Yaser Ajmal Sheikh
Postdoctoral Fellow

Robotics Institute
Office: NSH 4217

Email address: myfirstname [at] cs.cmu.edu
Phone: (412) 268-3818
Website:
http://www.cs.cmu.edu/~yaser
 

 Publications   |   Photos

 

JOURNALS

1. Bayesian Modeling of Dynamic Scenes for Object Detection,
Yaser Sheikh and Mubarak Shah,
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005.
[
pdf]

2. On the Use of Computable Features for Film Classification,
Zeeshan Rasheed, Yaser Sheikh and Mubarak Shah,
IEEE Transactions on Circuit and System for Video Technology
, 2005.
[
pdf]

3. Object Association Across Multiple Airborne Cameras,
Yaser Sheikh and Mubarak Shah,
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2008.

BOOK CHAPTERS

4. Geodetic Alignment of Aerial Video Frames,
Yaser Sheikh, Sohaib Khan, Mubarak Shah and Richard Cannata,
In Video Registration, Video Computing Series, 2003. [
pdf]

5. Feature-based Georegistration of Aerial Images,
Yaser Sheikh, Sohaib Khan, and Mubarak Shah,
In Geosensor Networks, 2004.
[pdf]

CONFERENCES

6. Linear Motion Estimation for Systems of Articulated Planes,
Ankur Datta, Yaser Sheikh, and Takeo Kanade,
IEEE International Conference on Computer Vision and Pattern Recognition, 2008. [
pdf]

7
. Mode-seeking by Medoidshifts, (oral)
Yaser Sheikh, Erum Khan, and Takeo Kanade,
IEEE International Conference on Computer Vision, 2007. [
pdf]

8. On the Spacetime Geometry of Galilean Cameras,
Yaser Sheikh, Alexei Gritai, and Mubarak Shah,
IEEE International Conference on Computer Vision and Pattern Recognition, 2007.
[
pdf]

9. Trajectory Association across Non-overlapping Moving Cameras in Planar Scenes,
Yaser Sheikh, Xin Li, and Mubarak Shah,
IEEE International Conference on Computer Vision and Pattern Recognition, 2007.

10. On the Direct Estimation of the Fundamental Matrix,
Yaser Sheikh, Asaad Hakeem, and Mubarak Shah,
IEEE International Conference on Computer Vision and Pattern Recognition, 2007.

11.  Model Generation for Video-based Object Recognition,

Humera Noor, Shahid Hafeez Mirza, Yaser Sheikh, Amit Jain, and Mubarak Shah,
ACM International Conference on Multimedia, 2006.

12.
 Shape from Dynamic Textures for Planes,
Yaser Sheikh, Niels Haering, and Mubarak Shah,
IEEE International Conference on Computer Vision and Pattern Recognition, 2006. [
pdf]

13.  Object Tracking Across Multiple Independently Moving Airborne Cameras,
Yaser Sheikh and Mubarak Shah,
IEEE International Conference on Computer Vision, 2005. [
pdf]

14. Exploring the Space of an Action,
Yaser Sheikh, Mumtaz Sheikh, and Mubarak Shah,
IEEE International Conference on Computer Vision, 2005. [
pdf]

15. Bayesian Object Detection in Dynamic Scenes, (oral)
Yaser Sheikh and Mubarak Shah,
IEEE International Conference on Computer Vision and Pattern Recognition, 2005. [
pdf]

16. On the use of Anthropometry in the Invariant Analysis of Human Actions, (oral)
Alexei Gritai, Yaser Sheikh, and Mubarak Shah,
IAPR International Conference on Pattern Recognition, 2004. [
pdf]

17. CASEE: A Hierarchical Event Representation for the Analysis of Videos, (oral)
Asaad Hakeem, Yaser Sheikh, and Mubarak Shah,
American Association for Artificial Intelligence
, 2004. [
pdf]

18. Aligning Dissimilar Images Directly, (oral)
Yaser Sheikh and Mubarak Shah,
Asian Conference on Computer Vision, 2004. [
pdf]

19. Accumulative Alignment of an Image Stream,
Yaser Sheikh, Yun Zhai, and Mubarak Shah,
Asian Conference on Computer Vision, 2004. [
pdf]

WORKSHOPS

20. Establishing a Common View from Multiple Moving Aerial Sensors
,
Yaser Sheikh, Alexei Gritai, Imran Junejo, Robert Muise, Abhijit Mahalanobis, and Mubarak Shah,
SPIE Symposium on Defense and Security
, 2005. [
pdf]

21. Visual Monitoring of Railroad Grade Crossing,
Yaser Sheikh, Khurram Shafique, Yun Zhai, and Mubarak Shah,
SPIE Symposium on Defense and Security, 2004.

22. Semantic Film Preview Classification Using Low-Level Computable Features,
Zeeshan Rasheed, Yaser Sheikh, and Mubarak Shah,
Workshop on Multimedia and Document Engineering, Berlin, Germany, 2003. [
pdf]