Jeffrey M. Siskind

Affiliations: 
Electrical and Computer Engineering Purdue University, West Lafayette, IN, United States 
Area:
Artificial Intelligence, Computer Science, Robotics Engineering
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"Jeffrey M. Siskind"
Bio:

Siskind, Jeffrey M. Naive Physics, Event Perception, Lexical Semantics, and Language Acquisition

Parents

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Robert C Berwick grad student 1992 MIT (Neurotree)
 (Naive Physics, Event Perception, Lexical Semantics, and Language Acquisition)

Children

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Zachary James Burchill research assistant 2010-2014 Purdue (LinguisTree)
Andrei Barbu grad student 2013 Purdue
Siddharth Narayanaswamy grad student 2014 Purdue
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Publications

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Barrett DP, Bronikowski SA, Yu H, et al. (2017) Driving Under the Influence (of Language). Ieee Transactions On Neural Networks and Learning Systems
Yu H, Siskind JM. (2017) Sentence Directed Video Object Codiscovery International Journal of Computer Vision. 124: 312-334
Barrett DP, Siskind JM. (2016) Action Recognition by Time Series of Retinotopic Appearance and Motion Features Ieee Transactions On Circuits and Systems For Video Technology. 26: 2250-2263
Barrett D, Barbu A, Siddharth N, et al. (2015) Saying What You're Looking For: Linguistics Meets Video Search. Ieee Transactions On Pattern Analysis and Machine Intelligence
Yu H, Siddharth N, Barbu A, et al. (2015) A compositional framework for grounding language inference, generation, and acquisition in video Journal of Artificial Intelligence Research. 52: 601-713
Yu H, Siskind JM. (2015) Learning to describe video with weak supervision by exploiting negative sentential information Proceedings of the National Conference On Artificial Intelligence. 5: 3855-3863
Siddharth N, Barbu A, Siskind JM. (2014) Seeing what you're told: Sentence-guided activity recognition in video Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 732-739
Barbu A, Barrett DP, Chen W, et al. (2014) Seeing is worse than believing: Reading people's minds better than computer-vision methods recognize actions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8693: 612-627
Cao Y, Barrett D, Barbu A, et al. (2013) Recognize human activities from partially observed videos Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2658-2665
Yu H, Siskind JM. (2013) Grounded language learning from video described with sentences Acl 2013 - 51st Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 53-63
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