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Deep Learning Face Attributes in the Wild

Deep Learning Face Attributes in the Wild

28 November 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
    CVBM
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Papers citing "Deep Learning Face Attributes in the Wild"

50 / 3,186 papers shown
Title
Improving Bias in Facial Attribute Classification: A Combined Impact of
  KL Divergence induced Loss Function and Dual Attention
Improving Bias in Facial Attribute Classification: A Combined Impact of KL Divergence induced Loss Function and Dual Attention
Shweta Patel
Dakshina Ranjan Kisku
FaML
16
0
0
15 Oct 2024
A Simple Approach to Unifying Diffusion-based Conditional Generation
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li
Charles Herrmann
Kelvin C.K. Chan
Yinxiao Li
Deqing Sun
Chao Ma
Ming Yang
DiffM
VLM
43
1
0
15 Oct 2024
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware
  Trajectory Prediction
TrajDiffuse: A Conditional Diffusion Model for Environment-Aware Trajectory Prediction
Qingze
Liu
Danrui Li
Samuel S. Sohn
Sejong Yoon
Mubbasir Kapadia
Vladimir Pavlovic
18
1
0
14 Oct 2024
Efficient Federated Unlearning under Plausible Deniability
Efficient Federated Unlearning under Plausible Deniability
Ayush K. Varshney
V. Torra
MU
38
3
0
13 Oct 2024
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented
  Generative Diffusion Prior
AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion Prior
Guoqiang Liang
Qingnan Fan
Bingtao Fu
Jinwei Chen
Hong Gu
Lin Wang
DiffM
34
0
0
13 Oct 2024
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach
Daniel Gallo Fernández
Rǎzvan-Andrei Matişan
Alejandro Monroy Muñoz
Ana-Maria Vasilcoiu
Janusz Partyka
Tin Hadži Veljković
Metod Jazbec
DiffM
27
0
0
12 Oct 2024
Can Vision-Language Models Replace Human Annotators: A Case Study with
  CelebA Dataset
Can Vision-Language Models Replace Human Annotators: A Case Study with CelebA Dataset
Haoming Lu
Feifei Zhong
18
1
0
12 Oct 2024
Debiasing Vison-Language Models with Text-Only Training
Debiasing Vison-Language Models with Text-Only Training
Yunfan Yang
Chaoquan Jiang
Zhiyu Lin
Jinlin Xiao
Jiaming Zhang
Jitao Sang
VLM
28
1
0
12 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to
  Subpopulation Attacks
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks
Isha Gupta
Hidde Lycklama
Emanuel Opel
Evan Rose
Anwar Hithnawi
AAML
32
0
0
11 Oct 2024
Losing dimensions: Geometric memorization in generative diffusion
Losing dimensions: Geometric memorization in generative diffusion
Beatrice Achilli
Enrico Ventura
Gianluigi Silvestri
Bao Pham
G. Raya
Dmitry Krotov
Carlo Lucibello
L. Ambrogioni
45
4
0
11 Oct 2024
Semantic Token Reweighting for Interpretable and Controllable Text
  Embeddings in CLIP
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
Eunji Kim
Kyuhong Shim
Simyung Chang
Sungroh Yoon
CLIP
28
0
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
29
4
0
11 Oct 2024
Neural Metamorphosis
Neural Metamorphosis
Xingyi Yang
Xinchao Wang
26
1
0
10 Oct 2024
Mitigation of gender bias in automatic facial non-verbal behaviors
  generation
Mitigation of gender bias in automatic facial non-verbal behaviors generation
Alice Delbosc
M. Ochs
Nicolas Sabouret
Brian Ravenet
Stéphane Ayache
29
0
0
09 Oct 2024
Unsupervised Model Diagnosis
Unsupervised Model Diagnosis
Yinong Wang
Eileen Li
Jinqi Luo
Zhaoning Wang
Fernando De la Torre
AAML
26
1
0
08 Oct 2024
CALoR: Towards Comprehensive Model Inversion Defense
CALoR: Towards Comprehensive Model Inversion Defense
Hongyao Yu
Yixiang Qiu
Hao Fang
Bin Chen
Sijin Yu
Bin Wang
Shu-Tao Xia
Ke Xu
27
1
0
08 Oct 2024
Compositional Risk Minimization
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Ioannis Mitliagkas
Kartik Ahuja
Pascal Vincent
Pascal Vincent
26
3
0
08 Oct 2024
Compression via Pre-trained Transformers: A Study on Byte-Level
  Multimodal Data
Compression via Pre-trained Transformers: A Study on Byte-Level Multimodal Data
David Heurtel-Depeiges
Anian Ruoss
Joel Veness
Tim Genewein
25
1
0
07 Oct 2024
Trained Models Tell Us How to Make Them Robust to Spurious Correlation
  without Group Annotation
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation
Mahdi Ghaznavi
Hesam Asadollahzadeh
Fahimeh Hosseini Noohdani
Soroush Vafaie Tabar
Hosein Hasani
Taha Akbari Alvanagh
M. Rohban
M. Baghshah
32
0
0
07 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep
  Learning Models
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models
Aye Phyu Phyu Aung
Xinrun Wang
Ruiyu Wang
Hau Chan
Bo An
Xiaoli Li
J. Senthilnath
AAML
16
0
0
07 Oct 2024
Organizing Unstructured Image Collections using Natural Language
Organizing Unstructured Image Collections using Natural Language
Mingxuan Liu
Zhun Zhong
Jun Li
Gianni Franchi
Subhankar Roy
Elisa Ricci
VLM
39
3
0
07 Oct 2024
Towards Unsupervised Blind Face Restoration using Diffusion Prior
Towards Unsupervised Blind Face Restoration using Diffusion Prior
Tianshu Kuai
Sina Honari
Igor Gilitschenski
Alex Levinshtein
DiffM
33
0
0
06 Oct 2024
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces
  for Large Finetuned Models
Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models
Theo Putterman
Derek Lim
Yoav Gelberg
Stefanie Jegelka
Haggai Maron
AI4CE
43
5
0
05 Oct 2024
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model
Keda Tao
Jinjin Gu
Yulun Zhang
Xiucheng Wang
Nan Cheng
DiffM
57
3
0
05 Oct 2024
Latent Abstractions in Generative Diffusion Models
Latent Abstractions in Generative Diffusion Models
Giulio Franzese
Mattia Martini
Giulio Corallo
Paolo Papotti
Pietro Michiardi
DiffM
31
0
0
04 Oct 2024
In-context Learning in Presence of Spurious Correlations
In-context Learning in Presence of Spurious Correlations
Hrayr Harutyunyan
R. Darbinyan
Samvel Karapetyan
Hrant Khachatrian
LRM
46
1
0
04 Oct 2024
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Liangze Jiang
Damien Teney
OODD
OOD
28
1
0
03 Oct 2024
Scalable Simulation-free Entropic Unbalanced Optimal Transport
Scalable Simulation-free Entropic Unbalanced Optimal Transport
Jaemoo Choi
Jaewoong Choi
OT
23
0
0
03 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation
Improving Neural Optimal Transport via Displacement Interpolation
Jaemoo Choi
Yongxin Chen
Jaewoong Choi
OT
43
0
0
03 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
PFGuard: A Generative Framework with Privacy and Fairness Safeguards
Soyeon Kim
Yuji Roh
Geon Heo
Steven Euijong Whang
31
0
0
03 Oct 2024
Tuning Frequency Bias of State Space Models
Tuning Frequency Bias of State Space Models
Annan Yu
Dongwei Lyu
S. H. Lim
Michael W. Mahoney
N. Benjamin Erichson
38
2
0
02 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
28
0
0
02 Oct 2024
Social Media Authentication and Combating Deepfakes using Semi-fragile
  Invisible Image Watermarking
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking
Aakash Varma Nadimpalli
A. Rattani
AAML
WIGM
30
1
0
02 Oct 2024
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data
  Free Distillation
Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
Md Fahim Sikder
Daniel de Leng
Fredrik Heintz
29
1
0
02 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
38
0
0
02 Oct 2024
Towards Native Generative Model for 3D Head Avatar
Towards Native Generative Model for 3D Head Avatar
Yiyu Zhuang
Yuxiao He
Jiawei Zhang
Yanwen Wang
Jiahe Zhu
Yao Yao
Siyu Zhu
Xun Cao
Hao Zhu
3DH
34
4
0
02 Oct 2024
WiGNet: Windowed Vision Graph Neural Network
WiGNet: Windowed Vision Graph Neural Network
Gabriele Spadaro
Marco Grangetto
A. Fiandrotti
Enzo Tartaglione
Jhony H. Giraldo
18
0
0
01 Oct 2024
Descriptor: Face Detection Dataset for Programmable Threshold-Based
  Sparse-Vision
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision
Riadul Islam
Sri Ranga Sai Krishna Tummala
Joey Mulé
Rohith Kankipati
Suraj Jalapally
Dhandeep Challagundla
Chad Howard
Ryan Robucci
CVBM
19
1
0
01 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
63
2
0
01 Oct 2024
Quantized and Asynchronous Federated Learning
Quantized and Asynchronous Federated Learning
Tomàs Ortega
Hamid Jafarkhani
FedML
26
0
0
30 Sep 2024
Neural-Polyptych: Content Controllable Painting Recreation for Diverse
  Genres
Neural-Polyptych: Content Controllable Painting Recreation for Diverse Genres
Yiming Zhao
Dewen Guo
Zhouhui Lian
Yue Gao
Jianhong Han
J. Feng
Guoping Wang
Bingfeng Zhou
Sheng Li
DiffM
18
0
0
29 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while
  Disentangling Intentional from Unintentional Noises
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
Anubhooti Jain
Susim Roy
Kwanit Gupta
Mayank Vatsa
Richa Singh
AAML
22
0
0
29 Sep 2024
Self-supervised Auxiliary Learning for Texture and Model-based Hybrid
  Robust and Fair Featuring in Face Analysis
Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis
Shukesh Reddy
Nishit Poddar
Srijan Das
Abhijit Das
CVBM
30
0
0
29 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted
  Classes
Learning to Obstruct Few-Shot Image Classification over Restricted Classes
Amber Yijia Zheng
Chiao-An Yang
Raymond A. Yeh
27
1
0
28 Sep 2024
Fairness without Sensitive Attributes via Knowledge Sharing
Fairness without Sensitive Attributes via Knowledge Sharing
Hongliang Ni
Lei Han
Tong Chen
S. Sadiq
Gianluca Demartini
34
2
0
27 Sep 2024
Harnessing and modulating chaos to sample from neural generative models
Harnessing and modulating chaos to sample from neural generative models
Rishidev Chaudhuri
Vivek Handebagh
16
0
0
26 Sep 2024
Visual Data Diagnosis and Debiasing with Concept Graphs
Visual Data Diagnosis and Debiasing with Concept Graphs
Rwiddhi Chakraborty
Yinong Wang
Jialu Gao
Runkai Zheng
Cheng Zhang
Fernando De la Torre
32
2
0
26 Sep 2024
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image
  Defense
Perturb, Attend, Detect and Localize (PADL): Robust Proactive Image Defense
Filippo Bartolucci
I. Masi
G. Lisanti
AAML
30
1
0
26 Sep 2024
Face Forgery Detection with Elaborate Backbone
Face Forgery Detection with Elaborate Backbone
Zonghui Guo
Y. Liu
Jie Zhang
Haiyong Zheng
Shiguang Shan
AAML
CVBM
25
1
0
25 Sep 2024
VLEU: a Method for Automatic Evaluation for Generalizability of
  Text-to-Image Models
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models
Jingtao Cao
Zheng Zhang
Hongru Wang
Kam-Fai Wong
29
0
0
23 Sep 2024
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