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Page 883 of Psychological Abstracts Vol. 42, Issue 6 [page]

1968 Psychological Abstracts  
Decoders placed relatively more of their hesitations at sentence breaks than did encoders. Apparently while encoder pauses reflect uncertainty, decoder pauses tend to mark gram- matical boundaries.  ...  The selection of semantic-syntactic structure precedes selection of individual words during encoding but follows during decoding.—Journal abstract. 8908. Miller, G. R., & Coleman, E. B. (U.  ... 

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks [article]

Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
2018 arXiv   pre-print
We tackle this problem by combining tools from sequence prediction and generative adversarial networks: a recurrent sequence-to-sequence model observes motion histories and predicts future behavior, using  ...  We predict socially plausible futures by training adversarially against a recurrent discriminator, and encourage diverse predictions with a novel variety loss.  ...  G is based on encoder-decoder framework where we link the hidden states of encoder and decoder via PM. G takes as input X i and outputs predicted trajectoryŶ i .  ... 
arXiv:1803.10892v1 fatcat:zftsweewubd4dbvikaorqjxhv4

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, Alexandre Alahi
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
We tackle this problem by combining tools from sequence prediction and generative adversarial networks: a recurrent sequence-to-sequence model observes motion histories and predicts future behavior, using  ...  We predict socially plausible futures by training adversarially against a recurrent discriminator, and encourage diverse predictions with a novel variety loss.  ...  G is based on encoder-decoder framework where we link the hidden states of encoder and decoder via PM. G takes as input X i and outputs predicted trajectoryŶ i .  ... 
doi:10.1109/cvpr.2018.00240 dblp:conf/cvpr/GuptaJFSA18 fatcat:gbixikkqn5dfdesxpwmvtw2xuq

Social behavior prediction with graph U-Net+

Zhiyue Yan, Wenming Cao, Jianhua Ji
2021 Discover Internet of Things  
approaches into both encoding and decoding blocks.  ...  AbstractWe focus on the problem of predicting social media user's future behavior and consider it as a graph node binary classification task.  ...  Graph U-Net+ architecture It is well-known that encoder-decoder structure networks like graph U-Net has achieved promising performance on node-wise prediction tasks, since they can encode and decode high-level  ... 
doi:10.1007/s43926-021-00018-3 fatcat:f7srl4pb2vd43cty32wcydbpzy

Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction [article]

Xiong Dan
2020 arXiv   pre-print
It is LSTM that encode the relationship so that our model predicts nodes trajectories in crowd scenarios simultaneously.  ...  Pedestrian trajectory prediction is a critical to avoid autonomous driving collision. But this prediction is a challenging problem due to social forces and cluttered scenes.  ...  LSTM networks for sequence prediction Encoder-Decoder framework Encoder-decoder learns the state of a person and stores their history of motion and generates target sequences.  ... 
arXiv:2009.10468v2 fatcat:sjjpthtx3rcgzbhn2iawuebwja

SPGNet: Semantic Prediction Guidance for Scene Parsing [article]

Bowen Cheng and Liang-Chieh Chen and Yunchao Wei and Yukun Zhu and Zilong Huang and Jinjun Xiong and Thomas Huang and Wen-Mei Hwu and Honghui Shi
2019 arXiv   pre-print
The multi-scale context module refers to the operations to aggregate feature responses from a large spatial extent, while the single-stage encoder-decoder structure encodes the high-level semantic information  ...  Multi-scale context module and single-stage encoder-decoder structure are commonly employed for semantic segmentation.  ...  Our best SPGNet model variant employs a 2-stage encoder-decoder structures with ResNet-50 as encoder backbone and decoder channels = 256.  ... 
arXiv:1908.09798v1 fatcat:jh645mnoyve7ji3mofwuur2sue

Multi-Person 3D Motion Prediction with Multi-Range Transformers [article]

Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang
2021 arXiv   pre-print
The Transformer decoder then performs prediction for each person by taking a corresponding pose as a query which attends to both local and global-range encoder features.  ...  We propose a novel framework for multi-person 3D motion trajectory prediction. Our key observation is that a human's action and behaviors may highly depend on the other persons around.  ...  The ability to perform such predictions allows us to react and plan our own behaviors.  ... 
arXiv:2111.12073v1 fatcat:d22eemgbwjbijlwthbb4lr2vqa

Some differences in encoding and decoding messages

Wendell W. Weaver, A. C. Bickley
1967 Journal of the Reading Specialist  
The purpose of this study is to determine the ability of subjects 'co predict the omissions from a natural language text which they had previously produced themselves, as contrasted with the ability of  ...  Considered in this manner it would seem that the individual organism would be more organized, that is, he would exhibit more predictable language behavior, if he were later decoding messages which he originated  ...  One would expect the person to be able to reproduce his own language productions with higher accuracy than he would be able to reproduce the language productions of another.  ... 
doi:10.1080/19388076709556987 fatcat:lewbynkinzdrromlae4iatatty

Page 1177 of Psychological Abstracts Vol. 57, Issue 5 [page]

1977 Psychological Abstracts  
Judges weighted adjectives with extreme implications relatively more heavily both when estimating their own liking for = described by them and when predicting others’ iking for these persons; however,  ...  , including content and terminology problems of the concept of personality, the structure of the personality, and personality and culture. (14 p ref) —C.  ... 

Page 176 of Communication Abstracts Vol. 29, Issue 2 [page]

2006 Communication Abstracts  
the impact that those cognitions are likely to have on non- verbal encoding and decoding.  ...  Attachment insecurity as a filter in the decoding and encoding of nonverbal behavior in close relationships. Journal of Nonverbal Behavior, 293), 171- 176. ISSN: 0191-5886.  ... 

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition [article]

Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian Lane
2018 arXiv   pre-print
Semi-supervised learning augments labeled examples with unlabeled examples, often resulting in improved performance.  ...  In this paper, we lift this assumption and present two semi-supervised methods based on convolutional neural networks (CNNs) to learn discriminative hidden features.  ...  With a model trained only on data where a human walks at normal speed, it is very difficult to correctly predict the behavior of a human walking in a hurry.  ... 
arXiv:1801.07827v1 fatcat:5rk2julywzai5le62ha5n4yie4

Semi-supervised convolutional neural networks for human activity recognition

Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian Lane
2017 2017 IEEE International Conference on Big Data (Big Data)  
Semi-supervised learning augments labeled examples with unlabeled examples, often resulting in improved performance.  ...  In this paper, we lift this assumption and present two semi-supervised methods based on convolutional neural networks (CNNs) to learn discriminative hidden features.  ...  With a model trained only on data where a human walks at normal speed, it is very difficult to correctly predict the behavior of a human walking in a hurry.  ... 
doi:10.1109/bigdata.2017.8257967 dblp:conf/bigdataconf/ZengYWNML17 fatcat:xguekm7r5ndllaifl5njbt3qii

Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion [article]

Jianing Qiu, Lipeng Chen, Xiao Gu, Frank P.-W. Lo, Ya-Yen Tsai, Jiankai Sun, Jiaqi Liu, Benny Lo
2021 arXiv   pre-print
A Transformer-based encoder-decoder neural network model, integrated with a novel cascaded cross-attention mechanism that fuses multiple modalities, has been designed to predict the future trajectory of  ...  In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces.  ...  Transformer-based encoder-decoder structure Fig. 3 : 3 Fig. 3: (a) Overview of the model structure.  ... 
arXiv:2111.00993v2 fatcat:pcckspw6nzcbfdwm3gs7ptuj6m

Relational Recurrent Neural Networks For Vehicle Trajectory Prediction

Kaouther Messaoud, Itheri Yahiaoui, Anne Verroust-Blondet, Fawzi Nashashibi
2019 2019 IEEE Intelligent Transportation Systems Conference (ITSC)  
This paper compares the proposed approach with the LSTM encoder decoder using the new large scaled naturalistic driving highD dataset.  ...  The proposed method outperforms LSTM encoder decoder in terms of RMSE values of the predicted trajectories.  ...  Our motion prediction results are compared with LSTM based encoder decoder model. III.  ... 
doi:10.1109/itsc.2019.8916887 dblp:conf/itsc/MessaoudYVN19 fatcat:t37h24wjsjg4njvv63lap75gcm

Group Behavior Pattern Recognition Algorithm Based on Spatio-Temporal Graph Convolutional Networks

Xinfang Chen, Venkata Dinavahi, Shah Nazir
2021 Scientific Programming  
Experimental results on public datasets show that the proposed method has high accuracy and can effectively predict group behavior.  ...  Finally, a crowd behavior analysis method based on density grade division was designed to complete crowd density analysis and video group behavior detection.  ...  , (4) where x t i is the predicted feature mask input of the person i in the tth frame of the first-layer encoding stage, h t i is the output result of the hidden layer of the person i in the tth frame  ... 
doi:10.1155/2021/2934943 fatcat:zqn7agiasrhu3lhg5nki3zqrhy
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