Search Results for author: Angel Villar-Corrales

Found 6 papers, 6 papers with code

Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions

1 code implementation23 Feb 2023 Angel Villar-Corrales, Ismail Wahdan, Sven Behnke

We propose a novel framework for the task of object-centric video prediction, i. e., extracting the compositional structure of a video sequence, as well as modeling objects dynamics and interactions from visual observations in order to predict the future object states, from which we can then generate subsequent video frames.

Video Prediction

MSPred: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks

1 code implementation17 Mar 2022 Angel Villar-Corrales, Ani Karapetyan, Andreas Boltres, Sven Behnke

In our experiments, we demonstrate that MSPred accurately predicts future video frames as well as high-level representations (e. g. keypoints or semantics) on bin-picking and action recognition datasets, while consistently outperforming popular approaches for future frame prediction.

 Ranked #1 on Video Prediction on KTH (LPIPS metric)

Video Prediction

Unsupervised Image Decomposition with Phase-Correlation Networks

2 code implementations7 Oct 2021 Angel Villar-Corrales, Sven Behnke

The ability to decompose scenes into their object components is a desired property for autonomous agents, allowing them to reason and act in their surroundings.

Object Discovery Unsupervised Image Decomposition +1

Deep learning architectural designs for super-resolution of noisy images

1 code implementation9 Feb 2021 Angel Villar-Corrales, Franziska Schirrmacher, Christian Riess

Recent advances in deep learning have led to significant improvements in single image super-resolution (SR) research.

Denoising Image Super-Resolution

Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning

1 code implementation10 Dec 2020 Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas Maier, Vincent Christlein

(2) To improve the already strong results further, we created a small dataset (ClassArch) consisting of ancient Greek vase paintings from the 6-5th century BCE with person and pose annotations.

Image Retrieval Pose Estimation +3

Scattering Transform Based Image Clustering using Projection onto Orthogonal Complement

1 code implementation23 Nov 2020 Angel Villar-Corrales, Veniamin I. Morgenshtern

This method is inspired by the observation that, in the scattering transform domain, the subspaces formed by the eigenvectors corresponding to the few largest eigenvalues of the data matrices of individual classes are nearly shared among different classes.

Clustering Deep Clustering +1

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