| 2008 |
|---|
| 7 | EE | Liran Goshen,
Ilan Shimshoni:
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
IEEE Trans. Pattern Anal. Mach. Intell. 30(7): 1230-1242 (2008) |
| 6 | EE | Liran Goshen,
Ilan Shimshoni:
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
International Journal of Computer Vision 80(2): 275-288 (2008) |
| 2006 |
|---|
| 5 | EE | Liran Goshen,
Ilan Shimshoni:
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation.
ECCV (2) 2006: 151-164 |
| 2005 |
|---|
| 4 | EE | Liran Goshen,
Ilan Shimshoni:
Guided Sampling via Weak Motion Models and Outlier Sample Generation for Epipolar Geometry Estimation.
CVPR (1) 2005: 1105-1112 |
| 3 | EE | Liran Goshen,
Ilan Shimshoni,
P. Anandan,
Daniel Keren:
Motion Recovery by Integrating over the Joint Image Manifold.
International Journal of Computer Vision 65(3): 131-145 (2005) |
| 2003 |
|---|
| 2 | EE | Liran Goshen,
Ilan Shimshoni,
P. Anandan,
Daniel Keren:
Recovery of Epipolar Geometry as a Manifold Fitting Problem.
ICCV 2003: 1321-1328 |
| 2002 |
|---|
| 1 | EE | Daniel Keren,
Ilan Shimshoni,
Liran Goshen,
Michael Werman:
All Points Considered: A Maximum Likelihood Method for Motion Recovery.
Theoretical Foundations of Computer Vision 2002: 72-85 |
