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Karin de Langis
Karin de Langis
Verified email at umn.edu
Title
Cited by
Cited by
Year
SVAM: Saliency-guided visual attention modeling by autonomous underwater robots
MJ Islam, R Wang, J Sattar
arXiv preprint arXiv:2011.06252, 2020
352020
Realtime multi-diver tracking and re-identification for underwater human-robot collaboration
K De Langis, J Sattar
2020 IEEE International Conference on Robotics and Automation (ICRA), 11140 …, 2020
202020
An analysis of deep object detectors for diver detection
K de Langis, M Fulton, J Sattar
arXiv preprint arXiv:2012.05701, 2020
92020
Under the surface: Tracking the artifactuality of llm-generated data
D Das, K De Langis, A Martin, J Kim, M Lee, ZM Kim, S Hayati, R Owan, ...
arXiv preprint arXiv:2401.14698, 2024
82024
Semantically-aware strategies for stereo-visual robotic obstacle avoidance
J Hong, K de Langis, C Wyethv, C Walaszek, J Sattar
2021 IEEE International Conference on Robotics and Automation (ICRA), 2450-2456, 2021
72021
Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data1
K De Langis, M Fulton, J Sattar
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
22021
SVAM: Saliency-guided visual attention modeling by autonomous underwater robots
M Jahidul Islam, R Wang, J Sattar
arXiv e-prints, arXiv: 2011.06252, 2020
22020
Reinforcement Learning with Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
K de Langis, R Koo, D Kang
arXiv preprint arXiv:2402.14146, 2024
12024
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
J Kim, Y Kim, K De Langis, J Shin, D Kang
arXiv preprint arXiv:2305.19344, 2023
12023
An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features
R Neis, K De Langis, ZM Kim, D Kang
arXiv preprint arXiv:2306.04043, 2023
2023
A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models
K De Langis, D Kang
arXiv preprint arXiv:2212.09873, 2022
2022
Video Diver Dataset (VDD-C) 100,000 annotated images of divers underwater
K de Langis, M Fulton, J Sattar
2021
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Articles 1–12