Jekyll2023-05-17T18:18:16+00:00https://arunirc.github.io/feed.xmlAruniRCHomepageAruni RoyChowdhuryComputer Vision @ Mathworks2022-12-05T00:00:00+00:002022-12-05T00:00:00+00:00https://arunirc.github.io/Starting-at-Mathworks-Computer-Vision<p>Looking forward to return to the Mathworks Computer Vision team as senior engg :)</p>Aruni RoyChowdhuryLooking forward to return to the Mathworks Computer Vision team as senior engg :)Lectures in ML course @ Caltech2022-02-10T00:00:00+00:002022-02-10T00:00:00+00:00https://arunirc.github.io/Lecturer-Caltech-Winter-Semester<p>Excited to have co-lectured the Winter semester of the <a href="https://sites.google.com/view/cs155caltech2022/home#h.je2fpqmtvdq1">Machine Learning and Data Science</a> course at Caltech, along with my colleagues at the AWS AI Pasadena lab.</p>
<p>My slides are available for the <a href="https://www.dropbox.com/s/nfnxifng72bm48j/Lecture_12_for_pdf%20--%20final.pdf?dl=0">Embeddings</a> and the <a href="https://www.dropbox.com/s/e2tb0jmiadnvkj7/Lecture_march-1_GP-Kernels.pdf?dl=0">Gaussian Processes</a> lectures.</p>Aruni RoyChowdhuryExcited to have co-lectured the Winter semester of the Machine Learning and Data Science course at Caltech, along with my colleagues at the AWS AI Pasadena lab.Guest Lecture at Northeastern University2021-04-11T00:00:00+00:002021-04-11T00:00:00+00:00https://arunirc.github.io/Guest-Lecture-Northeastern<p>Thanks to Prof. Huaizu Jiang’s kind invitation, I was delighted to give a guest lecture on learning from unlabeled data for the graduate Computer Vision course at Northeastern University.
<a href="https://github.com/AruniRC/arunirc.github.io/blob/master/assets/Learning%20from%20Unlabeled%20Data%20-%20Northeastern%20Guest%20Lecture-1.pdf">Lecture slides</a></p>Aruni RoyChowdhuryThanks to Prof. Huaizu Jiang’s kind invitation, I was delighted to give a guest lecture on learning from unlabeled data for the graduate Computer Vision course at Northeastern University. Lecture slidesTwo papers at ECCV 20202020-07-02T00:00:00+00:002020-07-02T00:00:00+00:00https://arunirc.github.io/Two-Papers-at-ECCV<p>Two papers accepted at ECCV 2020 - on semi-supervised face recognition and self-supervision for point cloud segmentation.</p>Aruni RoyChowdhuryTwo papers accepted at ECCV 2020 - on semi-supervised face recognition and self-supervision for point cloud segmentation.ICCV 2019 doctoral consortium2019-08-17T00:00:00+00:002019-08-17T00:00:00+00:00https://arunirc.github.io/ICCV-2019-doctoral-consortium<p>Excited and very fortunate to be accepted for the doctoral consortium @ ICCV 2019, Seoul with Prof. Andrea Vedaldi as my mentor.</p>Aruni RoyChowdhuryExcited and very fortunate to be accepted for the doctoral consortium @ ICCV 2019, Seoul with Prof. Andrea Vedaldi as my mentor.Summer Internship at NEC Labs2019-04-05T00:00:00+00:002019-04-05T00:00:00+00:00https://arunirc.github.io/Summer-2019-NEC<p>Looking forward to a summer internship at the <a href="http://www.nec-labs.com/research-departments/media-analytics/media-analytics-home">Media Analytics</a> department of NEC Labs.</p>Aruni RoyChowdhuryLooking forward to a summer internship at the Media Analytics department of NEC Labs.Amazon Graduate Research Symposium2019-03-05T00:00:00+00:002019-03-05T00:00:00+00:00https://arunirc.github.io/Amazon-2019<p>Excited to present our work on self-training object detectors using hard examples at Amazon! It was an enriching experience to interact with so many smart researchers from both academia and industry.</p>Aruni RoyChowdhuryExcited to present our work on self-training object detectors using hard examples at Amazon! It was an enriching experience to interact with so many smart researchers from both academia and industry.Outstanding Reviewer and Paper at CVPR 20192019-03-02T00:00:00+00:002019-03-02T00:00:00+00:00https://arunirc.github.io/CVPR-2019<p>Our work on domain adapation of object detectors using unlabeled video is accepted at CVPR 2019.
It provides a straight-forward way to adapt to novel domains with minimal dependence on hyper-parameters or a labeled validation set. This is a follow up of our earlier work at ECCV 2018 that mined unlabeled videos to automatically collect hard examples for object detectors.</p>
<p>A big shout-out to everyone who made this possible - Prithvijit, Ashish, Huaizu, SouYoung and of course our professors Liangliang and Erik.</p>
<p>For details please check the <a href="http://vis-www.cs.umass.edu/unsupVideo/">project page</a></p>Aruni RoyChowdhuryOur work on domain adapation of object detectors using unlabeled video is accepted at CVPR 2019. It provides a straight-forward way to adapt to novel domains with minimal dependence on hyper-parameters or a labeled validation set. This is a follow up of our earlier work at ECCV 2018 that mined unlabeled videos to automatically collect hard examples for object detectors.Papers at CVPR and ECCV2018-07-18T00:00:00+00:002018-07-18T00:00:00+00:00https://arunirc.github.io/Papers-at-CVPR-and-ECCV<p>Second-author paper accepted at CVPR 2018 and a joint first-authored paper at ECCV 2018.</p>
<ul>
<li><a href="http://vis-www.cs.umass.edu/motionSegmentation/website_CVPR18/index.html">The Best of Both Worlds: Combining CNNs and geometric constraints for hierarchichal motion segmentation</a>. Pia Bideau, Aruni RoyChowdhury, Rakesh Menon, Erik Learned-Miller. Computer Vision and Pattern Recognition (CVPR), 2018.</li>
<li><a href="http://vis-www.cs.umass.edu/unsupVideo/">Unsupervised Hard Example Mining from Videos for Improved Object Detection</a>. SouYoung Jin<em>, Aruni RoyChowdhury</em>, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, and Erik Learned-Miller. European Conference on Computer Vision (ECCV), 2018.</li>
</ul>Aruni RoyChowdhurySecond-author paper accepted at CVPR 2018 and a joint first-authored paper at ECCV 2018.Summer internship at The Mathworks Inc.2017-06-04T00:00:00+00:002017-06-04T00:00:00+00:00https://arunirc.github.io/Starting-internship-at-Mathworks<p>I am super-excited to be interning with the Computer Vision System Toolbox team again, after a happy summer in 2014 back in my wet-behind-the-ear days.</p>Aruni RoyChowdhuryI am super-excited to be interning with the Computer Vision System Toolbox team again, after a happy summer in 2014 back in my wet-behind-the-ear days.