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» Computing Visual Attention from Scene Depth
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CVPR
2012
IEEE
13 years 3 months ago
RGB-(D) scene labeling: Features and algorithms
Scene labeling research has mostly focused on outdoor scenes, leaving the harder case of indoor scenes poorly understood. Microsoft Kinect dramatically changed the landscape, show...
Xiaofeng Ren, Liefeng Bo, Dieter Fox
181
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CVPR
2011
IEEE
14 years 4 months ago
Track to the future: Spatio-temporal video segmentation with long-range motion cues
Video provides not only rich visual cues such as motion and appearance, but also much less explored long-range temporal interactions among objects. We aim to capture such interact...
José, Lezama, Karteek Alahari, Josef Sivic, Ivan ...
105
Voted
CVPR
2010
IEEE
15 years 3 months ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati
83
Voted
VL
2002
IEEE
104views Visual Languages» more  VL 2002»
15 years 5 months ago
First Steps in Programming: A Rationale for Attention Investment Models
Research into the cognitive aspects of programming originated in the study of professional programmers (whether experts or students). Even “end-user” programmers in previous s...
Alan F. Blackwell
ICMI
2010
Springer
152views Biometrics» more  ICMI 2010»
14 years 10 months ago
Vlogcast yourself: nonverbal behavior and attention in social media
We introduce vlogs as a type of rich human interaction which is multimodal in nature and suitable for new largescale behavioral data analysis. The automatic analysis of vlogs is u...
Joan-Isaac Biel, Daniel Gatica-Perez