Publications de Karim Ali | EPFL Graph Search

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Learning Context Cues for Synapse Segmentation

Pascal Fua, Graham Knott, Carlos Joaquin Becker, Karim Ali

We present a new approach for the automated segmentation of synapses in image stacks acquired by Electron Microscopy (EM) that relies on image features specifically designed to take spatial context into account. These features are used to train a classifie ...

Institute of Electrical and Electronics Engineers2013

A Real-Time Deformable Detector

Pascal Fua, François Fleuret, Karim Ali, David Hasler

We propose a new learning strategy for object detection. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform base ...

Institute of Electrical and Electronics Engineers2012

Learning Context Cues for Synapse Segmentation in EM Volumes

Pascal Fua, Graham Knott, Carlos Joaquin Becker, Karim Ali

We present a new approach for the automated segmentation of excitatory synapses in image stacks acquired by electron microscopy. We rely on a large set of image features specifically designed to take spatial context into account and train a classifier that ...

2012

Data-Driven Visual Tracking in Retinal Microsurgery

Pascal Fua, Raphael Sznitman, Karim Ali

In the context of retinal microsurgery, visual tracking of instruments is a key component of robotics assistance. The difficulty of the task and major reason why most existing strategies fail on {\it in-vivo} image sequences lies in the fact that complex a ...

2012

FlowBoost - Appearance Learning from Sparsely Annotated Video

François Fleuret, Karim Ali, David Hasler

We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists in iteratively improving an appearance based model built with a Boosting pro ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Joint Pose Estimator and Feature Learning for Object Detection

Pascal Fua, François Fleuret, Karim Ali, David Hasler

A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, and instead learns a single classifier that has the inherent ability to deform ba ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Training for Task Specific Keypoint Detection

Pascal Fua, Christoph Strecha, Albrecht Johannes Lindner, Karim Ali

In this paper, we show that a better performance can be achieved by training a keypoint detector to only find those points that are suitable to the needs of the given task. We demonstrate our approach in an urban environment, where the keypoint detector sh ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2009

Karim Ali

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Learning Context Cues for Synapse Segmentation

Learning to Detect Objects with Minimal Supervision

A Real-Time Deformable Detector

Learning Context Cues for Synapse Segmentation in EM Volumes

Data-Driven Visual Tracking in Retinal Microsurgery

FlowBoost - Appearance Learning from Sparsely Annotated Video

Joint Pose Estimator and Feature Learning for Object Detection

Training for Task Specific Keypoint Detection

Training for Task Specific Keypoint Detection

Learning Context Cues for Synapse Segmentation

Joint Pose Estimator and Feature Learning for Object Detection

Learning Context Cues for Synapse Segmentation in EM Volumes

A Real-Time Deformable Detector

FlowBoost - Appearance Learning from Sparsely Annotated Video

Data-Driven Visual Tracking in Retinal Microsurgery

Learning to Detect Objects with Minimal Supervision