Research/Publications
I'm interested in computer vision, robotics, and machine learning. Most of my research is about geometry-based vision, consisting of 3D/4D reconstruction, perception, and visual scene understanding in general. Representative paper(s) are highlighted.
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Deep Multi-view Depth Estimation with Predicted Uncertainty
Tong Ke,
Tien Do,
Khiem Vuong,
Kourosh Sartipi,
and Stergios I. Roumeliotis
IEEE International Conference on Robotics and Automation (ICRA), 2021
[pdf]
[code]
Estimating dense depth and its uncertainty from a sequence of images by leveraging a dense optical flow network to triangulate initial depth maps and refine them through an iterative refinement module.
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Surface Normal Estimation of Tilted Images via Spatial Rectifier
Tien Do,
Khiem Vuong,
Stergios I. Roumeliotis,
and Hyun Soo Park
European Conference on Computer Vision (ECCV), 2020 (Spotlight Presentation)
[pdf]
[website]
[video]
[code]
Surface normal estimation of tilted images by leveraging a spatial rectifier that is learned to transform the surface normal distribution of a tilted image to the rectified one that matches the gravity-aligned training data distribution.
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Deep Depth Estimation from Visual-Inertial SLAM
Kourosh Sartipi,
Tien Do,
Tong Ke,
Khiem Vuong,
and Stergios I. Roumeliotis
IEEE/RSJ International Conference on Intelligent Robots and System (IROS), 2020
[pdf]
[code]
Dense depth estimation from sparse depth points (computed from a Visual-Inertial SLAM system) and RGB images of indoor scenes.
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Template from Jon Barron.
Last modified: Jan. 1st, 2022.
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