@sophiazhang1818@eric_brachmann Hi Sophia, there is no longer video/presentation, but you can find the poster here: https://t.co/d9scBYfCzT
Also feel free to reach out to me if you have further questions!
RGB image in, set of 3D primitives out. A #CVPR2021 paper with @florian_kluger, H. Ackermann, M. Yang and B. Rosenhahn! #ComputerVision
abs: https://t.co/mVoz8VGtc4
code: https://t.co/Vhi7PixIbm
We take RANSAC out of its comfort zone into scene understanding territory. ๐
CONSAC (Conditional Sample Consensus). Yes, we absolutely needed another RANSAC variant. Read the paper to learn why. Presented by @florian_kluger on Tuesday 1600โ1800 and 0400โ0600 PST.
Video: https://t.co/hQZRayo8nW
Paper: https://t.co/L3lGDmAvP0
Code: https://t.co/bccVpf4co6
2 works at #CVPR2020. I cannot attend myself (I only do conferences for the culinary surprises and comfort of the economy class). The first authors anyway do a better job at explaining our work.
Meet @AritraBhowmik6 for Reinforced Feature Points
and @florian_kluger for CONSAC!
Learn how we taught #NeuralNetworks to find multiple instances of a parametric model in your outlier-infested data, eg multiple homographies in image correspondences or multiple vanishing points in a soup of line segments. #CVPR2020
If you liked NG-RANSAC, you will <3 CONSAC.