Publications related to Crowding reveals fundamental differences in local vs. global processing in humans and machines

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Quasi-continuous unconscious processing precedes discrete conscious perception

Michael Herzog, Adrien Christophe Doerig

Perception seems to be a continuous stream and, for this reason, we often implicitly assume that perception is continuous. In fact, many models of vision rely explicitly and implicitly on continuous perception. However, continuous perception is challenged ...

2017

Modern techniques and applications for real-time non-rigid registration

Mark Pauly, Hao Li, Sofien Bouaziz, Andrea Tagliasacchi

Registration algorithms are an essential component of many computer graphics and computer vision systems. With recent technological advances in RGBD sensors (color plus depth), an active area of research is in techniques combining color, geometry, and lear ...

2016

Patient MoCap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications

Alexandru Eugen Ichim, Huseyin Coskun

Motion analysis is typically used for a range of diagnostic procedures in the hospital. While automatic pose estimation from RGB-D input has entered the hospital in the domain of rehabilitation medicine and gait analysis, no such method is available for be ...

2016

A MultiPath Network for Object Detection

Pedro Henrique Oliveira Pinheiro

The recent COCO object detection dataset presents several new challenges for object detection. In particular, it contains objects at a broad range of scales, less prototypical images, and requires more precise localization. To address these challenges, we ...

BMVA Press2016

Phrase-based Image Captioning

Rémi Philippe Lebret, Ronan Collobert, Pedro Henrique Oliveira Pinheiro

Generating a novel textual description of an image is an interesting problem that connects computer vision and natural language processing. In this paper, we present a simple model that is able to generate descriptive sentences given a sample image. This m ...

2015

Phrase-based Image Captioning

Rémi Philippe Lebret, Ronan Collobert, Pedro Henrique Oliveira Pinheiro

JMLR2015

Recurrent Convolutional Neural Networks for Scene Labeling

Ronan Collobert, Pedro Henrique Oliveira Pinheiro

The goal of the scene labeling task is to assign a class label to each pixel in an image. To ensure a good visual coherence and a high class accu- racy, it is essential for a model to capture long range (pixel) label dependencies in images. In a feed-forwa ...

2014

Invisibility and interpretation

Michael Herzog

Invisibility is often thought to occur because of the low-level limitations of the visual system. For example, it is often assumed that backward masking renders a target invisible because the visual system is simply too slow to resolve the target and the m ...

Frontiers Research Foundation2014

Crowding reveals fundamental differences in local vs. global processing in humans and machines

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Graph-based Isometry Invariant Representation Learning

Quasi-continuous unconscious processing precedes discrete conscious perception

Modern techniques and applications for real-time non-rigid registration

Robust image classification

Patient MoCap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications

A MultiPath Network for Object Detection

Phrase-based Image Captioning

Phrase-based Image Captioning

Recurrent Convolutional Neural Networks for Scene Labeling

Invisibility and interpretation

Graph-based Isometry Invariant Representation Learning

Modern techniques and applications for real-time non-rigid registration

A MultiPath Network for Object Detection

Quasi-continuous unconscious processing precedes discrete conscious perception

Phrase-based Image Captioning

Recurrent Convolutional Neural Networks for Scene Labeling

Patient MoCap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications

Invisibility and interpretation

Phrase-based Image Captioning

Robust image classification