KARIMALI.ORG

Karim Ali - Home Page

Phone: ( 1) 514 574 2686. E-mail: karim.ali=[at]=algocian.com. I am currently CEO at Algocian, a Computer Vision startup focusing on Automotive and Security applications. Prior to that, I was a Postdoctoral Fellow at the University of California, Berkeley and the University of Massachussets, Lowell, as well as a Visiting Scholar at Harvard Univeristy. My interests lie in the application of statistical machine learning to vision problems. Learning Context Cues for Synapse Segmentation. Learning Context Cu...

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Karim Ali

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Mon●●●eal , Quebec, H3G1B9

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Karim Ali

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Karim Ali

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Karim Ali - Home Page | karimali.org Reviews

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Phone: ( 1) 514 574 2686. E-mail: karim.ali=[at]=algocian.com. I am currently CEO at Algocian, a Computer Vision startup focusing on Automotive and Security applications. Prior to that, I was a Postdoctoral Fellow at the University of California, Berkeley and the University of Massachussets, Lowell, as well as a Visiting Scholar at Harvard Univeristy. My interests lie in the application of statistical machine learning to vision problems. Learning Context Cues for Synapse Segmentation. Learning Context Cu...

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3 research

4 flowboost

5 publications

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Karim Ali - Home Page | karimali.org Reviews

https://karimali.org

Phone: ( 1) 514 574 2686. E-mail: karim.ali=[at]=algocian.com. I am currently CEO at Algocian, a Computer Vision startup focusing on Automotive and Security applications. Prior to that, I was a Postdoctoral Fellow at the University of California, Berkeley and the University of Massachussets, Lowell, as well as a Visiting Scholar at Harvard Univeristy. My interests lie in the application of statistical machine learning to vision problems. Learning Context Cues for Synapse Segmentation. Learning Context Cu...

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karimali.org

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Karim Ali - FlowBoost

http://www.karimali.org/flowboost.htm

Appearance Learning from Sparsely Annotated Video. Typical results obtained with our framework on time-lapse microscopy data containing migrating neurons. In this sequence, the result from FlowBoost's third iteration is shown. Grey boxes indicate the hand-labelled ground truth throughout the sequence shown for reference. Green boxes indicate the manual ground truth that is used by FlowBoost, in this case 1 in 32. Frames are used. Blue Boxes show the labels recovered by FlowBoost in remaining frames.

2

Karim Ali - Data-Driven Visual Tracking for Retinal Microsurgery

http://www.karimali.org/microsurgery.htm

Data-Driven Visual Tracking for Retinal Microsurgery. Our method operates as follows. We first use a gradient based tracker to provide an approximate estimate of the target’s new location. We then exhaustively evaluate our real-time deformable detector. Typical results obtained with our framework on Laparascopy. White cross indicates ground truth location while red cross and associated bounding box indicate our framework's predicted (tracked) location. Data-Driven Visual Tracking in Retinal Microsurgery.

3

Karim Ali - A Real-Time Deformable Detector

http://www.karimali.org/deformable.htm

A Real-Time Deformable Detector. Aerial Image (Google Earth) of Cars. Face Detection on MIT-CMU. Typical results obtained with our framework for face detection. In these images, obtained from MIT-CMU, green squares indicate a correct detection whereas red squares indicate a false alarm. A Real-Time Deformable Detector. K Ali, F. Fleuret, David Hasler and P.Fua. IEEE Transactions on Pattern Analysis and Machine Inteligence, 2012. Joint Pose Estimator and Feature Learning for Object Detection.

4

Karim Ali - Learning Context Cues for Synapse Segmentation

http://www.karimali.org/synapse.htm

Learning Context Cues for Synapse Segmentation. The resulting classifier is thus highly flexible, able to utilize context from a high variety of regions in the neighborhood of the voxel of interest. Our 3D detector is pose-indexed so that the computed features are extracted at consistent locations relative to the orientation of the synaptic cleft. An example synapse segmented using our framework. Note the two punctures which favor connectivity and signaling. Learning context cues for Synapse Segmentation.

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cvlab.epfl.ch

People | CVLAB

http://cvlab.epfl.ch/people

Jump to search field. Image Descriptors and Keypoint Detection. Tracking and Modeling People. Machine Learning for Biomedical Imaging. Introduction to Computer Vision. Selected Topics in Computer Vision. Robust Non-Linear Least-Squares and their Applications to Computer Vision. Laplacian 3D Shape Recovery. CLVM: A Constrained Latent Variable Model. Image Descriptors and Keypoint Detection. Deep Convolutional Descriptor Learning. BazAR: A vision based fast detection library. Tubular Geodesics: Fiji plugins.

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Karim Ali - Home Page

Phone: ( 1) 514 574 2686. E-mail: karim.ali=[at]=algocian.com. I am currently CEO at Algocian, a Computer Vision startup focusing on Automotive and Security applications. Prior to that, I was a Postdoctoral Fellow at the University of California, Berkeley and the University of Massachussets, Lowell, as well as a Visiting Scholar at Harvard Univeristy. My interests lie in the application of statistical machine learning to vision problems. Learning Context Cues for Synapse Segmentation. Learning Context Cu...

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