HTTP/2 200 server: GitHub.com content-type: application/xml last-modified: Fri, 21 Nov 2025 04:20:43 GMT access-control-allow-origin: * etag: W/"691fe89b-2a90" expires: Sun, 28 Dec 2025 22:32:11 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 5498:272D88:81615B:91234E:6951AD92 accept-ranges: bytes age: 0 date: Sun, 28 Dec 2025 22:22:11 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210029-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766960531.448206,VS0,VE208 vary: Accept-Encoding x-fastly-request-id: 14e4e92d00eee880f27a019cefb0649c3dd4a44f content-length: 2568 Jekyll2025-11-21T04:20:27+00:00https://arunirc.github.io/feed.xmlHomepageAruni RoyChowdhury2022-12-05T00:00:00+00:002022-12-05T00:00:00+00:00https://arunirc.github.io/Starting-at-Mathworks-Computer-VisionLooking forward to return to the Mathworks Computer Vision team as senior engg :)

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2022-02-10T00:00:00+00:002022-02-10T00:00:00+00:00https://arunirc.github.io/Lecturer-Caltech-Winter-SemesterExcited 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.

My slides are available for the Embeddings and the Gaussian Processes lectures.

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2021-04-11T00:00:00+00:002021-04-11T00:00:00+00:00https://arunirc.github.io/Guest-Lecture-NortheasternThanks 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

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2020-07-02T00:00:00+00:002020-07-02T00:00:00+00:00https://arunirc.github.io/Two-Papers-at-ECCVTwo papers accepted at ECCV 2020 - on semi-supervised face recognition and self-supervision for point cloud segmentation.

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2019-08-17T00:00:00+00:002019-08-17T00:00:00+00:00https://arunirc.github.io/ICCV-2019-doctoral-consortiumExcited and very fortunate to be accepted for the doctoral consortium @ ICCV 2019, Seoul with Prof. Andrea Vedaldi as my mentor.

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2019-04-05T00:00:00+00:002019-04-05T00:00:00+00:00https://arunirc.github.io/Summer-2019-NECLooking forward to a summer internship at the Media Analytics department of NEC Labs.

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2019-03-05T00:00:00+00:002019-03-05T00:00:00+00:00https://arunirc.github.io/Amazon-2019Excited 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.

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2019-03-02T00:00:00+00:002019-03-02T00:00:00+00:00https://arunirc.github.io/CVPR-2019Our 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.

A big shout-out to everyone who made this possible - Prithvijit, Ashish, Huaizu, SouYoung and of course our professors Liangliang and Erik.

For details please check the project page

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2018-07-18T00:00:00+00:002018-07-18T00:00:00+00:00https://arunirc.github.io/Papers-at-CVPR-and-ECCVSecond-author paper accepted at CVPR 2018 and a joint first-authored paper at ECCV 2018.

• The Best of Both Worlds: Combining CNNs and geometric constraints for hierarchichal motion segmentation. Pia Bideau, Aruni RoyChowdhury, Rakesh Menon, Erik Learned-Miller. Computer Vision and Pattern Recognition (CVPR), 2018.
• Unsupervised Hard Example Mining from Videos for Improved Object Detection. SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, and Erik Learned-Miller. European Conference on Computer Vision (ECCV), 2018.

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2017-06-04T00:00:00+00:002017-06-04T00:00:00+00:00https://arunirc.github.io/Starting-internship-at-MathworksI 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.

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