59 citations · 88 across the 15 of their papers we have counts for
14 papers · 1 filter
A Generative Approach for Detection-driven Underwater Image Enhancement
Chelsey Edge, Md Jahidul Islam, Christopher Morse +1
In this paper, we introduce a generative model for image enhancement specifically for improving diver detection in the underwater domain. In particular, we present a model that int…
An Analysis of Deep Object Detectors For Diver Detection
Karin de Langis, Michael Fulton, Junaed Sattar
With the end goal of selecting and using diver detection models to support human-robot collaboration capabilities such as diver following, we thoroughly analyze a large set of deep…
IMU-Assisted Learning of Single-View Rolling Shutter Correction
Jiawei Mo, Md Jahidul Islam, Junaed Sattar
Rolling shutter distortion is highly undesirable for photography and computer vision algorithms (e.g., visual SLAM) because pixels can be potentially captured at different times an…
TrashCan: A Semantically-Segmented Dataset towards Visual Detection of Marine Debris
Jungseok Hong, Michael Fulton, Junaed Sattar
This paper presents TrashCan, a large dataset comprised of images of underwater trash collected from a variety of sources, annotated both using bounding boxes and segmentation labe…
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark
Md Jahidul Islam, Chelsey Edge, Yuyang Xiao +5
In this paper, we present the first large-scale dataset for semantic Segmentation of Underwater IMagery (SUIM). It contains over 1500 images with pixel annotations for eight object…
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
Md Jahidul Islam, Peigen Luo, Junaed Sattar
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-…