<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://arunirc.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://arunirc.github.io/" rel="alternate" type="text/html" /><updated>2026-06-06T15:34:07+00:00</updated><id>https://arunirc.github.io/feed.xml</id><title type="html">AruniRC</title><subtitle>Homepage</subtitle><author><name>Aruni RoyChowdhury</name></author><entry><title type="html">Papers at ICLR and 3DV 2026</title><link href="https://arunirc.github.io/Papers-at-ICLR-and-3DV/" rel="alternate" type="text/html" title="Papers at ICLR and 3DV 2026" /><published>2026-04-17T00:00:00+00:00</published><updated>2026-04-17T00:00:00+00:00</updated><id>https://arunirc.github.io/Papers-at-ICLR-and-3DV</id><content type="html" xml:base="https://arunirc.github.io/Papers-at-ICLR-and-3DV/"><![CDATA[<p>One paper each at <a href="https://uva-computer-vision-lab.github.io/point-moe/">ICLR 2026</a> and <a href="https://neu-vi.github.io/SNAP/">3DV 2026</a> (oral, best paper candidate) - collabs with the wonderful students of <a href="https://sites.google.com/site/zezhoucheng/">Zezhou Cheng @ UVA</a> and <a href="https://jianghz.me/">Huaizu Jiang @ NEU</a>.</p>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[One paper each at ICLR 2026 and 3DV 2026 (oral, best paper candidate) - collabs with the wonderful students of Zezhou Cheng @ UVA and Huaizu Jiang @ NEU.]]></summary></entry><entry><title type="html">Computer Vision @ Mathworks</title><link href="https://arunirc.github.io/Starting-at-Mathworks-Computer-Vision/" rel="alternate" type="text/html" title="Computer Vision @ Mathworks" /><published>2022-12-05T00:00:00+00:00</published><updated>2022-12-05T00:00:00+00:00</updated><id>https://arunirc.github.io/Starting-at-Mathworks-Computer-Vision</id><content type="html" xml:base="https://arunirc.github.io/Starting-at-Mathworks-Computer-Vision/"><![CDATA[<p>Looking forward to return to the Mathworks Computer Vision team as senior engg :)</p>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Looking forward to return to the Mathworks Computer Vision team as senior engg :)]]></summary></entry><entry><title type="html">Lectures in ML course @ Caltech</title><link href="https://arunirc.github.io/Lecturer-Caltech-Winter-Semester/" rel="alternate" type="text/html" title="Lectures in ML course @ Caltech" /><published>2022-02-10T00:00:00+00:00</published><updated>2022-02-10T00:00:00+00:00</updated><id>https://arunirc.github.io/Lecturer-Caltech-Winter-Semester</id><content type="html" xml:base="https://arunirc.github.io/Lecturer-Caltech-Winter-Semester/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Excited 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.]]></summary></entry><entry><title type="html">Guest Lecture at Northeastern University</title><link href="https://arunirc.github.io/Guest-Lecture-Northeastern/" rel="alternate" type="text/html" title="Guest Lecture at Northeastern University" /><published>2021-04-11T00:00:00+00:00</published><updated>2021-04-11T00:00:00+00:00</updated><id>https://arunirc.github.io/Guest-Lecture-Northeastern</id><content type="html" xml:base="https://arunirc.github.io/Guest-Lecture-Northeastern/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[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. Lecture slides]]></summary></entry><entry><title type="html">Two papers at ECCV 2020</title><link href="https://arunirc.github.io/Two-Papers-at-ECCV/" rel="alternate" type="text/html" title="Two papers at ECCV 2020" /><published>2020-07-02T00:00:00+00:00</published><updated>2020-07-02T00:00:00+00:00</updated><id>https://arunirc.github.io/Two-Papers-at-ECCV</id><content type="html" xml:base="https://arunirc.github.io/Two-Papers-at-ECCV/"><![CDATA[<p>Two papers accepted at ECCV 2020 - on semi-supervised face recognition and self-supervision for point cloud segmentation.</p>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Two papers accepted at ECCV 2020 - on semi-supervised face recognition and self-supervision for point cloud segmentation.]]></summary></entry><entry><title type="html">ICCV 2019 doctoral consortium</title><link href="https://arunirc.github.io/ICCV-2019-doctoral-consortium/" rel="alternate" type="text/html" title="ICCV 2019 doctoral consortium" /><published>2019-08-17T00:00:00+00:00</published><updated>2019-08-17T00:00:00+00:00</updated><id>https://arunirc.github.io/ICCV-2019-doctoral-consortium</id><content type="html" xml:base="https://arunirc.github.io/ICCV-2019-doctoral-consortium/"><![CDATA[<p>Excited and very fortunate to be accepted for the doctoral consortium @ ICCV 2019, Seoul with Prof. Andrea Vedaldi as my mentor.</p>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Excited and very fortunate to be accepted for the doctoral consortium @ ICCV 2019, Seoul with Prof. Andrea Vedaldi as my mentor.]]></summary></entry><entry><title type="html">Summer Internship at NEC Labs</title><link href="https://arunirc.github.io/Summer-2019-NEC/" rel="alternate" type="text/html" title="Summer Internship at NEC Labs" /><published>2019-04-05T00:00:00+00:00</published><updated>2019-04-05T00:00:00+00:00</updated><id>https://arunirc.github.io/Summer-2019-NEC</id><content type="html" xml:base="https://arunirc.github.io/Summer-2019-NEC/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Looking forward to a summer internship at the Media Analytics department of NEC Labs.]]></summary></entry><entry><title type="html">Amazon Graduate Research Symposium</title><link href="https://arunirc.github.io/Amazon-2019/" rel="alternate" type="text/html" title="Amazon Graduate Research Symposium" /><published>2019-03-05T00:00:00+00:00</published><updated>2019-03-05T00:00:00+00:00</updated><id>https://arunirc.github.io/Amazon-2019</id><content type="html" xml:base="https://arunirc.github.io/Amazon-2019/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[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.]]></summary></entry><entry><title type="html">Outstanding Reviewer and Paper at CVPR 2019</title><link href="https://arunirc.github.io/CVPR-2019/" rel="alternate" type="text/html" title="Outstanding Reviewer and Paper at CVPR 2019" /><published>2019-03-02T00:00:00+00:00</published><updated>2019-03-02T00:00:00+00:00</updated><id>https://arunirc.github.io/CVPR-2019</id><content type="html" xml:base="https://arunirc.github.io/CVPR-2019/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[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.]]></summary></entry><entry><title type="html">Papers at CVPR and ECCV</title><link href="https://arunirc.github.io/Papers-at-CVPR-and-ECCV/" rel="alternate" type="text/html" title="Papers at CVPR and ECCV" /><published>2018-07-18T00:00:00+00:00</published><updated>2018-07-18T00:00:00+00:00</updated><id>https://arunirc.github.io/Papers-at-CVPR-and-ECCV</id><content type="html" xml:base="https://arunirc.github.io/Papers-at-CVPR-and-ECCV/"><![CDATA[<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>]]></content><author><name>Aruni RoyChowdhury</name></author><summary type="html"><![CDATA[Second-author paper accepted at CVPR 2018 and a joint first-authored paper at ECCV 2018.]]></summary></entry></feed>