Artículos con órdenes de acceso público - David CrandallMás información
No disponibles en ningún lugar: 5
Plasmonic anticounterfeit tags with high encoding capacity rapidly authenticated with deep machine learning
JD Smith, MA Reza, NL Smith, J Gu, M Ibrar, DJ Crandall, SE Skrabalak
ACS nano 15 (2), 2901-2910, 2021
Órdenes: US National Aeronautics and Space Administration
Dota: Unsupervised detection of traffic anomaly in driving videos
Y Yao, X Wang, M Xu, Z Pu, Y Wang, E Atkins, DJ Crandall
IEEE transactions on pattern analysis and machine intelligence 45 (1), 444-459, 2022
Órdenes: US National Science Foundation, US Department of Defense
Deepdiary: Lifelogging image captioning and summarization
C Fan, Z Zhang, DJ Crandall
Journal of Visual Communication and Image Representation 55, 40-55, 2018
Órdenes: US National Science Foundation
On bringing case-based reasoning methodology to deep learning
D Leake, D Crandall
Case-Based Reasoning Research and Development: 28th International Conference …, 2020
Órdenes: US Department of Defense
Wideband Model Order Estimation Using Machine Learning
M Al-Ibadi, V Berger, S Athinarapu, J Paden, D Crandall
2019 IEEE International Symposium on Phased Array System & Technology (PAST …, 2019
Órdenes: US National Science Foundation, US National Aeronautics and Space Administration
Disponibles en algún lugar: 100
Mapping the world's photos
DJ Crandall, L Backstrom, D Huttenlocher, J Kleinberg
Proceedings of the 18th international conference on World wide web, 761-770, 2009
Órdenes: John D. and Catherine T. MacArthur Foundation
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Órdenes: US National Science Foundation, US National Institutes of Health, UK …
Inferring social ties from geographic coincidences
DJ Crandall, L Backstrom, D Cosley, S Suri, D Huttenlocher, J Kleinberg
Proceedings of the National Academy of Sciences 107 (52), 22436-22441, 2010
Órdenes: John D. and Catherine T. MacArthur Foundation
Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions
S Bambach, S Lee, DJ Crandall, C Yu
Proceedings of the IEEE international conference on computer vision, 1949-1957, 2015
Órdenes: US National Institutes of Health
Zero-shot video object segmentation via attentive graph neural networks
W Wang, X Lu, J Shen, DJ Crandall, L Shao
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Órdenes: US National Science Foundation, US Department of Defense, National Natural …
A survey on deep learning technique for video segmentation
T Zhou, F Porikli, DJ Crandall, L Van Gool, W Wang
IEEE transactions on pattern analysis and machine intelligence 45 (6), 7099-7122, 2022
Órdenes: Australian Research Council
Hope-net: A graph-based model for hand-object pose estimation
B Doosti, S Naha, M Mirbagheri, DJ Crandall
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Órdenes: US National Science Foundation
Stochastic multiple choice learning for training diverse deep ensembles
S Lee, S Purushwalkam Shiva Prakash, M Cogswell, V Ranjan, ...
Advances in Neural Information Processing Systems 29, 2016
Órdenes: US National Science Foundation
Temporal recurrent networks for online action detection
M Xu, M Gao, YT Chen, LS Davis, DJ Crandall
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Órdenes: US National Science Foundation, US Office of the Director of National …
Learning video object segmentation from unlabeled videos
X Lu, W Wang, J Shen, YW Tai, DJ Crandall, SCH Hoi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Órdenes: US Department of Defense
Unsupervised traffic accident detection in first-person videos
Y Yao, M Xu, Y Wang, DJ Crandall, EM Atkins
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Órdenes: US National Science Foundation
Stepwise goal-driven networks for trajectory prediction
C Wang, Y Wang, M Xu, DJ Crandall
IEEE Robotics and Automation Letters 7 (2), 2716-2723, 2022
Órdenes: US Department of Defense
Segmenting objects from relational visual data
X Lu, W Wang, J Shen, DJ Crandall, L Van Gool
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7885 …, 2021
Órdenes: National Natural Science Foundation of China
Where have all the people gone? Enhancing global conservation using night lights and social media
N Levin, S Kark, D Crandall
Ecological Applications 25 (8), 2153-2167, 2015
Órdenes: Australian Research Council
Enhancing lifelogging privacy by detecting screens
M Korayem, R Templeman, D Chen, D Crandall, A Kapadia
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
Órdenes: US National Science Foundation
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