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monajalal/README.md

  • 👋 Hi, I’m @monajalal , proudly a former first-gen college student, and currently working as a Computer Vision Research Engineer III at Toyota Material Handling headquarter in Columbus, Indiana focusing on 3D Computer Vision using Deep Learning and Synthetic Data.

  • 👀 I’m interested in Computer Vision and Deep Learning research and development and its cross-sections with robotics perception, computer graphics, and natural language understanding. Outside of work, I am interested in endurance road cycling, cooking, indoor rowing, and walking. Since 2015, I have moved to smart home technologies after spending 1 year as a research assistant at the Internet of Things lab at the University of Wisconsin-Madison. I like to automate stuff in the house, on my bike, and on my computer(s). I was a PhD candidate in Computer Vision under supervision of Professors Margrit Betke and Vijaya Kolachalama 2017- 2022 focusing on vision and language for public communications and emerging media, human, animal, and object 2D and 3D pose, emotion recognition, human-object interaction, 3D object reconstruction, human mesh recovery, and WSI-based lung cancer recognition using deep learning.

  • I am looking forward to my first 10K run, first 100 mile road bike, and first 10,000 m indoor rowing, and first KONA Ironwoman. On a weekly basis, I do 1 hr of Strength Training, 2 hr of yoga (mainly vinyasa and yin), and at least 5 miles of logged walk. In between, I try to do PT or road cycling depending on the weather. I strongly believe a healthy mind is inside a healthy brain and body and mind body health has a high priority in my daily life.

  • I am currently learning more on BlenderProc and Omniverse Isaam Sim Python Coding.

  • 💞️ I’m looking to collaborate on 3D Pose Estimation and reconstruction (both dense and sparse)

  • I am actively reviewing research conferences in 3D computer vision submitted to top computer vision conferences and journals.

  • I am looking forward to research talk opportunities as well as becoming a co-organizer for research workshops in computer vision and deep learning.

  • 📫 You can reach me via [email protected] or [email protected]

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  1. esaraee/Savoias-Dataset esaraee/Savoias-Dataset Public

    A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision a…

    Python 39 9

  2. augcog/OpenARK augcog/OpenARK Public

    OpenARK is an open-source wearable augmented reality (AR) system founded at UC Berkeley in 2016. The C based software offers innovative core functionalities to power a wide range of off-the-shelf…

    C 302 115

  3. augcog/OpenARK_test augcog/OpenARK_test Public

    C 1

  4. Resources-For-CS-Students Resources-For-CS-Students Public

    A list of resources such as scholarships, fellowships, and mailing list for helping CS students succeed in their career

    168 20

  5. Kenyan-Food Kenyan-Food Public

    code and link to the dataset for Kenyan Food detection paper accepted as a paper in MADiMA 2019 Workshop as part of ACM MM 2019 conference.

    Python 11 6

  6. dnaaun/openFraming dnaaun/openFraming Public

    Tools for automatic frame discovery and labeling based on topic modeling and deep learning, made widely accessible to researchers from non computational backgrounds.

    CSS 9 7