and-Play.

I am co-organizing Computational Cameras and Display Workshop (CCD) #CVPR2026 with Mark Sheinin, Yi Xue, and Kristina Monakhova Date: June 18 Location: Arch 204 We have an excellent line up of speakers and posters. More info: csiplab.github.io/ccd2024/

I am looking to hire several Ph.D. students starting Fall 2025 JHU ECE. Anyone who is passionate for computational imaging/machine learning/statistical inference is welcome to apply. MS/Postdoc positions are also available! Here is the link: forms.gle/dFyftuPTSCqSTa… #PhDposition

Excited to share Flash-Splat, our ECCV 2024 paper on 3D reflection removal! Precise separation of transmitted & reflected 3D scenes by simply capturing one video with your camera flash on and one video with flash off! Project Page: flash-splat.github.io youtu.be/vKj81DCMUGw

Interested in what goes into a faculty application or interview process? AMA!

Excited to share the DSAI Postdoc Fellowship Program at Johns Hopkins University! If you're passionate about advancing AI for computational imaging, this is the place to be! 💡 Apply now and mention my name if you're interested in collaborating with me! 👉 link: apply.interfolio.com/158121

NeurIPS acknowledges that the cultural generalization made by the keynote speaker today reinforces implicit biases by making generalisations about Chinese scholars. This is not what NeurIPS stands for. NeurIPS is dedicated to being a safe space for all of us. We want to address

We present InverseBench, a framework for benchmarking plug-and-play diffusion approaches for inverse problems in physical sciences. (#ICLR2025 Spotlight) PnP diffusion approaches are attractive for scientific inverse problems because they offer flexibility in incorporating

I am honored to receive the Rising Star award from CPAL! Look forward to seeing everyone at Stanford 🤩

As part of today’s ESE Day celebration, we honor the legacy of Donald L. Snyder and install Ulugbek Kamilov as the inaugural Snyder Career Development Professor. Learn more. WashU Electrical & Systems Engineering ow.ly/5Qyb50VHQ6r

Excited to have this paper accepted to NeurIPS. Thanks to my great collaborators Jeffery Alido, Tongyu, and Lei Tian