Fetching the paper…
Reading the bibliography…
In recent years, deep neural networks have demonstrated increasingly strong abilities to recognize objects and activities in videos.
The Methods of Ethics
Henry Sidgwick · 1907
Earlier work this paper cites.
Dysfunctional consequences of performance measurements
V. Ridgway · 1956
Earlier work this paper cites.
Utilitarianism, economics, and legal theory
Richard A. Posner · 1979
Earlier work this paper cites.
Judgment under uncertainty: Heuristics and biases
Daniel Kahneman, Stewart Paul Slovic, Paul Slovic, and Amos Tversky · 1982
Earlier work this paper cites.
The laws of emotion
Nico H. Frijda · 1988
Earlier work this paper cites.
An argument for basic emotions
Paul Ekman · 1992
Earlier work this paper cites.
Coding facial expressions with gabor wavelets
Michael Lyons, Shigeru Akamatsu, Miyuki Kamachi, and Jiro Gyoba · 1998
Earlier work this paper cites.
Seeing like a state: How certain schemes to improve the human condition have failed
James C. Scott · 1999
Earlier work this paper cites.
Emotional experience in everyday life across the adult life span
Laura L Carstensen, Monisha Pasupathi, Ulrich Mayr, and John R Nesselroade · 2000
Earlier work this paper cites.
Symposium on amartya sen’s philosophy: 2 unstrapping the straitjacket of ‘preference’: a comment on amartya sen’s contributions to philosophy and economics
Elizabeth Anderson · 2001
Earlier work this paper cites.
Appraisal processes in emotion: Theory, methods, research
Klaus R. Scherer, Angela Schorr, and Tom Johnstone · 2001
Earlier work this paper cites.
Measuring biological diversity
Anne E Magurran · 2003
Earlier work this paper cites.
Recognizing human actions: a local svm approach
Christian Schuldt, Ivan Laptev, and Barbara Caputo · 2004
Earlier work this paper cites.
Understanding emotions, 2nd ed
Keith Oatley, Dacher Keltner, and Jennifer M. Jenkins · 2006
Earlier work this paper cites.
Object tracking: A survey
Alper Yilmaz, Omar Javed, and Mubarak Shah · 2006
Earlier work this paper cites.
The humaine database: Addressing the collection and annotation of naturalistic and induced emotional data
Ellen Douglas-Cowie, Roddy Cowie, Ian Sneddon, Cate Cox, Orla Lowry, Margaret Mcrorie, Jean-Claude Martin, Laurence Devillers, Sarkis Abrilian, Anton Batliner, et al · 2007
Earlier work this paper cites.
Actions as space-time shapes
Lena Gorelick, Moshe Blank, Eli Shechtman, Michal Irani, and Ronen Basri · 2007
Earlier work this paper cites.
The international affective picture system (iaps) in the study of emotion and attention
Peter Lang and Margaret M Bradley · 2007
Earlier work this paper cites.
Semeval-2007 task 14: Affective text
Carlo Strapparava and Rada Mihalcea · 2007
Earlier work this paper cites.
Emotional complexity
Kristen A Lindquist and Lisa Feldman Barrett · 2008
Earlier work this paper cites.
Variety is the spice of life: A psychological construction approach to understanding variability in emotion
Lisa Feldman Barrett · 2009
Earlier work this paper cites.
Affective forecasting and the big five
Michael Hoerger and Stuart W Quirk · 2010
Earlier work this paper cites.
High income improves evaluation of life but not emotional well-being
Daniel Kahneman and Angus Deaton · 2010
Earlier work this paper cites.
The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
Patrick Lucey, Jeffrey F Cohn, Takeo Kanade, Jason Saragih, Zara Ambadar, and Iain Matthews · 2010
Earlier work this paper cites.
Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers
Alexandre Schaefer, Frédéric Nils, Xavier Sanchez, and Pierre Philippot · 2010
Earlier work this paper cites.
Machine ethics
Michael Anderson and Susan Leigh Anderson · 2011
Earlier work this paper cites.
Thinking, fast and slow
Daniel Kahneman · 2011
Earlier work this paper cites.
Hmdb: a large video database for human motion recognition
Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso Poggio, and Thomas Serre · 2011
Cited alongside, same era.
Deap: A database for emotion analysis; using physiological signals
Sander Koelstra, Christian Muhl, Mohammad Soleymani, Jong-Seok Lee, Ashkan Yazdani, Touradj Ebrahimi, Thierry Pun, Anton Nijholt, and Ioannis Patras · 2012
Cited alongside, same era.
Ucf101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
Cited alongside, same era.
Facebook use predicts declines in subjective well-being in young adults
Ethan Kross, Philippe Verduyn, Emre Demiralp, Jiyoung Park, David Seungjae Lee, Natalie Lin, Holly Shablack, John Jonides, and Oscar Ybarra · 2013
Cited alongside, same era.
Predicting emotions in user-generated videos
Yu-Gang Jiang, Baohan Xu, and Xiangyang Xue · 2014
Cited alongside, same era.
A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
Later among the works it cites.
Tracking emerges by colorizing videos
Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, and Kevin Murphy · 2018
Later among the works it cites.
Youtube-vos: A large-scale video object segmentation benchmark
Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, and Thomas Huang · 2018
Later among the works it cites.
Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Later among the works it cites.
Large-scale weakly-supervised pre-training for video action recognition
Deepti Ghadiyaram, Du Tran, and Dhruv Mahajan · 2019
Later among the works it cites.
Ccnet: Criss-cross attention for semantic segmentation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
Cited alongside, same era.
Emodiversity and the emotional ecosystem
Jordi Quoidbach, June Gruber, Moïra Mikolajczak, Alexsandr Kogan, Ilios Kotsou, and Michael I Norton · 2014
Cited alongside, same era.
Action recognition and detection by combining motion and appearance features
Limin Wang, Yu Qiao, and Xiaoou Tang · 2014
Cited alongside, same era.
Liris-accede: A video database for affective content analysis
Yoann Baveye, Emmanuel Dellandrea, Christel Chamaret, and Liming Chen · 2015
Cited alongside, same era.
Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
Cited alongside, same era.
Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
Cited alongside, same era.
Youtube-8m: A large-scale video classification benchmark
Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Paul Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan · 2016
Cited alongside, same era.
Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Humphrey Shi, and Wenyu Liu · 2019
Later among the works it cites.
Moments in time dataset: one million videos for event understanding
Mathew Monfort, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, et al · 2019
Later among the works it cites.
Human compatible: Artificial intelligence and the problem of control
Stuart Russell · 2019
Later among the works it cites.
A comprehensive survey of vision-based human action recognition methods
Hong-Bo Zhang, Yi-Xiang Zhang, Bineng Zhong, Qing Lei, Lijie Yang, Ji-Xiang Du, and Duan-Sheng Chen · 2019
Later among the works it cites.
Goemotions: A dataset of fine-grained emotions
Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade, and Sujith Ravi · 2020
Later among the works it cites.
Oops! predicting unintentional action in video
Dave Epstein, Boyuan Chen, and Carl Vondrick · 2020
Later among the works it cites.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick · 2020
Later among the works it cites.
Aligning AI with shared human values, 2020
Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, and Jacob Steinhardt · 2020
Later among the works it cites.
Deep facial expression recognition: A survey
Shan Li and Weihong Deng · 2020
Later among the works it cites.
Historic shift in americans’ happiness amid pandemic
NORC · 2020
Later among the works it cites.
Aligning ai optimization to community well-being
Jonathan Stray · 2020
Later among the works it cites.
Eev dataset: Predicting expressions evoked by diverse videos
Jennifer J. Sun, Ting Liu, Alan S. Cowen, Florian Schroff, Hartwig Adam, and Gautam Prasad · 2020
Later among the works it cites.
Artemis: Affective language for visual art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, and Leonidas J Guibas · 2021
Later among the works it cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
An image is worth 16x16 words, what is a video worth?
Gilad Sharir, Asaf Noy, and Lihi Zelnik-Manor · 2021
Later among the works it cites.
What are you optimizing for? aligning recommender systems with human values
Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, and Dylan Hadfield-Menell · 2021
Later among the works it cites.
Generating masks from boxes by mining spatio-temporal consistencies in videos
Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2021
Later among the works it cites.
U.s. bureau of economic analysis, real gross domestic product per capita [a939rx0q048sbea]
FRED · 2022
Closest in time.
Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
Closest in time.
X-risk analysis for ai research
Dan Hendrycks and Mantas Mazeika · 2022
Closest in time.
Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Zhan Tong, Yibing Song, Jue Wang, and Limin Wang · 2022
Closest in time.