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Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open
  Set Action Recognition

Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition

12 December 2022
Dawei Du
Ameya Shringi
A. Hoogs
Christopher Funk
ArXivPDFHTML

Papers citing "Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition"

34 / 34 papers shown
Title
Contrastive Training for Improved Out-of-Distribution Detection
Contrastive Training for Improved Out-of-Distribution Detection
Jim Winkens
Rudy Bunel
Abhijit Guha Roy
Robert Stanforth
Vivek Natarajan
...
Alan Karthikesalingam
Simon A. A. Kohl
taylan. cemgil
S. M. Ali Eslami
Olaf Ronneberger
OODD
99
239
0
10 Jul 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
123
1,013
0
09 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
312
42,038
0
03 Dec 2019
Identifying Unknown Instances for Autonomous Driving
Identifying Unknown Instances for Autonomous Driving
K. Wong
Shenlong Wang
Mengye Ren
Ming Liang
R. Urtasun
89
110
0
24 Oct 2019
Open Set Recognition Through Deep Neural Network Uncertainty: Does
  Out-of-Distribution Detection Require Generative Classifiers?
Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
Martin Mundt
Iuliia Pliushch
Sagnik Majumder
Visvanathan Ramesh
UQCV
EDL
48
40
0
26 Aug 2019
Open Set Domain Adaptation for Image and Action Recognition
Open Set Domain Adaptation for Image and Action Recognition
Pau Panareda Busto
Ahsan Iqbal
Juergen Gall
VLM
32
88
0
30 Jul 2019
Graph Attention Auto-Encoders
Graph Attention Auto-Encoders
Amin Salehi
H. Davulcu
GNN
47
120
0
26 May 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
114
1,333
0
07 Apr 2019
Memorizing Normality to Detect Anomaly: Memory-augmented Deep
  Autoencoder for Unsupervised Anomaly Detection
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection
Dong Gong
Lingqiao Liu
Vuong Le
Budhaditya Saha
M. Mansour
Svetha Venkatesh
Anton Van Den Hengel
UQCV
39
1,254
0
04 Apr 2019
Deep Transfer Learning for Multiple Class Novelty Detection
Deep Transfer Learning for Multiple Class Novelty Detection
Pramuditha Perera
Vishal M. Patel
83
98
0
06 Mar 2019
ODN: Opening the Deep Network for Open-set Action Recognition
ODN: Opening the Deep Network for Open-set Action Recognition
Yu Shu
Yemin Shi
Yaowei Wang
Yixiong Zou
Qingsheng Yuan
Yonghong Tian
38
47
0
23 Jan 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
152
3,244
0
10 Dec 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
100
763
0
21 Nov 2018
Informed Democracy: Voting-based Novelty Detection for Action
  Recognition
Informed Democracy: Voting-based Novelty Detection for Action Recognition
Alina Roitberg
Ziad Al-Halah
Rainer Stiefelhagen
47
30
0
30 Oct 2018
Metric Learning for Novelty and Anomaly Detection
Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
J. Serrat
Joost van de Weijer
Antonio M. López
OODD
57
80
0
16 Aug 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
238
6,102
0
24 Jan 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
189
3,007
0
30 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
116
1,926
0
27 Nov 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
239
8,867
0
21 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
384
19,991
0
30 Oct 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
212
7,961
0
22 May 2017
Sparse Representation-based Open Set Recognition
Sparse Representation-based Open Set Recognition
He Zhang
Vishal M. Patel
44
175
0
06 May 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
345
7,388
0
04 Apr 2017
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
  Learning and Geometric Modeling
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos
S. Gehrig
Peter Pinggera
Uwe Franke
Carsten Rother
111
174
0
20 Dec 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNN
BDL
SSL
CML
121
3,559
0
21 Nov 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
122
3,420
0
07 Oct 2016
Temporal Segment Networks: Towards Good Practices for Deep Action
  Recognition
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
95
3,814
0
02 Aug 2016
Convolutional Two-Stream Network Fusion for Video Action Recognition
Convolutional Two-Stream Network Fusion for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
134
2,606
0
22 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
126
1,098
0
15 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
The Extreme Value Machine
The Extreme Value Machine
Ethan M. Rudd
Lalit P. Jain
Walter J. Scheirer
Terrance E. Boult
VLM
57
298
0
19 Jun 2015
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
231
7,518
0
09 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
168
4,856
0
21 Dec 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIP
VGen
98
6,100
0
03 Dec 2012
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