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Context-empowered Visual Attention Prediction in Pedestrian Scenarios

Context-empowered Visual Attention Prediction in Pedestrian Scenarios

30 October 2022
Igor Vozniak
Philipp Mueller
Lorena Hell
Nils Lipp
Ahmed Abouelazm
Christian Mueller
ArXivPDFHTML

Papers citing "Context-empowered Visual Attention Prediction in Pedestrian Scenarios"

29 / 29 papers shown
Title
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback
  Convolutional Networks
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding
Nevrez Imamoglu
Ali Caglayan
M. Murakawa
Ryosuke Nakamura
33
24
0
07 Dec 2021
DeepGaze IIE: Calibrated prediction in and out-of-domain for
  state-of-the-art saliency modeling
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling
Akis Linardos
Matthias Kümmerer
Ori Press
Matthias Bethge
MDE
26
66
0
26 May 2021
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object
  Detection
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang
Shaoshuai Shi
Zhe Wang
Hongsheng Li
Xiaojuan Qi
3DPC
31
187
0
09 Mar 2021
Unified Image and Video Saliency Modeling
Unified Image and Video Saliency Modeling
Richard Droste
Jianbo Jiao
J. A. Noble
72
157
0
11 Mar 2020
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PER
UD
144
1,388
0
21 Oct 2019
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for
  Video Saliency Detection
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection
Kyle Min
Jason J. Corso
30
150
0
15 Aug 2019
Simple vs complex temporal recurrences for video saliency prediction
Simple vs complex temporal recurrences for video saliency prediction
Panagiotis Linardos
Eva Mohedano
J. Nieto
Noel E. O'Connor
Xavier Giró-i-Nieto
Kevin McGuinness
FAtt
25
87
0
03 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
38
17,950
0
28 May 2019
How is Gaze Influenced by Image Transformations? Dataset and Model
How is Gaze Influenced by Image Transformations? Dataset and Model
Zhaohui Che
Ali Borji
Guangtao Zhai
Xiongkuo Min
G. Guo
P. Le Callet
27
77
0
16 May 2019
Digging Deeper into Egocentric Gaze Prediction
Digging Deeper into Egocentric Gaze Prediction
Hamed R. Tavakoli
Esa Rahtu
Arno Solin
Ali Borji
EgoV
29
30
0
12 Apr 2019
A Dilated Inception Network for Visual Saliency Prediction
A Dilated Inception Network for Visual Saliency Prediction
Sheng Yang
Guosheng Lin
Qiuping Jiang
Weisi Lin
27
128
0
07 Apr 2019
Contextual Encoder-Decoder Network for Visual Saliency Prediction
Contextual Encoder-Decoder Network for Visual Saliency Prediction
Alexander Kroner
M. Senden
K. Driessens
R. Goebel
31
189
0
18 Feb 2019
Mutual Context Network for Jointly Estimating Egocentric Gaze and
  Actions
Mutual Context Network for Jointly Estimating Egocentric Gaze and Actions
Yifei Huang
Zhenqiang Li
Minjie Cai
Yoichi Sato
EgoV
21
63
0
07 Jan 2019
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
56
1,531
0
29 May 2018
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction
EML-NET:An Expandable Multi-Layer NETwork for Saliency Prediction
Sen Jia
Neil D. B. Bruce
30
161
0
02 May 2018
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Wenguan Wang
Jianbing Shen
Fang Guo
Ming-Ming Cheng
Ali Borji
VLM
23
264
0
23 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
101
19,124
0
13 Jan 2018
Personalized Saliency and its Prediction
Personalized Saliency and its Prediction
Yanyu Xu
Shenghua Gao
Junru Wu
Nianyi Li
Jingyi Yu
44
51
0
09 Oct 2017
Predicting Video Saliency with Object-to-Motion CNN and Two-layer
  Convolutional LSTM
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang
Mai Xu
Zulin Wang
38
121
0
19 Sep 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
225
4,667
0
15 Mar 2017
Agreeing to Cross: How Drivers and Pedestrians Communicate
Agreeing to Cross: How Drivers and Pedestrians Communicate
Amir Rasouli
Iuliia Kotseruba
John K. Tsotsos
3DV
94
198
0
12 Feb 2017
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive
  Model
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
55
549
0
29 Nov 2016
DeepGaze II: Reading fixations from deep features trained on object
  recognition
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer
Thomas S. A. Wallis
Matthias Bethge
42
288
0
05 Oct 2016
What do different evaluation metrics tell us about saliency models?
What do different evaluation metrics tell us about saliency models?
Zoya Bylinskii
Tilke Judd
A. Oliva
Antonio Torralba
F. Durand
XAI
25
815
0
12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
422
11,540
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
901
192,638
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
316
149,474
0
22 Dec 2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on
  ImageNet
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer
Lucas Theis
Matthias Bethge
FAtt
64
407
0
04 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
561
99,991
0
04 Sep 2014
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