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Today I’m happy to announce that I’ve started as an Assistant Professor at York University.
I am now a member of the Centre for Vision Research at York University.
A major focus of my research over the last few years as been into new methods for the determination of 3D structures of viruses and proteins. A big piece of that work has been published today in Nature Methods. This article describes the algorithmic advances which underpin cryoSPARC. This work was done in collaboration with Ali Punjani (PhD Student, University of Toronto), John Rubinstein (Senior Research Scientist, Hospital for Sick Children) and David Fleet (Professor, University of Toronto).
For a non-technical introduction to our work, you can take a look at this story out of University of Toronto, Scarborough.
Paper at the 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) on predicting the malignancy of lung nodules in CT scans with 3D convolutional neural networks. Find the paper here.
Recent work on using semantic cues to localize a vehicle will be presented at the 2017 IEEE International Conference on Robotics and Automation (ICRA). This is joint work with Wei-Chui Ma, Shenlong Wang, Sanja Fidler and Raquel Urtasun. You can find the paper here and a video of some of the results here.
I also recently visited the Program in Applied and Computational Mathematics at Princeton University to deliver the IDeAS Seminar on April 27th. I’ll next be visiting and speaking at several places in Montreal and Lausanne this month. Feel free to say hello!
Our new paper on dynamic textures is now available on arXiv here and the website with more results and details can be found here. Also, I’ll be attending CVPR in July. If you’re going to be there and would like to meet up, feel free to drop me an email.
I will be serving as one of the Student Volunteer Chairs for CVPR 2018.
I will be speaking on “Bayesian Methods in Cryo-EM” at the 2017 NRAMM Workshop on Advanced Topics in EM Structure Determination: Challenges and Opportunities.
I will be serving as an Area Chair for ECCV 2018.
I am excited to announce that I will be joining Borealis AI as a Researcher Director. This will be part time for now and become full time starting May 1st, when I take a leave of absence from my position at York University. Read more about Borealis and the work I’ll be doing there here.
I wrote a brief essay on striving for impact in research, in particular in machine learning. You can read it on TechVibes here.
Our paper on markerless motion capture was accepted for publication at CRV 2018.
I have returned full time to academia! At the moment I am working on expanding my lab and restarting my research program. Watch this space for updates in the near future!
I recently co-authored a review article (preprint version) on Normalizing Flows which will be published in IEEE Transactions of Pattern Analysis and Machine Intellgience. Normalizing Flows is a topic that I’m excited about and looking to work more on in the future. If you’ve not seen it before, please check it out.
Our paper on the “Tails of Lipschitz Triangular Flows” has been accepted for publication at ICML 2020. If you’re attending, be sure to stop by and chat.
I’m happy to announce that I’ll be serving as an Area Chair at CVPR 2021 and AAAI 2021.
I’ve finally launched a new website based on GitHub Pages. This should make it easier for me to maintain and add content. Keep an eye on things over the coming weeks as I work to expand and improve its contents. My old York EECS website is still availble here and my ancient UofT DCS website is still available here, although I am planning to take down my DCS page soon.
Two papers on normalizing flows have been accepted at NeurIPS 2020. Congratulations and thanks to the students, Jason and Ruizhi, and my excellent collaborators!
The code and paper for our NeurIPS 2020 paper, Wavelet Flow: Fast Training of High Resolution Normalizing Flows, is now available. The code is availble through the Wavelet Flow GitHub Project. The paper can be found on arXiv. All of this, and additional image results, can be found on the Wavelet Flow Project Page. If you have questions, feel free to get in touch or check us out at our poster session at NeurIPS 2020.
This summer I presented a tutorial at ECCV 2020 on normalizing flows with Ullrich Koethe and Carsten Rother. I’ve finally uploaded my lecture which provides an introduction to normalizing flows. Feedback is welcome!
Happy to announce that my Faculty Affiliate status at the Vector Institute has been renewed!