Khiem Vuong

I'm a 2nd-year PhD student in the Robotics Institute, Carnegie Mellon University, co-advised by Deva Ramanan and Srinivasa Narasimhan.

Previously, I received my BS in Computer Science from University of Minnesota, working with Stergios Roumeliotis and Hyun Soo Park.

I'm interested in computer vision, robotics, and machine learning, especially 3D/4D reconstruction and visual scene understanding.

Feel free to reach out to me at kvuong at andrew.cmu.edu!

Email | Resume | GitHub | Google Scholar

News

03/2025 AerialMegaDepth is accepted to CVPR 2025! 📝 Paper details coming soon! 🔜
02/2025 I will join Apple as an intern this summer (Video Computer Vision team)!
03/2024 WALT3D is accepted to CVPR 2024 as an Oral (top 0.8%)!
10/2023 Toward Planet-Wide Traffic Camera Calibration is accepted to WACV 2024.
08/2023 Started my PhD at Robotics Institute, CMU!

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Research

	AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis Khiem Vuong, Anurag Ghosh, Deva Ramanan, Srinivasa Narasimhan, Shubham Tulsiani* Conference on Computer Vision and Pattern Recognition (CVPR), 2025 (* equal advising) 📝 Paper details coming soon! 🔜
	WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects under Occlusion Khiem Vuong, N Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Oral, top 0.8%) (* equal contribution) paper \| project page \| video \| code Automatically generate realistic training data from time-lapse videos for reconstructing dynamics objects (people, vehicle) under occlusion.
	Toward Planet-Wide Traffic Camera Calibration Khiem Vuong, Robert Tamburo, Srinivasa G. Narasimhan Winter Conference on Applications of Computer Vision (WACV), 2024 paper \| project page \| video \| code 3D scene reconstruction and precise localization of over 100 real-world traffic cameras.
	Egocentric Scene Understanding via Multimodal Spatial Rectifier Tien Do, Khiem Vuong, Hyun Soo Park Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral, top 4.2%) paper \| project page \| video \| code Extension of the spatial rectifier to the multi-directional case, applying to depth/surface normal prediction from egocentric view, accompanied by a novel egocentric RGB-D dataset.
	Surface Normal Estimation of Tilted Images via Spatial Rectifier Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park European Conference on Computer Vision (ECCV), 2020 (Spotlight, top 3%) paper \| project page \| video \| code Robust surface normal estimation by spatially rectifying image to the densely distributed orientations.
	Deep Multi-view Depth Estimation with Predicted Uncertainty Tong Ke, Tien Do, Khiem Vuong, Kourosh Sartipi, Stergios I. Roumeliotis International Conference on Robotics and Automation (ICRA), 2021 paper \| code Depth estimation by multiview triangulation, followed by an iterative depth refinement module that preserves estimates with high triangulation confidence.
	Deep Depth Estimation from Visual-Inertial SLAM Kourosh Sartipi, Tien Do, Tong Ke, Khiem Vuong, Stergios I. Roumeliotis International Conference on Intelligent Robots and Systems (IROS), 2020 paper \| code Depth estimation by completing a sparse VI-SLAM point cloud using planar constraint from robust surface normal prediction.

Academic Services

Teaching Assistant: Computer Vision (16-720, Fall 2024) and Computer Vision (16-385, Spring 2025) at CMU
Conference Reviewer: NeurIPS (2022), CVPR (2023, 2024, 2025), ICCV (2023, 2025), ECCV (2024), WACV (2024, 2025), IROS (2024), AAAI (2025), ICLR (2025)

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