activity
20132021
most citedDeepFake Detection Based on the Discrepancy Between the Face and its Context

28 citations · 79 across the 10 of their papers we have counts for

collaborators

22 papers

cs.LG20213 cited

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

Koby Bibas, Meir Feder, Tal Hassner

Detecting out-of-distribution (OOD) samples is vital for developing machine learning based models for critical safety systems. Common approaches for OOD detection assume access to…

cs.CV20213 cited

TextStyleBrush: Transfer of Text Aesthetics from a Single Example

Praveen Krishnan, Rama Kovvuri, Guan Pang +2

We present a novel approach for disentangling the content of a text image from all aspects of its appearance. The appearance representation we derive can then be applied to new con…

cs.CV2021

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

Amanpreet Singh, Guan Pang, Mandy Toh +3

A crucial component for the scene text based reasoning required for TextVQA and TextCaps datasets involve detecting and recognizing text present in the images using an optical char…

cs.CV2021

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

Jing Huang, Guan Pang, Rama Kovvuri +5

Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that includes both detection and recognition leads to the best results. However, many existing methods…

cs.CV2020

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

Yuval Nirkin, Lior Wolf, Tal Hassner

We present a novel, real-time, semantic segmentation network in which the encoder both encodes and generates the parameters (weights) of the decoder. Furthermore, to allow maximal…

cs.CV2020

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

Vítor Albiero, Xingyu Chen, Xi Yin +2

We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformati…