On Diverse Asynchronous Activity Anticipation

[1]  Yazan Abu Farha,et al.  Uncertainty-Aware Anticipation of Activities , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

[2]  Suman Saha,et al.  Predicting Action Tubes , 2018, ECCV Workshops.

[3]  Lukás Burget,et al.  Sequence-discriminative training of deep neural networks , 2013, INTERSPEECH.

[4]  Christian Ledig,et al.  Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[5]  Yoshua Bengio,et al.  Deep Sparse Rectifier Neural Networks , 2011, AISTATS.

[6]  Jiawei He,et al.  A Variational Auto-Encoder Model for Stochastic Point Processes , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[7]  Yee Whye Teh,et al.  The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables , 2016, ICLR.

[8]  Xiao Zhang,et al.  Normalized Diversification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[9]  Quoc V. Le,et al.  Sequence to Sequence Learning with Neural Networks , 2014, NIPS.

[10]  Thomas Serre,et al.  The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  Luc Van Gool,et al.  Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.

[12]  Andrew Zisserman,et al.  Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[13]  Gregory D. Hager,et al.  Temporal Convolutional Networks for Action Segmentation and Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[14]  Nina Narodytska,et al.  RelGAN: Relational Generative Adversarial Networks for Text Generation , 2019, ICLR.

[15]  Lantao Yu,et al.  SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient , 2016, AAAI.

[16]  Ramakant Nevatia,et al.  RED: Reinforced Encoder-Decoder Networks for Action Anticipation , 2017, BMVC.

[17]  Bernt Schiele,et al.  Time-Conditioned Action Anticipation in One Shot , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[18]  Yazan Abu Farha,et al.  When will you do what? - Anticipating Temporal Occurrences of Activities , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[19]  Alexander Hauptmann,et al.  The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Lukás Burget,et al.  Semi-supervised training of Deep Neural Networks , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

[21]  Alexei A. Efros,et al.  Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[22]  Stephen J. McKenna,et al.  Combining embedded accelerometers with computer vision for recognizing food preparation activities , 2013, UbiComp.

[23]  Seunghoon Hong,et al.  Diversity-Sensitive Conditional Generative Adversarial Networks , 2019, ICLR.

[24]  Ben Poole,et al.  Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.

[25]  Mirko Rakovic,et al.  Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[26]  Kun Qian,et al.  Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[27]  Yun Fu,et al.  Adversarial Action Prediction Networks , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Hema Swetha Koppula,et al.  Anticipating Human Activities Using Object Affordances for Reactive Robotic Response , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Jun Zhao,et al.  Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.

[30]  Yoon Kim,et al.  Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.

[31]  Richard P. Wildes,et al.  Spatiotemporal Multiplier Networks for Video Action Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Richard P. Wildes,et al.  Spatiotemporal Residual Networks for Video Action Recognition , 2016, NIPS.

[33]  Razvan Pascanu,et al.  Relational recurrent neural networks , 2018, NeurIPS.

[34]  Suman Saha,et al.  Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

[35]  Amit K. Roy-Chowdhury,et al.  Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[36]  Cordelia Schmid,et al.  Relational Action Forecasting , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[37]  Sanja Fidler,et al.  Towards Diverse and Natural Image Descriptions via a Conditional GAN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[38]  Yong Yu,et al.  Long Text Generation via Adversarial Training with Leaked Information , 2017, AAAI.

[39]  Alexander G. Schwing,et al.  Diverse Generation for Multi-Agent Sports Games , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[40]  Giovanni Maria Farinella,et al.  Leveraging Uncertainty to Rethink Loss Functions and Evaluation Measures for Egocentric Action Anticipation , 2018, ECCV Workshops.

[41]  Yann Dauphin,et al.  Language Modeling with Gated Convolutional Networks , 2016, ICML.

[42]  Dima Damen,et al.  Scaling Egocentric Vision: The Dataset , 2018, ECCV.

[43]  Andrew Zisserman,et al.  Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.

[44]  Yann LeCun,et al.  Deep multi-scale video prediction beyond mean square error , 2015, ICLR.

[45]  Alexander Hauptmann,et al.  Peeking Into the Future: Predicting Future Person Activities and Locations in Videos , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[46]  Yun Fu,et al.  Deep Sequential Context Networks for Action Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[47]  Richard Hartley,et al.  Action Anticipation with RBF Kernelized Feature Mapping RNN , 2018, ECCV.

[48]  E. Gumbel Statistical Theory of Extreme Values and Some Practical Applications : A Series of Lectures , 1954 .

[49]  Yoshua Bengio,et al.  Generative Adversarial Nets , 2014, NIPS.

[50]  Antonio Torralba,et al.  Anticipating Visual Representations from Unlabeled Video , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[51]  Andrew Zisserman,et al.  Future Event Prediction: If and When , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[52]  Samy Bengio,et al.  Time-Dependent Representation for Neural Event Sequence Prediction , 2017, ICLR.

[53]  Richard P. Wildes,et al.  Spatiotemporal Feature Residual Propagation for Action Prediction , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).