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Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person
  Generalization in Activity Recognition

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition

7 June 2024
Junru Zhang
Lang Feng
Zhidan Liu
Yuhan Wu
Yang He
Yabo Dong
Duanqing Xu
ArXivPDFHTML

Papers citing "Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition"

35 / 35 papers shown
Title
Resisting Stochastic Risks in Diffusion Planners with the Trajectory
  Aggregation Tree
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng
Pengjie Gu
Jingyi Wang
Gang Pan
71
4
0
28 May 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
85
19
0
20 Dec 2023
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning
  Behavior in Time Series Classification from Frequency Domain
Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain
Junru Zhang
Lang Feng
Yang He
Yuhan Wu
Yabo Dong
AI4TS
63
6
0
09 Oct 2023
Diffusion Models for Time Series Applications: A Survey
Diffusion Models for Time Series Applications: A Survey
Lequan Lin
Zhengkun Li
Ruikun Li
Xuliang Li
Junbin Gao
MedIm
DiffM
85
70
0
01 May 2023
Understanding Diffusion Models: A Unified Perspective
Understanding Diffusion Models: A Unified Perspective
Calvin Luo
DiffM
80
341
0
25 Aug 2022
Domain-Specific Risk Minimization for Out-of-Distribution Generalization
Domain-Specific Risk Minimization for Out-of-Distribution Generalization
Yi-Fan Zhang
Jindong Wang
Jian Liang
Zhang Zhang
Baosheng Yu
Liangdao Wang
Dacheng Tao
Xingxu Xie
OOD
67
17
0
18 Aug 2022
Domain Generalization for Activity Recognition via Adaptive Feature
  Fusion
Domain Generalization for Activity Recognition via Adaptive Feature Fusion
Xin Qin
Jindong Wang
Yiqiang Chen
Wang Lu
Xinlong Jiang
OOD
112
37
0
21 Jul 2022
GLIPv2: Unifying Localization and Vision-Language Understanding
GLIPv2: Unifying Localization and Vision-Language Understanding
Haotian Zhang
Pengchuan Zhang
Xiaowei Hu
Yen-Chun Chen
Liunian Harold Li
Xiyang Dai
Lijuan Wang
Lu Yuan
Lei Li
Jianfeng Gao
ObjD
VLM
90
298
0
12 Jun 2022
Compositional Visual Generation with Composable Diffusion Models
Compositional Visual Generation with Composable Diffusion Models
Nan Liu
Shuang Li
Yilun Du
Antonio Torralba
J. Tenenbaum
DiffM
CoGe
167
519
0
03 Jun 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
232
823
0
27 May 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
111
186
0
28 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
345
1,405
0
24 Jan 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLL
VPVLM
KELM
VLM
96
773
0
16 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
135
1,074
0
01 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A
  Review on Advances
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang
Yaxuan Li
Shen Zhang
Farzad Shahabi
S. Xia
Yuanbei Deng
N. Alshurafa
BDL
58
305
0
31 Oct 2021
Exploiting Domain-Specific Features to Enhance Domain Generalization
Exploiting Domain-Specific Features to Enhance Domain Generalization
Manh-Ha Bui
Toan M. Tran
Anh Tran
D.Q. Phung
OOD
72
130
0
18 Oct 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time
  Series Imputation
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Y. Tashiro
Jiaming Song
Yang Song
Stefano Ermon
BDL
DiffM
51
539
0
07 Jul 2021
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
85
503
0
26 Jun 2021
Progressive Domain Expansion Network for Single Domain Generalization
Progressive Domain Expansion Network for Single Domain Generalization
Lei Li
Ke Gao
Juan Cao
Ziyao Huang
Yepeng Weng
Xiaoyue Mi
Zhengze Yu
Xiaoya Li
Boyang Xia
OOD
AI4CE
57
167
0
30 Mar 2021
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
260
7,356
0
06 Oct 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural
  Networks
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu
Mozhi Zhang
Jingling Li
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
MLT
104
312
0
24 Sep 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
90
631
0
05 Jul 2020
Multi-Source Deep Domain Adaptation with Weak Supervision for
  Time-Series Sensor Data
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor Data
Garrett Wilson
J. Doppa
D. Cook
TTA
AI4TS
AI4CE
65
146
0
22 May 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
393
10,591
0
17 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
361
18,752
0
13 Feb 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview,
  Challenges and Opportunities
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
Kaixuan Chen
Dalin Zhang
Lina Yao
Bin Guo
Zhiwen Yu
Yunhao Liu
HAI
59
632
0
21 Jan 2020
Adversarial Domain Adaptation with Domain Mixup
Adversarial Domain Adaptation with Domain Mixup
Minghao Xu
Jian Zhang
Bingbing Ni
Teng Li
Chengjie Wang
Qi Tian
Wenjun Zhang
52
447
0
04 Dec 2019
Causal Discovery from Heterogeneous/Nonstationary Data with Independent
  Changes
Causal Discovery from Heterogeneous/Nonstationary Data with Independent Changes
Erdun Gao
Kun Zhang
Jiji Zhang
Joseph Ramsey
Ruben Sanchez-Romero
Clark Glymour
Bernhard Schölkopf
57
226
0
05 Mar 2019
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OOD
AI4CE
87
352
0
13 Dec 2018
Data Augmentation of Wearable Sensor Data for Parkinson's Disease
  Monitoring using Convolutional Neural Networks
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
T. T. Um
Franz MJ Pfister
Daniel C. Pichler
Satoshi Endo
Muriel Lang
Sandra Hirche
U. Fietzek
Dana Kulić
83
677
0
02 Jun 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
372
9,486
0
28 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDa
DiffM
298
6,931
0
12 Mar 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,049
0
20 Dec 2014
Domain-Adversarial Neural Networks
Domain-Adversarial Neural Networks
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
OOD
GAN
DRL
89
309
0
15 Dec 2014
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
127
1,179
0
10 Jan 2013
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