Assistant Professor @JHUECE, Postdoc @Caltech, Ph.D. @wustlcig, Researcher in Computational imaging.

Baltimore, MD
Joined November 2018
Some photos from the @UWMadisonECE investiture ceremony, where I received Leon and Elizabeth Janssen Associate Professorship.
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Since she's way too shy to post this herself, please join me in congratulating my amazing colleague and friend @klbouman for receiving tenure at @caltech! 🥳🎉
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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. @WashUESE ow.ly/5Qyb50VHQ6r
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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 domain-specific models. We provide comprehensive benchmarking and implementations for five domains (incl. pre-trained diffusion priors), and many diffusion posterior sampling algorithms. Applications: inverse scattering (microscopy), compressed MRI, black hole imaging (astronomy), full waveform inversion (seismology), and Navier-Stokes super-resolution (fluids). The goal is to infer the underlying image given only sparse and noisy measurements.
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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 the comment made during the invited talk this afternoon, as it is something that NeurIPS does not condone and it doesn't align with our code of conduct. We are addressing this issue with the speaker directly. NeurIPS is dedicated to being a diverse and inclusive place where everyone is treated equally.
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Interested in what goes into a faculty application or interview process? AMA!
Caltech invites faculty applications in the areas of Information, Systems, and Computing, broadly construed. applications.caltech.edu/job… Review of applications will begin Nov 12, but full consideration will be given to all candidates who apply by Dec 13. Caltech is a small school (~300 faculty total) that is dedicated to research excellence. The campus is also beautiful (I took the photos myself -- the last one is the view from my office).
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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
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I am co-organizing Computational Cameras and Display Workshop (CCD) @CVPR with @MarkSheinin, 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/
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Some other highlights from Electronic Imaging. Interesting papers on iterative approaches to the solution of inverse problems including methods for posterior sampling. @2ptmvd presented InDI. @YuSunMark on using diffusion models and Greg Buzzard on Generative Plug-and-Play.
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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. :)
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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.
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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
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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.👇
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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/ 🧵
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Double blind peer review
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Yu Sun retweeted
This is a proud moment for the WashU community. Congrats to WashU economist Philip Dybvig on being awarded this year’s @NobelPrize in economic sciences! His transformative research has significantly improved how our society responds to financial crises. bit.ly/3Vt7tc3
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The CIG work in collaboration with @LeiTian14 on neural fields for optical tomography is on the WahsU Engineering (@WashUengineers) News: engineering.wustl.edu/news/2….
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Academic colleagues: If you’re advocating that postdocs are “trainees”, you should back it up by showing where your former postdocs are now employed. If most are not in academia, then you’ve demonstrated that postdocs are cheap labor that make your life (as PI) easier. The end.
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The visuals and news do not completely reflect the real magnitude. It is a huge disaster. 90% crops, livestock, and many lives are lost. People need shelter and food. Please consider donating if you can. Please share.
The scenes from my homeland, Pakistan, are gut wrenching. Below is just a snippet and one can find much more online. Here is a reputable org in Pakistan if anyone wants to donate: edhina.org/ (click Quick Donation, select #FloodReliefFund2022 as purpose).
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Excited to share our new paper on "Incremental Task Learning with Incremental Rank Updates" (accepted to #eccv2022). Paper: arxiv.org/abs/2207.09074 Code: github.com/CSIPlab/task-incr…
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