Search Results for author: Gerard Medioni

Found 23 papers, 7 papers with code

Synthetic Data for Model Selection

no code implementations3 May 2021 Matan Fintz, Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Gerard Medioni

Recent improvements in synthetic data generation make it possible to produce images that are highly photorealistic and indistinguishable from real ones.

Image Classification Model Selection +1

AOWS: Adaptive and optimal network width search with latency constraints

1 code implementation CVPR 2020 Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Gerard Medioni

We introduce a novel efficient one-shot NAS approach to optimally search for channel numbers, given latency constraints on a specific hardware.

Neural Architecture Search

MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention

no code implementations18 Feb 2020 Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gerard Medioni

We embed the attention module in a ``slow-fast'' architecture, where the slower network runs on sparsely sampled keyframes and the light-weight shallow network runs on non-keyframes at a high frame rate.

Multi-Task Learning

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

1 code implementation2 Feb 2018 Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni

Our ExpNet CNN is applied directly to the intensities of a face image and regresses a 29D vector of 3D expression coefficients.

 Ranked #1 on 3D Facial Expression Recognition on 2017_test set (using extra training data)

3D Facial Expression Recognition Emotion Recognition +1

Extreme 3D Face Reconstruction: Seeing Through Occlusions

1 code implementation CVPR 2018 Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gerard Medioni

Motivated by the concept of bump mapping, we propose a layered approach which decouples estimation of a global shape from its mid-level details (e. g., wrinkles).

3D Face Reconstruction

FacePoseNet: Making a Case for Landmark-Free Face Alignment

3 code implementations24 Aug 2017 Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gerard Medioni

Instead, we compare our FPN with existing methods by evaluating how they affect face recognition accuracy on the IJB-A and IJB-B benchmarks: using the same recognition pipeline, but varying the face alignment method.

 Ranked #1 on Facial Landmark Detection on 300W (Mean Error Rate metric)

3D Face Alignment Face Alignment +4

On Face Segmentation, Face Swapping, and Face Perception

1 code implementation22 Apr 2017 Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gerard Medioni

To this end, we use the Labeled Faces in the Wild (LFW) benchmark and measure the effect of intra- and inter-subject face swapping on recognition.

Face Swapping

Deep 3D Face Identification

no code implementations30 Mar 2017 Donghyun Kim, Matthias Hernandez, Jongmoo Choi, Gerard Medioni

We also propose a 3D face augmentation technique which synthesizes a number of different facial expressions from a single 3D face scan.

Face Identification Face Recognition +1

Graph-Based Manifold Frequency Analysis for Denoising

no code implementations29 Nov 2016 Shay Deutsch, Antonio Ortega, Gerard Medioni

We propose a new framework for manifold denoising based on processing in the graph Fourier frequency domain, derived from the spectral decomposition of the discrete graph Laplacian.

Denoising

Pose-Aware Face Recognition in the Wild

no code implementations CVPR 2016 Iacopo Masi, Stephen Rawls, Gerard Medioni, Prem Natarajan

We propose a method to push the frontiers of unconstrained face recognition in the wild, focusing on the problem of extreme pose variations.

Face Recognition

Capturing Dynamic Textured Surfaces of Moving Targets

no code implementations11 Apr 2016 Ruizhe Wang, Lingyu Wei, Etienne Vouga, Qi-Xing Huang, Duygu Ceylan, Gerard Medioni, Hao Li

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 sensors.

Exploring Local Context for Multi-target Tracking in Wide Area Aerial Surveillance

no code implementations28 Mar 2016 Bor-Jeng Chen, Gerard Medioni

Tracking many vehicles in wide coverage aerial imagery is crucial for understanding events in a large field of view.

Face Recognition Using Deep Multi-Pose Representations

no code implementations23 Mar 2016 Wael Abd-Almageed, Yue Wua, Stephen Rawlsa, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Toy Leksut, Jungyeon Kim, Prem Natarajan, Ram Nevatia, Gerard Medioni

In our representation, a face image is processed by several pose-specific deep convolutional neural network (CNN) models to generate multiple pose-specific features.

Face Recognition Face Verification +1

A Closed-Form Solution to Tensor Voting: Theory and Applications

no code implementations19 Jan 2016 Tai-Pang Wu, Sai-Kit Yeung, Jiaya Jia, Chi-Keung Tang, Gerard Medioni

We prove a closed-form solution to tensor voting (CFTV): given a point set in any dimensions, our closed-form solution provides an exact, continuous and efficient algorithm for computing a structure-aware tensor that simultaneously achieves salient structure detection and outlier attenuation.

Stereo Matching Stereo Matching Hand

Persistent Tracking for Wide Area Aerial Surveillance

no code implementations CVPR 2014 Jan Prokaj, Gerard Medioni

Persistent surveillance of large geographic areas from unmanned aerial vehicles allows us to learn much about the daily activities in the region of interest.

Object Detection

3D Modeling from Wide Baseline Range Scans using Contour Coherence

no code implementations CVPR 2014 Ruizhe Wang, Jongmoo Choi, Gerard Medioni

We propose here a novel approach which leverages contour coherence and allows us to align two wide baseline range scans with limited overlap from a poor initialization.

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