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Results: 18808

#	Item
351	FACE AS A MULTIMEDIA OBJECT Steve DiPaola , Ali Arya School of Interactive Arts and Technology, Simon Fraser University, 2400 Central City, 10153 King George Highway, Surrey, BC, Canada V3T2W1 E-mail: {sdipaola, aarya}@s Add to Reading List Source URL: ivizlab.sfu.ca - Date: 2009-05-12 20:03:12
352	Query Adaptive Instance Search using Object Sketches Sreyasee Das Bhattacharjee1 , Junsong Yuan1 , Weixiang Hong1 , Xiang Ruan2 1 School of Electrical and Electronics Engineering, Nanyang Technological University, Singap Add to Reading List Source URL: eeeweba.ntu.edu.sg - Date: 2016-07-22 02:30:56
353	WANG et al.: LEARNING OBJECT RECOGNITION FROM DESCRIPTIONS 1 Learning Models for Object Recognition from Natural Language Descriptions Add to Reading List Source URL: www.josiahwang.com - Date: 2009-08-13 16:37:59
354	HARF: Hierarchy-associated Rich Features for Salient Object Detection Wenbin Zou Shenzhen Key Lab of Advanced Telecommunication and Information Processing College of Information Engineering, Shenzhen University zouszu@si Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:00:28
355	A Easy, Fast and Energy Efficient Object Detection on Heterogeneous On-Chip Architectures1 Ehsan Totoni, University of Illinois at Urbana-Champaign Mert Dikmen, University of Illinois at Urbana-Champaign ´ , University Add to Reading List Source URL: charm.cs.illinois.edu
356	Efficient Object Localization Using Convolutional Networks Jonathan Tompson, Ross Goroshin, Arjun Jain, Yann LeCun, Christoph Bregler New York University tompson/goroshin/ajain/lecun/ Figure 1: Our M Add to Reading List Source URL: www.cims.nyu.edu - Date: 2015-06-09 08:29:40
357	DD2456 ADVANCED OBJECT-ORIENTED SYSTEMS AVOO10 TAKE-HOME EXAM (HEMTENTA) NOTES: (Please read carefully!) Add to Reading List Source URL: www.nada.kth.se - Date: 2010-03-09 05:44:22
358	High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision Gedas Bertasius University of Pennsylvania Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:01:50
359	Affordance Prediction via Learned Object Attributes Tucker Hermans James M. Rehg Abstract— We present a novel method for learning and Add to Reading List Source URL: www.ias.tu-darmstadt.de - Date: 2014-04-03 12:42:53
360	Object Modeling with JML Object Modeling JML Add to Reading List Source URL: www.nada.kth.se - Date: 2010-02-25 08:59:32

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