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I’m a PhD candidate in Computer Science at Penn State University, advised by Prof. Yanxi Liu and Prof. Robert Collins at the Laboratory for Perception, Action, and Cognition (LPAC). My research explores vanishing point detection, recurring pattern discovery, and cross-modal learning for human stability using pose and foot pressure data. I'm currently interning at Meta on the Video Ecosystem Ranking team. Previously, I interned as a Research Scientist Intern at SLB, where I worked on real-time segmentation pipelines for environmental monitoring.

 

I completed my Master’s in Computer Science at Penn State, focusing on motion estimation in ultrasound imagery using deep learning and Kalman filtering under Prof. Mohamed Almekkawy. Prior to graduate school, I worked for over three years at Continental as a Computer Vision Engineer, developing multi-object tracking and traffic sign recognition algorithms for ADAS systems in collaboration with global automotive OEMs.

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Publications (Full list in Google Scholar)
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Recurrence-based Vanishing Point Detection

Skanda Bharadwaj, Robert T. Collins, Yanxi Liu

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), February 2025

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Estimating Foot Pressure and Stability from Visual Input

Keaton Kraiger, Jingjing Li, Skanda Bharadwaj, Yanxi Liu and Robert T. Collins

IEEE/CVF International Conference on Computer Vision (ICCV) 2025, in submission

Paper

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Aligning Long Activity Sequences for Keypose Analysis and Coaching

Robert T. Collins, Skanda Bharadwaj, Keaton Kraiger, and Yanxi Liu

IEEE/CVF International Conference on Computer Vision (ICCV) 2025, in submission

Paper

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Novel 3D Scene Understanding Applications From Recurrence in a Single Image

Shimian Zhang, Skanda Bharadwaj, Keaton Kraiger, Yashasvi Asthana, Hong Zhang, Robert Collins, Yanxi Liu

arXiv preprint, 2021

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An Upgraded Siamese Neural Network for Motion Tracking in Ultrasound Image Sequences

Skanda Bharadwaj, Sumukha Prasad, and Mohamed Almekkawy

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), 2021

| Website |

Recent Highlights

Thrilled to be starting an internship at Meta as a Machine Learning Engineer with the Video Ecosystem Ranking team.
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Presented our work "Recurrence-based Vanishing Point Detection" at the WACV 2025 conference held at Tucson, Arizona. â€‹
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Blog - Mountains, Landscapes and Lakes: A Trip to Colorado and Utah
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Our paper titled "Novel 3D Scene Understanding Applications From Recurrence in a Single Image" is out in the ArXiv library. 
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Blog - World's Wondrous WaterFall: The Niagara Falls
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Our paper titled "An Upgraded Siamese Neural Network for Motion Tracking in Ultrasound Image Sequences" got published in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC).  
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Blog - An Adventurous Day Out in the Allegheny National Forest
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Presented our paper - Deep Learning-based Motion Tracking of Ultrasound Image Sequences at the IEEE International Ultrasonics Symposium, 2020. 
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Presented our paper "Faster Search Algorithm for Speckle Tracking in Ultrasound Images" at the 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
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Blog - Winter Hike in Monongahela National Forest, West Virginia
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