b'Tal Hassner'

research

∙ 03/29/2023

MaLP: Manipulation Localization Using a Proactive Scheme

Advancements in the generation quality of various Generative Models (GMs...

0 Vishal Asnani, et al. ∙

research

∙ 12/12/2022

You Only Need a Good Embeddings Extractor to Fix Spurious Correlations

Spurious correlations in training data often lead to robustness issues s...

0 Raghav Mehta, et al. ∙

research

∙ 12/09/2022

A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others

Machine learning models have been found to learn shortcuts – unintended ...

14 Zhiheng Li, et al. ∙

research

∙ 10/24/2022

GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction

Many online action prediction models observe complete frames to locate a...

0 Samrudhdhi B Rangrej, et al. ∙

research

∙ 10/13/2022

Task Grouping for Multilingual Text Recognition

Most existing OCR methods focus on alphanumeric characters due to the po...

0 Jing Huang, et al. ∙

research

∙ 04/12/2022

Few-shot Learning with Noisy Labels

Few-shot learning (FSL) methods typically assume clean support sets with...

0 Kevin J Liang, et al. ∙

research

∙ 03/29/2022

Proactive Image Manipulation Detection

Image manipulation detection algorithms are often trained to discriminat...

1 Vishal Asnani, et al. ∙

research

∙ 02/25/2022

FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment

We present Face Swapping GAN (FSGAN) for face swapping and reenactment. ...

0 Yuval Nirkin, et al. ∙

research

∙ 10/18/2021

Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection

Detecting out-of-distribution (OOD) samples is vital for developing mach...

0 Koby Bibas, et al. ∙

research

∙ 06/15/2021

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

We present a novel approach for disentangling the content of a text imag...

0 Praveen Krishnan, et al. ∙

research

∙ 06/15/2021

Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images

State-of-the-art (SOTA) Generative Models (GMs) can synthesize photo-rea...

7 Vishal Asnani, et al. ∙

research

∙ 05/12/2021

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

A crucial component for the scene text based reasoning required for Text...

17 Amanpreet Singh, et al. ∙

research

∙ 03/29/2021

A Multiplexed Network for End-to-End, Multilingual OCR

Recent advances in OCR have shown that an end-to-end (E2E) training pipe...

0 Jing Huang, et al. ∙

research

∙ 12/21/2020

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

We present a novel, real-time, semantic segmentation network in which th...

14 Yuval Nirkin, et al. ∙

research

∙ 12/14/2020

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

We propose real-time, six degrees of freedom (6DoF), 3D face pose estima...

5 Vitor Albiero, et al. ∙

research

∙ 08/27/2020

DeepFake Detection Based on the Discrepancy Between the Face and its Context

We propose a method for detecting face swapping and other identity manip...

0 Yuval Nirkin, et al. ∙

research

∙ 07/18/2020

Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting

Recent end-to-end trainable methods for scene text spotting, integrating...

0 Minghui Liao, et al. ∙

research

∙ 02/27/2020

LEEP: A New Measure to Evaluate Transferability of Learned Representations

We introduce a new measure to evaluate the transferability of representa...

0 Cuong V. Nguyen, et al. ∙

research

∙ 09/25/2019

Balancing Specialization, Generalization, and Compression for Detection and Tracking

We propose a method for specializing deep detectors and trackers to rest...

0 Dotan Kaufman, et al. ∙

research

∙ 08/21/2019

Transferability and Hardness of Supervised Classification Tasks

We propose a novel approach for estimating the difficulty and transferab...

0 Anh T. Tran, et al. ∙

research

∙ 08/16/2019

FSGAN: Subject Agnostic Face Swapping and Reenactment

We present Face Swapping GAN (FSGAN) for face swapping and reenactment. ...

1 Yuval Nirkin, et al. ∙

research

∙ 08/02/2019

Toward Understanding Catastrophic Forgetting in Continual Learning

We study the relationship between catastrophic forgetting and properties...

8 Cuong V. Nguyen, et al. ∙

research

∙ 05/01/2019

Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation

The field of self-supervised monocular depth estimation has seen huge ad...

8 Matan Goldman, et al. ∙

research

∙ 04/01/2019

Precise Detection in Densely Packed Scenes

Man-made scenes can be densely packed, containing numerous objects, ofte...

32 Eran Goldman, et al. ∙

research

∙ 02/02/2018

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

We describe a deep learning based method for estimating 3D facial expres...

0 Feng-Ju Chang, et al. ∙

research

∙ 12/14/2017

Extreme 3D Face Reconstruction: Looking Past Occlusions

Existing single view, 3D face reconstruction methods can produce beautif...

0 Anh Tuan Tran, et al. ∙

research

∙ 08/24/2017

FacePoseNet: Making a Case for Landmark-Free Face Alignment

We show how a simple convolutional neural network (CNN) can be trained t...

0 Fengju Chang, et al. ∙

research

∙ 12/21/2016

Temporal Tessellation: A Unified Approach for Video Analysis

We present a general approach to video understanding, inspired by semant...

0 Dotan Kaufman, et al. ∙

research

∙ 12/15/2016

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

The 3D shapes of faces are well known to be discriminative. Yet despite ...

0 Anh Tuan Tran, et al. ∙

research

∙ 09/13/2016

The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better

Accuracy, descriptor size, and the time required for extraction and matc...

0 Christopher Parker, et al. ∙

research

∙ 07/06/2016

Pooling Faces: Template based Face Recognition with Pooled Face Images

We propose a novel approach to template based face recognition. Our dual...

0 Tal Hassner, et al. ∙

research

∙ 03/23/2016

Face Recognition Using Deep Multi-Pose Representations

We introduce our method and system for face recognition using multiple p...

0 Wael AbdAlmageed, et al. ∙

research

∙ 03/23/2016

Do We Really Need to Collect Millions of Faces for Effective Face Recognition?

Face recognition capabilities have recently made extraordinary leaps. Th...

0 Iacopo Masi, et al. ∙

research

∙ 11/12/2015

Facial Landmark Detection with Tweaked Convolutional Neural Networks

We present a novel convolutional neural network (CNN) design for facial ...

0 Yue Wu, et al. ∙

research

∙ 10/05/2015

GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection

The 2D Least Median of Squares (LMS) is a popular tool in robust regress...

0 Gil Shapira, et al. ∙

research

∙ 06/10/2015

Wide baseline stereo matching with convex bounded-distortion constraints

Finding correspondences in wide baseline setups is a challenging problem...

0 Meirav Galun, et al. ∙

research

∙ 01/15/2015

LATCH: Learned Arrangements of Three Patch Codes

We present a novel means of describing local image appearances using bin...

0 Gil Levi, et al. ∙

research

∙ 11/28/2014

Effective Face Frontalization in Unconstrained Images

"Frontalization" is the process of synthesizing frontal facing views of ...

1 Tal Hassner, et al. ∙

research

∙ 06/24/2014

Dense Correspondences Across Scenes and Scales

We seek a practical method for establishing dense correspondences betwee...

0 Moria Tau, et al. ∙

research

∙ 04/14/2013

Single View Depth Estimation from Examples

We describe a non-parametric, "example-based" method for estimating the ...

0 Tal Hassner, et al. ∙

Tal Hassner

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