15 citations · 54 across the 14 of their papers we have counts for
14 papers
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification
Feng Liu, Minchul Kim, ZiAng Gu +2
Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition…
DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
Minchul Kim, Feng Liu, Anil Jain +1
Generating synthetic datasets for training face recognition models is challenging because dataset generation entails more than creating high fidelity images. It involves generating…
Cluster and Aggregate: Face Recognition with Large Probe Set
Minchul Kim, Feng Liu, Anil Jain +1
Feature fusion plays a crucial role in unconstrained face recognition where inputs (probes) comprise of a set of low quality images whose individual qualities vary. Advances in…
Multi-domain Learning for Updating Face Anti-spoofing Models
Xiao Guo, Yaojie Liu, Anil Jain +1
In this work, we study multi-domain learning for face anti-spoofing(MD-FAS), where a pre-trained FAS model needs to be updated to perform equally well on both source and target dom…
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection
Abhinav Kumar, Garrick Brazil, Enrique Corona +2
Modern neural networks use building blocks such as convolutions that are equivariant to arbitrary 2D translations. However, these vanilla blocks are not equivariant to arbitrary 3D…
2D GANs Meet Unsupervised Single-view 3D Reconstruction
Feng Liu, Xiaoming Liu
Recent research has shown that controllable image generation based on pre-trained GANs can benefit a wide range of computer vision tasks. However, less attention has been devoted t…
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Feng Liu, Minchul Kim, Anil Jain +1
Although significant advances have been made in face recognition (FR), FR in unconstrained environments remains challenging due to the domain gap between the semi-constrained train…
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim, Anil K. Jain, Xiaoming Liu
Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discr…
Proactive Image Manipulation Detection
Vishal Asnani, Xi Yin, Tal Hassner +2
Image manipulation detection algorithms are often trained to discriminate between images manipulated with particular Generative Models (GMs) and genuine/real images, yet generalize…
Face Relighting with Geometrically Consistent Shadows
Andrew Hou, Michel Sarkis, Ning Bi +2
Most face relighting methods are able to handle diffuse shadows, but struggle to handle hard shadows, such as those cast by the nose. Methods that propose techniques for handling h…
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image
Feng Liu, Xiaoming Liu
Inferring 3D locations and shapes of multiple objects from a single 2D image is a long-standing objective of computer vision. Most of the existing works either predict one of these…
MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation
Safa C. Medin, Bernhard Egger, Anoop Cherian +4
Recent advances in generative adversarial networks (GANs) have led to remarkable achievements in face image synthesis. While methods that use style-based GANs can generate striking…
DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers +2
Robotic apple harvesting has received much research attention in the past few years due to growing shortage and rising cost in labor. One key enabling technology towards automated…
Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models
Xin He, Shihao Wang, Shaohuai Shi +10
Skin disease is one of the most common types of human diseases, which may happen to everyone regardless of age, gender or race. Due to the high visual diversity, human diagnosis hi…