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
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
You can download the Nonlinear 3D Face Morphable Model Source Code from here.
Continue readingKeywords: Face Alignment, Face Reconstruction
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
You can download the OEP dataset from here.
If you use OEP dataset, please cite the paper:
Continue readingKeywords: Application
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 face frontalization demo can be found 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
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 may be downloaded from here.
If you use 3D Face Reconstruction code, please cite to the papers:
Continue readingKeywords: Face reconstruction
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
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
We collect a multi-modality plant imagery database named “MSU-PID” including two types of plants: Arabidopsis and bean. It is captured using four types of imaging sensors:fluorescence, infrared(IR), RGB color, and depth. The imaging setup and the variety of manual labels allow MSU-PID to be used for a diverse ...
Continue readingKeywords: Plant Vision, Database
Citation
If you use SVW dataset, please refer to this paper in your publications: Continue reading
Keywords: Database, Activity Recognition
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
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 source code may be downloaded from here.
If you use the code, please cite to the papers:
Continue readingKeywords: Plant vision
