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Found 3 papers, 1 papers with code
The Role of the Input in Natural Language Video Description
Natural Language Video Description (NLVD) has recently received strong interest in the Computer Vision, Natural Language Processing (NLP), Multimedia, and Autonomous Robotics communities.
J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications.
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
We propose a novel appearance-based Object Detection system that is able to detect obstacles at very long range and at a very high speed (~300Hz), without making assumptions on the type of motion.
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