no code implementations • 26 Oct 2019 • Prashnna K Gyawali, Rudra Shah, Linwei Wang, VSR Veeravasarapu, Maneesh Singh
Variational Autoencoders (VAE) are probabilistic deep generative models underpinned by elegant theory, stable training processes, and meaningful manifold representations.
no code implementations • 23 May 2020 • VSR Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Singh
Contour shape alignment is a fundamental but challenging problem in computer vision, especially when the observations are partial, noisy, and largely misaligned.
no code implementations • CVPR 2020 • VSR Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Singh
Contour shape alignment is a fundamental but challenging problem in computer vision, especially when the observations are partial, noisy, and largely misaligned.
no code implementations • 25 Sep 2019 • VSR Veeravasarapu, Deepak Mittal, Abhishek Goel, Maneesh Singh
In this work, we devise a curriculum-learning-based training process for object boundary detection.