no code implementations • IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024 • Ciprian Corneanu, Raghudeep Gadde, Aleix M Martinez
Image inpainting is generally done using either a domain-specific (preconditioned) model or a generic model that is postconditioned at inference time.
no code implementations • CVPR 2023 • Qianli Feng, Raghudeep Gadde, Wentong Liao, Eduard Ramon, Aleix Martinez
We derive a method that yields highly accurate semantic segmentation maps without the use of any additional neural network, layers, manually annotated training data, or supervised training.
no code implementations • 23 Feb 2022 • Qianli Feng, Viraj Shah, Raghudeep Gadde, Pietro Perona, Aleix Martinez
To edit a real photo using Generative Adversarial Networks (GANs), we need a GAN inversion algorithm to identify the latent vector that perfectly reproduces it.
no code implementations • 25 Jan 2022 • Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona
We present a method for finding paths in a deep generative model's latent space that can maximally vary one set of image features while holding others constant.
no code implementations • ICCV 2021 • Raghudeep Gadde, Qianli Feng, Aleix M. Martinez
Generative models can synthesize photo-realistic images of a single object.
1 code implementation • ICCV 2017 • Raghudeep Gadde, Varun Jampani, Peter V. Gehler
A key insight of this work is that fast optical flow methods can be combined with many different CNN architectures for improved performance and end-to-end training.
no code implementations • CVPR 2017 • Varun Jampani, Raghudeep Gadde, Peter V. Gehler
We propose a 'Video Propagation Network' that processes video frames in an adaptive manner.
Ranked #72 on Semi-Supervised Video Object Segmentation on DAVIS 2016
no code implementations • 21 Jun 2016 • Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter V. Gehler
This paper introduces a fast and efficient segmentation technique for 2D images and 3D point clouds of building facades.
1 code implementation • 20 Nov 2015 • Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, Peter V. Gehler
We introduce a new 'bilateral inception' module that can be inserted in existing CNN architectures and performs bilateral filtering, at multiple feature-scales, between superpixels in an image.
no code implementations • CVPR 2015 • Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
We present a new shape prior formalism for segmentation of rectified facade images.