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Invertible Zero-Shot Recognition Flows

Invertible Zero-Shot Recognition Flows

9 July 2020
Yuming Shen
Jie Qin
Lei Huang
    BDL
    AI4CE
ArXivPDFHTML

Papers citing "Invertible Zero-Shot Recognition Flows"

47 / 47 papers shown
Title
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
GenZSL: Generative Zero-Shot Learning Via Inductive Variational Autoencoder
Shiming Chen
Dingjie Fu
Salman Khan
Fahad Shahbaz Khan
VLM
57
0
0
17 May 2025
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
85
30,021
0
01 Mar 2022
Exploiting Semantics for Face Image Deblurring
Exploiting Semantics for Face Image Deblurring
Ziyi Shen
Wei-Sheng Lai
Tingfa Xu
Jan Kautz
Ming-Hsuan Yang
CVBM
27
33
0
19 Jan 2020
Human-Aware Motion Deblurring
Human-Aware Motion Deblurring
Ziyi Shen
Wenguan Wang
Xiankai Lu
Jianbing Shen
Haibin Ling
Tingfa Xu
Ling Shao
3DH
38
286
0
19 Jan 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
106
42,038
0
03 Dec 2019
Zero-shot Learning via Simultaneous Generating and Learning
Zero-shot Learning via Simultaneous Generating and Learning
Hyeonwoo Yu
Beomhee Lee
VLM
GAN
31
54
0
21 Oct 2019
Rethinking Zero-Shot Learning: A Conditional Visual Classification
  Perspective
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective
Keqin Li
Martin Renqiang Min
Y. Fu
VLM
83
126
0
13 Sep 2019
Transferable Contrastive Network for Generalized Zero-Shot Learning
Transferable Contrastive Network for Generalized Zero-Shot Learning
Huajie Jiang
Ruiping Wang
Shiguang Shan
Xilin Chen
VLM
56
176
0
16 Aug 2019
Guided Image Generation with Conditional Invertible Neural Networks
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone
Carsten T. Lüth
Jakob Kruse
Carsten Rother
Ullrich Kothe
DRL
26
295
0
04 Jul 2019
Discrete Flows: Invertible Generative Models of Discrete Data
Discrete Flows: Invertible Generative Models of Discrete Data
Dustin Tran
Keyon Vafa
Kumar Krishna Agrawal
Laurent Dinh
Ben Poole
DRL
93
116
0
24 May 2019
Integer Discrete Flows and Lossless Compression
Integer Discrete Flows and Lossless Compression
Emiel Hoogeboom
Jorn W. T. Peters
Rianne van den Berg
Max Welling
37
158
0
17 May 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation
  for Generative Zero-Shot Learning
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
Yizhe Zhu
Jianwen Xie
Bingchen Liu
Ahmed Elgammal
VLM
24
87
0
22 Apr 2019
Out-of-Distribution Detection for Generalized Zero-Shot Action
  Recognition
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal
Sanath Narayan
Sai Kumar Dwivedi
Vikram Gupta
Shuaib Ahmed
Fahad Shahbaz Khan
Ling Shao
OODD
29
142
0
18 Apr 2019
Leveraging the Invariant Side of Generative Zero-Shot Learning
Leveraging the Invariant Side of Generative Zero-Shot Learning
Jingjing Li
Mengmeng Jing
Ke Lu
Zhengming Ding
Lei Zhu
Zi Huang
VLM
GAN
20
305
0
08 Apr 2019
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Conditional Adversarial Generative Flow for Controllable Image Synthesis
R. Liu
Yu Liu
Xinyu Gong
Xiaogang Wang
Hongsheng Li
36
45
0
03 Apr 2019
Creativity Inspired Zero-Shot Learning
Creativity Inspired Zero-Shot Learning
Mohamed Elhoseiny
Mohamed Elfeki
VLM
52
72
0
01 Apr 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian
Saurabh Sharma
Bernt Schiele
Zeynep Akata
GAN
VLM
62
487
0
25 Mar 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational
  Autoencoders
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Edgar Schönfeld
Sayna Ebrahimi
Samarth Sinha
Trevor Darrell
Zeynep Akata
DRL
54
593
0
05 Dec 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
40
221
0
12 Nov 2018
WaveGlow: A Flow-based Generative Network for Speech Synthesis
WaveGlow: A Flow-based Generative Network for Speech Synthesis
R. Prenger
Rafael Valle
Bryan Catanzaro
115
1,024
0
31 Oct 2018
Analyzing Inverse Problems with Invertible Neural Networks
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
40
489
0
14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDL
DRL
177
3,110
0
09 Jul 2018
Learning Factorized Multimodal Representations
Learning Factorized Multimodal Representations
Yao-Hung Hubert Tsai
Paul Pu Liang
Amir Zadeh
Louis-Philippe Morency
Ruslan Salakhutdinov
DRL
76
408
0
16 Jun 2018
Zero-Shot Sketch-Image Hashing
Zero-Shot Sketch-Image Hashing
Yuming Shen
Li Liu
Fumin Shen
Ling Shao
40
151
0
06 Mar 2018
Zero-Shot Kernel Learning
Zero-Shot Kernel Learning
Hongguang Zhang
Piotr Koniusz
VLM
32
110
0
05 Feb 2018
Generalized Zero-Shot Learning via Synthesized Examples
Generalized Zero-Shot Learning via Synthesized Examples
Vinay Kumar Verma
Gundeep Arora
Ashish Mishra
Piyush Rai
50
451
0
11 Dec 2017
Feature Generating Networks for Zero-Shot Learning
Feature Generating Networks for Zero-Shot Learning
Yongqin Xian
Tobias Lorenz
Bernt Schiele
Zeynep Akata
GAN
VLM
45
927
0
04 Dec 2017
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
162
4,035
0
16 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
90
1,049
0
05 Nov 2017
A Generative Model For Zero Shot Learning Using Conditional Variational
  Autoencoders
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders
Ashish Mishra
M. K. Reddy
Anurag Mittal
H. Murthy
GAN
VLM
DRL
51
298
0
03 Sep 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
114
1,554
0
03 Jul 2017
Semantic Autoencoder for Zero-Shot Learning
Semantic Autoencoder for Zero-Shot Learning
Elyor Kodirov
Tao Xiang
S. Gong
VLM
57
822
0
26 Apr 2017
Learning Robust Visual-Semantic Embeddings
Learning Robust Visual-Semantic Embeddings
Yao-Hung Hubert Tsai
Liang-Kang Huang
Ruslan Salakhutdinov
SSL
AI4TS
38
166
0
17 Mar 2017
Zero-Shot Learning -- The Good, the Bad and the Ugly
Zero-Shot Learning -- The Good, the Bad and the Ugly
Yongqin Xian
Bernt Schiele
Zeynep Akata
33
834
0
13 Mar 2017
Mode Regularized Generative Adversarial Networks
Mode Regularized Generative Adversarial Networks
Tong Che
Yanran Li
Athul Paul Jacob
Yoshua Bengio
Wenjie Li
GAN
91
551
0
07 Dec 2016
Learning a Deep Embedding Model for Zero-Shot Learning
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang
Tao Xiang
S. Gong
SyDa
VLM
82
703
0
15 Nov 2016
Zero-Shot Visual Recognition via Bidirectional Latent Embedding
Zero-Shot Visual Recognition via Bidirectional Latent Embedding
Qian Wang
Ke Chen
BDL
53
164
0
07 Jul 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
145
3,670
0
26 May 2016
Latent Embeddings for Zero-shot Classification
Latent Embeddings for Zero-shot Classification
Yongqin Xian
Zeynep Akata
Gaurav Sharma
Quynh N. Nguyen
Matthias Hein
Bernt Schiele
BDL
31
717
0
29 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
998
192,638
0
10 Dec 2015
Zero-Shot Learning via Semantic Similarity Embedding
Zero-Shot Learning via Semantic Similarity Embedding
Ziming Zhang
Venkatesh Saligrama
34
615
0
15 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
421
149,474
0
22 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRL
BDL
67
2,246
0
30 Oct 2014
Evaluation of Output Embeddings for Fine-Grained Image Classification
Evaluation of Output Embeddings for Fine-Grained Image Classification
Zeynep Akata
Scott E. Reed
D. Walter
Honglak Lee
Bernt Schiele
48
1,018
0
30 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
315
16,972
0
20 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
227
33,445
0
16 Oct 2013
Zero-Shot Learning Through Cross-Modal Transfer
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
91
1,467
0
16 Jan 2013
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