71 citations · 208 across the 16 of their papers we have counts for
15 papers · 1 filter
Shape of You: Precise 3D shape estimations for diverse body types
Rohan Sarkar, Achal Dave, Gerard Medioni +1
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems. While existing methods hav…
Minutiae-Guided Fingerprint Embeddings via Vision Transformers
Steven A. Grosz, Joshua J. Engelsma, Rajeev Ranjan +4
Minutiae matching has long dominated the field of fingerprint recognition. However, deep networks can be used to extract fixed-length embeddings from fingerprints. To date, the few…
ExpNet: Landmark-Free, Deep, 3D Facial Expressions
Feng-Ju Chang, Anh Tuan Tran, Tal Hassner +3
We describe a deep learning based method for estimating 3D facial expression coefficients. Unlike previous work, our process does not relay on facial landmark detection methods as…
Extreme 3D Face Reconstruction: Seeing Through Occlusions
Anh Tuan Tran, Tal Hassner, Iacopo Masi +3
Existing single view, 3D face reconstruction methods can produce beautifully detailed 3D results, but typically only for near frontal, unobstructed viewpoints. We describe a system…
FacePoseNet: Making a Case for Landmark-Free Face Alignment
Fengju Chang, Anh Tuan Tran, Tal Hassner +3
We show how a simple convolutional neural network (CNN) can be trained to accurately and robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities.…
On Face Segmentation, Face Swapping, and Face Perception
Yuval Nirkin, Iacopo Masi, Anh Tuan Tran +2
We show that even when face images are unconstrained and arbitrarily paired, face swapping between them is actually quite simple. To this end, we make the following contributions.…
Deep 3D Face Identification
Donghyun Kim, Matthias Hernandez, Jongmoo Choi +1
We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique. The performance of 2D face recognition algorithms…
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Anh Tuan Tran, Tal Hassner, Iacopo Masi +1
The 3D shapes of faces are well known to be discriminative. Yet despite this, they are rarely used for face recognition and always under controlled viewing conditions. We claim tha…
Pooling Faces: Template based Face Recognition with Pooled Face Images
Tal Hassner, Iacopo Masi, Jungyeon Kim +4
We propose a novel approach to template based face recognition. Our dual goal is to both increase recognition accuracy and reduce the computational and storage costs of template ma…
Capturing Dynamic Textured Surfaces of Moving Targets
Ruizhe Wang, Lingyu Wei, Etienne Vouga +4
We present an end-to-end system for reconstructing complete watertight and textured models of moving subjects such as clothed humans and animals, using only three or four handheld…
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
Iacopo Masi, Anh Tuan Tran, Jatuporn Toy Leksut +2
Face recognition capabilities have recently made extraordinary leaps. Though this progress is at least partially due to ballooning training set sizes -- huge numbers of face images…
Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance
Bor-Jeng Chen, Gerard Medioni
Tracking many vehicles in wide coverage aerial imagery is crucial for understanding events in a large field of view. Most approaches aim to associate detections from frame differen…
Face Recognition Using Deep Multi-Pose Representations
Wael AbdAlmageed, Yue Wua, Stephen Rawlsa +9
We introduce our method and system for face recognition using multiple pose-aware deep learning models. In our representation, a face image is processed by several pose-specific de…
Facial Landmark Detection with Tweaked Convolutional Neural Networks
Yue Wu, Tal Hassner, KangGeon Kim +2
We present a novel convolutional neural network (CNN) design for facial landmark coordinate regression. We examine the intermediate features of a standard CNN trained for landmark…
The Multi-Strand Graph for a PTZ Tracker
Shachaf Melman, Yael Moses, Gérard Medioni +1
High-resolution images can be used to resolve matching ambiguities between trajectory fragments (tracklets), which is one of the main challenges in multiple target tracking. A PTZ…