Kinematic 3D Source Code
Kinematic 3D implementation in Python and Pytorch can be downloaded from here.
If you use the Kinematic 3D code, please cite the ECCV 2020 paper.
Continue readingKeywords: 3D Object Detection, Video
Detection of Digital Face Manipulation Source Code
The prevalence of facial recognition, biometric unlock, and social media presents a significant opportunity for bad actors to introduce forged or manipulated images to spread false information or damage reputations. This is aided by the continuing improvement in realistic image synthesis and manipulation by generative adversarial network, GAN, based methods ...
Continue readingKeywords: Fake Faces, Attention Mechanism
DFFD: Diverse Fake Face Dataset
The prevalence of facial recognition, biometric unlock, and social media presents a significant opportunity for bad actors to introduce forged or manipulated images to spread false information or damage reputations. This is aided by the continuing improvement in realistic image synthesis and manipulation by generative adversarial network, GAN, based methods ...
Continue readingKeywords: Fake Faces, Attention Mechanism
Generic Object Anti-Spoofing Source Code
Biometric recognition is increasingly used in society for commercial applications and high-level security. However, recent works are not generalizable between the biometric modalities. We use live and spoof videos of generic objects to model the noise patterns for camera sensors and spoof mediums, and synthesize seen and unseen combinations of ...
Continue readingKeywords: Anti-Spoofing, Noise Synthesis
GOSet: Generic Object Anti-Spoofing Dataset
Biometric recognition is increasingly used in society for commercial applications and high-level security. However, recent works are not generalizable between the biometric modalities. We collect the GOSet dataset to study content-independent anti-spoofing.
The GOSet dataset is available here.
Continue readingKeywords: Anti-Spoofing, Noise Synthesis
3D Face Modeling Source Code
3DFC implementation in Python and Pytorch may be downloaded from here.
Continue readingKeywords: 3D face modeling
M3D-RPN Source Code
M3D-RPN implementation in Python and Pytorch may be downloaded from here.
If you use M3D-RPN code, please cite the ICCV 2019 paper.
Continue readingKeywords: 3D Object Detection
Frontal View Gait(FVG) Database
Compare to other view angles in gait recognition, frontal-view walking is a more challenging problem since it contains minimal gait cues. To facilitate this research, we collect the Front-View Gait (FVG) database in the course of two years, 2017 and 2018. FVG includes significant variations, e.g., walking speed, carrying ...
Continue readingKeywords: Gait Recognition
Face Anti-Spoofing Source Code
Deep Tree Network implementation may be downloaded from here.
Face De-Spoofing implementation may be downloaded from here.
STDN(On Disentangling Spoof Traces for Generic Face Anti-Spoofing) implementation may be downloaded from here.
If you use MSU PAD code, please cite to the papers:
Continue readingKeywords: Face Antispoofing, Deep Learning
AR-Ped Source Code
AR-Ped implementation in Matlab and Caffe may be downloaded from here.
If you use AR-Ped code, please cite the CVPR 2019 paper.
Continue readingKeywords: Pedestrian Detection
Segmentation Forecasting Source Code
Recurrent Flow-Guided Semantic Forecasting implementation in python and caffe may be downloaded from here.
If you use the segmentation forecasting code, please cite the WACV 2019 paper.
Continue readingKeywords: Forecasting, Semantic Segmentation
Depth Coefficients for Depth Completion Source Code
You can download the Depth Coefficients Source Code from here.
Continue readingKeywords: Depth Completion, 3D Object Detection
Towards Interpretable Face Recognition Source Code
The training, testing code, and pre-trianed model are available at here
Continue readingKeywords: Face recognition
Source code of Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Source code of Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos may be downloaded from here.
If you use 3D Face Reconstruction code, please cite to the papers:
Continue readingLFW and AFLW2000 Datasets
You can download the LFW from here and AFLW200 from here.
References:
[1] Tal Hassner, Shai Harel, Eran Paz, and Roee Enbar. Effective face frontalization in unconstrained images. In CVPR, 2015
[2] Xiangyu Zhu, Zhen Lei, Junjie Yan, Dong Yi, and Stan Z. Li. High-fidelity pose and expression normalization for ...
Continue readingKeywords: Face Recognition, Face Reconstruction
Missing Modalities Imputation Source Code
CVPR 2017 source code may be downloaded from here.
If you use the code, please cite to the papers:
Continue readingKeywords: Data Imputation, Multi-modality
Nonlinear 3D Face Morphable Model Source Code
You can download the Nonlinear 3D Face Morphable Model Source Code from here.
Continue readingKeywords: Face Alignment, Face Reconstruction
SiW: Spoof in the Wild Database
With the advance of sensor technology, existing antispoofing systems can be vulnerable to emerging high-quality spoof mediums. One way to make the system robust to these attacks is to collect new high-quality databases. In response to this need, we collect a new face anti-spoofing database named Spoof in the Wild ...
Continue readingKeywords: Face antispoofing
MSU-AVIS Dataset
OEP Dataset
You can download the OEP dataset from here.
If you use OEP dataset, please cite the paper:
Continue readingKeywords: Application
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition Source Code
You can download the Multi-Task CNN Source Code from here.
Continue readingKeywords: Face Recognition
SDS-RCNN Source Code
SDS-RCNN implementation in Matlab and Caffe may be downloaded from here.
If you use SDS-RCNN code, please cite the ICCV 2017 paper.
Continue readingKeywords: Pedestrian Detection
DR-GAN Frontalization Result
DR-GAN face frontalization demo can be found here.
Source code is available here.
Tensorflow pre-trained model can be download here.
Frontalized faces and feature representations of faces from benchmark datasets may be downloaded at: CFP and IJB-A.
If you use these results, please cite to the papers:
Continue readingKeywords: Face Recognition, Face Reconstruction
PIFA Source Code
Dense Face Alignment implementation may be downloaded from here.
Pose-Invariant Face Alignment with a Single CNN implementation may be downloaded from here.
PIFA implementation may be downloaded from here.
The part of AFLW database used for training and testing can be found from here.
If you use PIFA code, please ...
Continue readingKeywords: Face alignment
Deep Recursive Residual Network Code
TRGMC Source Code
TRGMC implementation in Matlab may be downloaded from here.
This project was supported by the research gift from TechSmith Inc.
If you use TRGMC code, please cite to the ECCV 2016 paper:
Continue readingKeywords: Motion Compensation, Joint Alignment, Activity Recognition
3D Face Reconstruction Binary Code
3D Face Reconstruction binary code may be downloaded from here.
If you use 3D Face Reconstruction code, please cite to the papers:
Continue readingKeywords: Face reconstruction
RGMC Source Code
RGMC implementation in Matlab may be downloaded from here.
This project was supported by the research gift from TechSmith Inc.
If you use RGMC code, please cite to the BMVC 2015 paper:
Continue readingKeywords: Motion Compensation, Activity Recognition
Multi-modality Imagery Database (MSU-PID)
The database can be downloaded from here. It includes three parts:
- all images and their labels
- the leaf labeling tool
- the Matlab implementations for performance evaluation
Please cite the following paper if you use this database:
Continue readingKeywords: Plant Vision, Database
SVW Download
- SVW videos and labels can be downloaded from here.
Citation
If you use SVW dataset, please refer to this paper in your publications: Continue reading
Keywords: Database, Activity Recognition
APFD Dataset
You can download the 200-image gallery/test dataset from here.
If you use APFD dataset, please cite to the paper:
Continue readingKeywords: Face deidentification
Typing Behavior Dataset
This dataset is released in two different forms. Acoustics: 45 subjects from phase 1. Visual: Full dataset. Typing Behavior Dataset may be downloaded from here.
We collect a first-of-its kind keystroke database in two phases. Phase 1 includes 56 subjects typing multiple same day, fixed and free text, sessions. It ...
Continue readingKeywords: Typing behavior
Plant Vision
Plant vision source code may be downloaded from here.
If you use the code, please cite to the papers:
Continue readingKeywords: Plant vision