Search Results for author:
Found 13 papers, 9 papers with code
Weakly Supervised Caveline Detection For AUV Navigation Inside Underwater Caves
Mapping underwater caves is a time-consuming, labor-intensive, and hazardous operation.
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater Robots
Subsequently, we extend this into a domain projection loss that guides the end-to-end learning of UDepth on over 9K RGB-D training samples.
A Generative Approach for Detection-driven Underwater Image Enhancement
In this paper, we introduce a generative model for image enhancement specifically for improving diver detection in the underwater domain.
SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
This paper presents a holistic approach to saliency-guided visual attention modeling (SVAM) for use by autonomous underwater robots.
IMU-Assisted Learning of Single-View Rolling Shutter Correction
In this paper, we propose a deep neural network to predict depth and row-wise pose from a single image for rolling shutter correction.
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
We also present a benchmark evaluation of state-of-the-art semantic segmentation approaches based on standard performance metrics.
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
In this paper, we introduce and tackle the simultaneous enhancement and super-resolution (SESR) problem for underwater robot vision and provide an efficient solution for near real-time applications.
Underwater Image Super-Resolution using Deep Residual Multipliers
We present a deep residual network-based generative model for single image super-resolution (SISR) of underwater imagery for use by autonomous underwater robots.
Ranked #1 on
Image Super-Resolution
on USR-248 - 4x upscaling
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)
Person Following by Autonomous Robots: A Categorical Overview
Different working environments and applications pose diverse challenges by adding constraints on the choice of sensors, the degree of autonomy, and dynamics of a person-following robot.
Robotics
Enhancing Underwater Imagery using Generative Adversarial Networks
Autonomous underwater vehicles (AUVs) rely on a variety of sensors - acoustic, inertial and visual - for intelligent decision making.
Ranked #3 on
Underwater Image Restoration
on LSUI
(using extra training data)
Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot Collaboration
This paper presents a real-time programming and parameter reconfiguration method for autonomous underwater robots in human-robot collaborative tasks.
Underwater Multi-Robot Convoying using Visual Tracking by Detection
We present a robust multi-robot convoying approach that relies on visual detection of the leading agent, thus enabling target following in unstructured 3-D environments.
