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» Attention can improve a simple model for object recognition
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WACV
2012
IEEE
13 years 7 months ago
Simultaneous inference of activity, pose and object
Human movements are important cues for recognizing human actions, which can be captured by explicit modeling and tracking of actor or through space-time low-level features. Howeve...
Furqan M. Khan, Vivek Kumar Singh, Ram Nevatia
TIP
2010
155views more  TIP 2010»
14 years 6 months ago
Multiframe Super-Resolution Reconstruction of Small Moving Objects
Multiframe super-resolution (SR) reconstruction of small moving objects against a cluttered background is difficult for two reasons: a small object consists completely of "mix...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
ICRA
1994
IEEE
98views Robotics» more  ICRA 1994»
15 years 4 months ago
Efficient Distance Computation Between Non-Convex Objects
This paper describes an efficient algorithm for computing the distance between non-convex objects. Objects are modeled as the union of a set of convex components. From this model ...
Sean Quinlan
HCI
2001
15 years 1 months ago
Analysis of haptic data for sign language recognition
: For the past two years we have been addressing the challenges involved in managing the data generated within immersive environments. We together with many other researchers have ...
Cyrus Shahabi, Leila Kaghazian, Soham Mehta, Amol ...
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 1 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang