Karim Ali

Affiliations:
  • Algocian
  • University of California, Berkeley, USA (former)
  • University of Massachussets, Lowell, USA (former)
  • École Polytechnique Fédérale de Lausanne (EPFL), CVLAB, Switzerland (former)


According to our database1, Karim Ali authored at least 12 papers between 2009 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2015
What Do Deep CNNs Learn About Objects?
Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning Deep Object Detectors from 3D Models.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images.
CoRR, 2014

Confidence-Rated Multiple Instance Boosting for Object Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Learning Context Cues for Synapse Segmentation.
IEEE Trans. Medical Imaging, 2013

2012
Learning to Detect Objects with Minimal Supervision.
PhD thesis, 2012

A Real-Time Deformable Detector.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Data-Driven Visual Tracking in Retinal Microsurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Learning Context Cues for Synapse Segmentation in EM Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011
FlowBoost - Appearance learning from sparsely annotated video.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2009
Joint pose estimator and feature learning for object detection.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Training for Task Specific Keypoint Detection.
Proceedings of the Pattern Recognition, 2009


  Loading...