3 citations · 11 across the 16 of their papers we have counts for
4 papers · 1 filter
ELiOT : End-to-end Lidar Odometry using Transformer Framework
Daegyu Lee, Hyunwoo Nam, D. Hyunchul Shim
In recent years, deep-learning-based point cloud registration methods have shown significant promise. Furthermore, learning-based 3D detectors have demonstrated their effectiveness…
AURA : Automatic Mask Generator using Randomized Input Sampling for Object Removal
Changsuk Oh, H. Jin Kim
The objective of the image inpainting task is to fill missing regions of an image in a visually plausible way. Recently, deep-learning-based image inpainting networks have generate…
SwinDepth: Unsupervised Depth Estimation using Monocular Sequences via Swin Transformer and Densely Cascaded Network
Dongseok Shim, H. Jin Kim
Monocular depth estimation plays a critical role in various computer vision and robotics applications such as localization, mapping, and 3D object detection. Recently, learning-bas…
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning
Dongseok Shim, Seungjae Lee, H. Jin Kim
As previous representations for reinforcement learning cannot effectively incorporate a human-intuitive understanding of the 3D environment, they usually suffer from sub-optimal pe…