Seuraa
Douglas Summers-Stay
Douglas Summers-Stay
Army Research Lab
Vahvistettu sähköpostiosoite verkkotunnuksessa umd.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Y Goyal, T Khot, D Summers-Stay, D Batra, D Parikh
Proceedings of the IEEE conference on computer vision and pattern …, 2017
25462017
Yin and yang: Balancing and answering binary visual questions
P Zhang, Y Goyal, D Summers-Stay, D Batra, D Parikh
Proceedings of the IEEE conference on computer vision and pattern …, 2016
3782016
3D tool path planning, simulation and control system
KI Trovato, E Cohen-Solal, D Summers-Stay
US Patent 8,417,491, 2013
862013
Computer vision and natural language processing: recent approaches in multimedia and robotics
P Wiriyathammabhum, D Summers-Stay, C Fermüller, Y Aloimonos
ACM Computing Surveys (CSUR) 49 (4), 1-44, 2016
642016
Using a minimal action grammar for activity understanding in the real world
D Summers-Stay, CL Teo, Y Yang, C Fermüller, Y Aloimonos
2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012
532012
RF ablation planner
KI Trovato, D Summers-Stay
US Patent 9,747,684, 2017
502017
Symbolic representation and learning with hyperdimensional computing
A Mitrokhin, P Sutor, D Summers-Stay, C Fermüller, Y Aloimonos
Frontiers in Robotics and AI 7, 63, 2020
262020
The future of human robot teams in the army: Factors affecting a model of human-system dialogue towards greater team collaboration
A William Evans, M Marge, E Stump, G Warnell, J Conroy, ...
Advances in Human Factors in Robots and Unmanned Systems: Proceedings of the …, 2017
182017
Using a distributional semantic vector space with a knowledge base for reasoning in uncertain conditions
D Summers-Stay, C Voss, T Cassidy
Biologically Inspired Cognitive Architectures 16, 34-44, 2016
152016
Joint navigation in commander/robot teams: Dialog & task performance when vision is bandwidth-limited
D Summers-Stay, T Cassidy, C Voss
Proceedings of the Third Workshop on Vision and Language, 9-16, 2014
132014
Brainstorm, then select: a generative language model improves its creativity score
D Summers-Stay, CR Voss, SM Lukin
The AAAI-23 Workshop on Creative AI Across Modalities, 2023
112023
Mapping distributional semantics to property norms with deep neural networks
D Li, D Summers-Stay
Big Data and Cognitive Computing 3 (2), 30, 2019
102019
A computational theory for life-long learning of semantics
P Sutor, D Summers-Stay, Y Aloimonos
Artificial General Intelligence: 11th International Conference, AGI 2018 …, 2018
102018
Deductive and analogical reasoning on a semantically embedded knowledge graph
D Summers-Stay
Artificial General Intelligence: 10th International Conference, AGI 2017 …, 2017
92017
What can a generative language model answer about a passage?
D Summers-Stay, C Bonial, C Voss
Proceedings of the 3rd Workshop on Machine Reading for Question Answering, 73-81, 2021
72021
Representing sets as summed semantic vectors
D Summers-Stay, P Sutor, D Li
Biologically inspired cognitive architectures 25, 113-118, 2018
72018
Making the V in VQA matter: elevating the role of image understanding in visual question answering. CoRR abs/1612.00837 (2016)
Y Goyal, T Khot, D Summers-Stay, D Batra, D Parikh
arXiv preprint arXiv:1612.00837 4 (7), 2016
62016
Gluing neural networks symbolically through hyperdimensional computing
P Sutor, D Yuan, D Summers-Stay, C Fermuller, Y Aloimonos
2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022
42022
Propositional deductive inference by semantic vectors
D Summers-Stay
Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020
42020
Metaconcepts: isolating context in word embeddings
P Sutor, Y Aloimonos, C Fermuller, D Summers-Stay
2019 IEEE Conference on Multimedia Information Processing and Retrieval …, 2019
42019
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