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There is growing interest in artificial intelligence to build socially intelligent robots.
An Argument for Basic Emotions
P. Ekman · 1992
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Rapid Object Detection using a Boosted Cascade of Simple Features
P. Viola and M. Jones · 2001
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“Hello! My name is … Buffy” – Automatic Naming of Characters in TV Video
M. Everingham, J. Sivic, and A. Zisserman · 2006
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Learning Realistic Human Actions from Movies
I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld · 2008
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Scoring, Term Weighting, and the Vector Space Model
C. D. Manning, P. Raghavan, and H. Schutze · 2008
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Is that You? Metric Learning Approaches for Face Identification
M. Guillaumin, J. Verbeek, and C. Schmid · 2009
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Actions in Context
M. Marszałek, I. Laptev, and C. Schmid · 2009
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Learning Relations among Movie Characters: A Social Network Perspective
L. Ding and A. Yilmaz · 2010
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Social Network Analysis in a Movie Using Character-Net
S.-B. Park, K.-J. Oh, and G. Jo · 2011
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2D Articulated Human Pose Estimation and Retrieval in (Almost) Unconstrained Still Images
M. Eichner, M. Marin-Jimenez, A. Zisserman, and V. Ferrari · 2012
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Social Interactions: A First-Person Perspective
A. Fathi, J. K. Hodgins, and J. M. Rehg · 2012
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Structured Learning of Human Interactions in TV Shows
A. Patron-Perez, M. Marszalek, I. D. Reid, and A. Zisserman · 2012
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“Knock! Knock! Who is it?” Probabilistic Person Identification in TV series
M. Tapaswi, M. Bäuml, and R. Stiefelhagen · 2012
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Finding Actors and Actions in Movies
P. Bojanowski, F. Bach, I. Laptev, J. Ponce, C. Schmid, and J. Sivic · 2013
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Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics
M. Hodosh, P. Young, and J. Hockenmaier · 2013
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Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
K. Cho, B. van Merrienboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio · 2014
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Adam: A Method for Stochastic Optimization
D. Kingma and J. Ba · 2014
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Detecting People Looking at Each Other in Videos
M. J. Marin-Jimenez, A. Zisserman, M. Eichner, and V. Ferrari · 2014
Cited alongside, same era.
Glove: Global Vectors for Word Representation
J. Pennington, R. Socher, and C. D. Manning · 2014
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Linking People in Videos with “Their” Names Using Coreference Resolution
V. Ramanathan, A. Joulin, P. Liang, and L. Fei-Fei · 2014
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StoryGraphs: Visualizing Character Interactions as a Timeline
M. Tapaswi, M. Bäuml, and R. Stiefelhagen · 2014
Cited alongside, same era.
Image Retrieval using Scene Graphs
J. Johnson, R. Krishna, M. Stark, L.-J. Li, D. Shamma, M. Bernstein, and L. Fei-Fei · 2015
Unsupervised Learning from Narrated Instruction Videos
J.-B. Alayrac, P. Bojanowski, N. Agrawal, I. Laptev, J. Sivic, and S. Lacoste-Julien · 2016
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OpenFace: An Open Source Facial Behavior Analysis Toolkit
T. Baltrušaitis, P. Robinson, and L.-P. Morency · 2016
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Personality, Attitudes, and Bonding in Conversations
N. Jaques, Y. L. Kim, and R. W. Picard · 2016
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Tega: A Social Robot
J. Kory Westlund, J. J. Lee, L. Plummer, F. Faridi, J. Gray, M. Berlin, H. Quintus-Bosz, R. Hartmann, M. Hess, S. Dyer, K. dos Santos, S. Örn Adhalgeirsson, G. Gordon, S. Spaulding, M. Martinez, M. Das, M. Archie, S. Jeong, and C. Breazeal · 2016
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A Persona-Based Neural Conversation Model
J. Li, M. Galley, C. Brockett, G. P. Spithourakis, J. Gao, and B. Dolan · 2016
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Age and Gender Classification Using Convolutional Neural Networks
G. Levi and T. Hassner · 2015
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Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns
G. Levi and T. Hassner · 2015
Cited alongside, same era.
Deep Face Recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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A Dataset for Movie Description
A. Rohrbach, M. Rohrbach, N. Tandon, and B. Schiele · 2015
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FaceNet: A Unified Embedding for Face Recognition and Clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Unsupervised Semantic Parsing of Video Collections
O. Sener, A. Zamir, S. Savarese, and A. Saxena · 2015
Cited alongside, same era.
G. A. Sigurdsson, G. Varol, X. Wang, A. Farhadi, I. Laptev, and A. Gupta · 2016
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MovieQA: Understanding Stories in Movies through Question-Answering
M. Tapaswi, Y. Zhu, R. Stiefelhagen, A. Torralba, R. Urtasun, and S. Fidler · 2016
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Situation Recognition: Visual Semantic Role Labeling for Image Understanding
M. Yatskar, L. Zettlemoyer, and A. Farhadi · 2016
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Places: An Image Database for Deep Scene Understanding
B. Zhou, A. Khosla, A. Lapedriza, A. Torralba, and A. Oliva · 2016
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TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Y. Jang, Y. Song, Y. Yu, Y. Kim, and G. Kim · 2017
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DeepStory: Video Story QA by Deep Embedded Memory Networks
K.-M. Kim, M.-O. Heo, S.-H. Choi, and B.-T. Zhang · 2017
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Situation Recognition with Graph Neural Networks
R. Li, M. Tapaswi, R. Liao, J. Jia, R. Urtasun, and S. Fidler · 2017
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Socially Assistive Robotics: Human Augmentation vs. Automation
M. J. Matarič · 2017
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MarioQA: Answering Questions by Watching Gameplay Videos
J. Mun, P. H. Seo, and I. J. B. Han · 2017
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Scene Graph Generation by Iterative Message Passing
D. Xu, Y. Zhu, C. B. Choy, and L. Fei-Fei · 2017
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Commonly Uncommon: Semantic Sparsity in Situation Recognition
M. Yatskar, V. Ordonez, L. Zettlemoyer, and A. Farhadi · 2017
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