Object detection

Results: 550



#Item
321Science / Mathematical optimization / Search algorithms / Heuristic function / Operations research / Heuristic / Part-based models / A* search algorithm / Admissible heuristic / Heuristics / Artificial intelligence / Mathematics

Object Detection with Heuristic Coarse-to-Fine Search Ross Girshick May 29, 2009 Abstract

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2013-05-01 18:04:37
322Imaging / Geometric hashing / Video copy detection / Triangle / Information retrieval / Feature / Object recognition / Recall / Encoding / Computer vision / Vision / Artificial intelligence

Technical Report[removed], University of Augsburg, Institute of Computer Science, March[removed]Published in Proceedings of “ACM International Conference on Multimedia Retrieval”, 2011. DOI : [removed][removed]Mul

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Source URL: www.multimedia-computing.de

Language: English - Date: 2013-08-21 09:20:02
323Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-20 21:10:40
324Computer vision / Image processing / Segmentation / Object recognition / Constellation model / Visual cortex / Face detection / Symmetry / Object database / Vision / Artificial intelligence / Imaging

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29, NO. 3, MARCH 2007

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Source URL: cbcl.mit.edu

Language: English - Date: 2007-02-07 13:06:08
325Interpretation / NIP / Philosophy / Linguistics / Model theory / Logic / Constructible universe

Object Detection with Grammar Models Ross B. Girshick Dept. of Computer Science University of Chicago Chicago, IL 60637

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2013-05-01 18:04:34
326European Conference on Computer Vision / Jitendra Malik / David McAllester / Object detection / International Conference on Computer Vision / Conference on Computer Vision and Pattern Recognition / Segmentation / Longuet-Higgins Prize / Computer vision / Image processing / David Forsyth

ROSS B. GIRSHICK [removed] Postdoctoral Fellow Department of Electrical Engineering and Computer Science

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-08-13 12:47:13
327Object recognition / K-nearest neighbor algorithm / Face detection / Pose / Optical flow / Scale-invariant feature transform / Computer vision / Artificial intelligence / Vision

Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell University of California – Berkeley

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-11-18 21:10:51
328Imaging / Surveillance / Histogram of oriented gradients / LIDAR / Pedestrian detection / Object detection / Stereoscopy / Object recognition / Image processing / Computer vision / Vision / Optics

Pedestrian Detection Combining RGB and Dense LIDAR Data Cristiano Premebida, Jo˜ao Carreira, Jorge Batista and Urbano Nunes Abstract— Why is pedestrian detection still very challenging in realistic scenes? How much wo

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-30 01:38:34
329Image processing / Optics / Segmentation / Face detection / Pedestrian detection / Dutch East India Company / CNN / Volatile organic compound / Feature extraction / Vision / Computer vision / Imaging

Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley {rbg,jdonahue,trevor,malik}@eecs.berkeley.edu Abstract

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-05-10 14:50:49
330Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2006-02-01 17:05:02
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