Search Results for author: VSR Veeravasarapu

Found 4 papers, 0 papers with code

Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models

no code implementations26 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.

ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours

no code implementations23 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.

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours

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.

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