srikumar ramalingam @srikumarRam
Associate Professor at Univ of Utah, computer vision and machine learning researcher cs.utah.edu/~srikumar/ Salt Lake City, UT Joined January 2016-
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srikumar ramalingam retweeted
Our paper "Generalizable Patch-Based Neural Rendering" was accepted as an oral at #ECCV2022. Joint work with @_machc, Leonid Sigal and @kiamada. Project Page: mohammedsuhail.net/gen_patch_neur… 1/2🧵
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srikumar ramalingam retweeted
We will present our poster on Implicit-PDFs at #ICML2021 tonight 12-2am ET. Check out the talk here: youtube.com/watch?v=Y-MlRR…. For all details, including code and demo colab, visit implicit-pdf.github.io. With @kmurmurs, @jampani_varun, @srikumarRam, @kiamada.
We will present our poster on Implicit-PDFs at #ICML2021 tonight 12-2am ET. Check out the talk here: youtube.com/watch?v=Y-MlRR…. For all details, including code and demo colab, visit implicit-pdf.github.io. With @kmurmurs, @jampani_varun, @srikumarRam, @kiamada.
srikumar ramalingam retweeted
To make 3D pose estimation useful in practice it must deal with uncertainties due to symmetry or occlusion. Our latest work, ImplicitPDF, predicts arbitrarily complex distributions over pose using an implicit representation of SO(3). #ICML2021 implicit-pdf.github.io
srikumar ramalingam retweeted
Discovering (paradoxically late in life) that I get more out of textbooks than books and that I don’t have to stop buying them just because I’m out of school. Good reading list pointers: lesswrong.com/posts/xg3hXCYQ…
srikumar ramalingam retweeted
It's a pity they didn't have a preprint that people could critique BEFORE it got into print 🤔
srikumar ramalingam retweeted
My quote about medicines got a little mangled I think but overall it's all good. What I was trying to say that we often demand responsibility and guidance from entities that release advanced tech, like with drug companies and medicines. money.cnn.com/2018/07/26/tec…
srikumar ramalingam retweeted
Pioneer Day has us thinking about the U's legacy and rich history of developing the foundations for computer graphics and much of today's technology. #PioneerDay #Daysof47 continuum.utah.edu/back_issues/20… 💻
srikumar ramalingam retweeted
Code for the Glow demo is now on github! Use the pre-trained model to create manipulation vectors from your own labelled dataset (eg: changing hair color to red). You can also run the demo locally, go make your own smiling videos! github.com/openai/glow
Semantic boundaries can be extremely beneficial for accurate localization youtube.com/watch?v=IKZXZm… Joint work with Xin Yu, Sagar Chaturvedi, Chen Feng, Clinton Fernandes, Yuichi Taguchi and Teng-Yok Lee. The paper will be presented in IROS 2018 in Madrid arxiv.org/abs/1807.02536
srikumar ramalingam retweeted
The #icml2018 camera-ready version of the Bounding & Counting paper is on arxiv: arxiv.org/abs/1711.02114 We investigate in theory and practice what piecewise-linear functions can be modeled with different neural networks. I am presenting a poster next week at #mip2018 #orms
We are looking for strong Ph.D. students in vision, graphics, and machine learning cs.utah.edu/~ladislav/flye…
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