Asanka Perera

@g_a_perera

PhD Student at UniSA. Machine learning, computer vision and robotics.

Adelaide, Australia
Vrijeme pridruživanja: prosinac 2016.

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  1. 30. stu 2019.

    Drone-Action: An Outdoor Recorded Drone Video Dataset for Action Recognition

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    Detector Using a in by Ali Al-Naji, Asanka G. Perera, Saleem Latteef Mohammed and Javaan Chahl 👉

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  3. 30. stu 2019.

    Our recent work on Alive/Deceased people detection from drone. Life Signs Detector Using a Drone in Disaster Zones

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    25. stu 2019.

    New tutorial!🚀 Learn how to perform Human Activity Recognition with and : - Recognize 400+ activities - 94.5% accurate - Includes source code & pre-trained model 👍

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    24. stu 2019.

    If you're interested in optical flow, check out Creative Flow+, a large-scale multi-style artistic video dataset (densely labeled with GT)! Awesome job by Masha Shugrina! Ziheng Liang Jiaman Li, Angad Singh, Karan Singh Webpage:

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    9. lis 2019.

    I just published my (free) 81-page guide on learning , , and ! 🚀🔥 Includes step-by-step instructions on: - Getting Started - Face Applications - Object Detection - OCR - Embedded/IoT - ...and more! Check it out here: 👍

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    30. ruj 2019.

    SPIN: "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop" The paper so hot that my first Tweet with their sample video was flagged as NSFW by Twitter's algorithm. Really. New 'censored' version: pdf:

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    26. ruj 2019.

    Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis pdf: abs: project page: github:

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    12. ruj 2019.

    Want to train deep networks to model 3D human pose and motion? AMASS is a new dataset with 45 hours of mocap - and growing – all in SMPL format. Tutorial code shows how to use AMASS for deep learning. To appear: data:

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    (1/4) Meet VGGers ! 1. Self-supervised Video Representation Learning for Correspondence Flow, , Poster: Session 1 #83 (Tuesday 14:00-16:15) Oral: Video Analysis (Thursday 13:00-13:15) Page:

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    5. ruj 2019.

    Step-by-Step Deep Learning Tutorial to Build your own Video Classification Model

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    1. ruj 2019.

    Unsupervised Machine Learning Approaches for Outlier Detection in Time Series, using Python

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    29. kol 2019.
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    28. kol 2019.

    SO EXCITED to share that has publicly launched! 🎉 Everyone who has spent time in my lab, knows how much importance I put on exercise, and not just for myself :) Check it out! Congrats to !! Honored to be small contributor to the Onyx team :)

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    27. kol 2019.

    AirCap Story -- nice overview of our work on flying markerless human motion capture outdoors via

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    16. kol 2019.

    Tips for AI writers: 1. Spend 30% of your effort on skimming all student ML papers (e.g. Stanford NLP CS224n) the past 3 years and prototype your favorites The idea is everything. Pick an area you are interested in and ideally something that has a visual aspect to it

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    Are you a deep learning researcher? Wondering if all this TensorFlow 2.0 stuff you heard about is relevant to you? This thread is a crash course on everything you need to know to use TensorFlow 2.0 + Keras for deep learning research. Read on!

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    14. kol 2019.

    New work where we predict the future human 3D mesh motion from a short video! With , Panna Felsen, Jitendra Malik.

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  19. proslijedio/la je Tweet
    9. lip 2019.

    カーネギーメロン大学、1台の頭部装着型カメラからの一人称視点映像を入力に自身の3D姿勢をリアルタイムに推定する手法を発表。将来の動きも予測

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    6. kol 2019.

    Snip for iOS and Android just released! Get them now at See how easy it is to “copy” an equation from your notes and paste the LaTeX into a Markdown document, with Snip mobile to desktop syncing:

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