Search Results for author:
Found 5 papers, 3 papers with code
Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs
In this paper, we investigate the idea of turning sensor inputs (i. e., images) captured in an adverse condition into a benign one (i. e., sunny), upon which the downstream tasks (e. g., semantic segmentation) can attain high accuracy.
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions.
Privacy-Preserving Pose Estimation for Human-Robot Interaction
Pose estimation is an important technique for nonverbal human-robot interaction.
Fast Underwater Image Enhancement for Improved Visual Perception
In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.
Ranked #4 on
Underwater Image Restoration
on LSUI
(using extra training data)
Visual Diver Recognition for Underwater Human-Robot Collaboration
This paper presents an approach for autonomous underwater robots to visually detect and identify divers.
