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PennSyn2Real: Training Object Recognition Models without Human Labeling
Scalability is a critical problem in generating training images for deep...
09/22/2020 ∙ by Ty Nguyen, et al. ∙
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Evaluating Robust, Perception Based Control with Quadrotors
Traditionally, controllers and state estimators in robotic systems are d...
07/08/2020 ∙ by Laura Jarin-Lipschitz, et al. ∙
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Depth Completion via Deep Basis Fitting
In this paper we consider the task of image-guided depth completion wher...
12/21/2019 ∙ by Chao Qu, et al. ∙
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Vision-based Multi-MAV Localization with Anonymous Relative Measurements Using Coupled Probabilistic Data Association Filter
We address the localization of robots in a multi-MAV system where extern...
09/18/2019 ∙ by Ty Nguyen, et al. ∙
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MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Real-time image semantic segmentation is an essential capability to enha...
04/03/2019 ∙ by Ty Nguyen, et al. ∙
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DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
Depth estimation is an important capability for autonomous vehicles to u...
03/15/2019 ∙ by Yilun Zhang, et al. ∙
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DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion
In this paper we propose a convolutional neural network that is designed...
02/02/2019 ∙ by Shreyas S. Shivakumar, et al. ∙
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U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification
Periodical inspection and maintenance of critical infrastructure such as...
09/18/2018 ∙ by Ty Nguyen, et al. ∙
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Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
This paper develops an unsupervised learning algorithm that trains a Dee...
09/12/2017 ∙ by Ty Nguyen, et al. ∙
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