Object recognition

Results: 1078



#Item
511Memory segmentation / Market segmentation / Minimum bounding box / Feature extraction / Dimension / Geometry / Mathematics / Image processing / Computer vision / Segmentation

Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem

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Source URL: www.eecs.berkeley.edu

Language: English - Date: 2014-06-04 23:24:54
512Statistics / Vision / Object recognition / Histogram of oriented gradients / Transparency and translucency / Latent Dirichlet allocation / Probabilistic latent semantic analysis / Transparency / Topic model / Statistical natural language processing / Artificial intelligence / Computer vision

An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz UC Berkeley Gary Bradski Willow Garage

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Source URL: sergeykarayev.com

Language: English - Date: 2015-01-07 04:16:21
513Imaging / Histogram of oriented gradients / Kinect / Object recognition / Caltech 101 / Computer vision / Artificial intelligence / Vision

A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2012-07-28 19:03:14
514Artificial intelligence / Optics / Segmentation / Shape context / Object recognition / K-nearest neighbor algorithm / Typeface / Feature / Computer vision / Image processing / Vision

Large-Scale Visual Font Recognition Guang Chen∗ Jianchao Yang† Hailin Jin† Jonathan Brandt† Eli Shechtman† Aseem Agarwala† Tony X. Han∗ † ∗ Adobe Research

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Source URL: www.ifp.illinois.edu

Language: English - Date: 2014-04-26 18:56:39
515European 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
516Statistics / Binary trees / Object recognition / Pattern recognition / Tree / Statistical classification / Feature selection / Phylogenetic tree / T-tree / Machine learning / Artificial intelligence / Computer vision

1300 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 11, NOVEMBER 1997 Joint Induction of Shape Features and Tree Classifiers

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2004-02-15 19:43:01
517Object 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
518Imaging / 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
519Computer vision / One-shot learning / Attribute / Object recognition / LabelMe / Caltech 101 / Vision / Imaging / Artificial intelligence

Understanding Objects in Detail with Fine-grained Attributes Andrea Vedaldi1 Siddharth Mahendran2 Ross Girshick5 Juho Kannala6 3

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-04-28 08:27:30
520Network architecture / Networks / Neural network / Geographic information system / Object recognition / Artificial intelligence / Science / Statistics / Caltech 101 / Computer vision / Computational neuroscience / Econometrics

PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang1,2 , Manohar Paluri1 , Marc’Aurelio Ranzato1 , Trevor Darrell2 , Lubomir Bourdev1 1 2 Facebook AI Research EECS, UC Berkeley

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Source URL: arxiv.org

Language: English - Date: 2014-05-06 21:22:49
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