35 citations · 116 across the 24 of their papers we have counts for
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cs.CV2022★ 3 cited
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu, Chenyou Fan, Mete Ozay +3
We study a practical yet hasn't been explored problem: how a drone can perceive in an environment from different flight heights. Unlike autonomous driving, where the perception is…
cs.CV2022
Dense Depth Distillation with Out-of-Distribution Simulated Images
Junjie Hu, Chenyou Fan, Mete Ozay +2
We study data-free knowledge distillation (KD) for monocular depth estimation (MDE), which learns a lightweight model for real-world depth perception tasks by compressing it from a…
cs.CV2022
Deep Depth Completion from Extremely Sparse Data: A Survey
Junjie Hu, Chenyu Bao, Mete Ozay +4
Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map captured from a depth sensor, e.g., LiDARs. It plays an essential role in various applicatio…