47 citations · 109 across the 10 of their papers we have counts for
5 papers · 1 filter
PennSyn2Real: Training Object Recognition Models without Human Labeling
Ty Nguyen, Ian D. Miller, Avi Cohen +5
Scalable training data generation is a critical problem in deep learning. We propose PennSyn2Real - a photo-realistic synthetic dataset consisting of more than 100,000 4K images of…
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network
Shreyas S. Shivakumar, Neil Rodrigues, Alex Zhou +3
In this work we propose long wave infrared (LWIR) imagery as a viable supporting modality for semantic segmentation using learning-based techniques. We first address the problem of…
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Ty Nguyen, Shreyas S. Shivakumar, Ian D. Miller +9
Real-time semantic image segmentation on platforms subject to size, weight and power (SWaP) constraints is a key area of interest for air surveillance and inspection. In this work,…
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance
Yilun Zhang, Ty Nguyen, Ian D. Miller +4
Depth estimation is an important capability for autonomous vehicles to understand and reconstruct 3D environments as well as avoid obstacles during the execution. Accurate depth se…
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification
Ty Nguyen, Tolga Ozaslan, Ian D. Miller +7
Periodical inspection and maintenance of critical infrastructure such as dams, penstocks, and locks are of significant importance to prevent catastrophic failures. Conventional man…