10 citations · 13 across the 7 of their papers we have counts for
8 papers
ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
Jason Chui, Hector Andrade-Loarca, Daniel Cremers
Classical Bundle Adjustment (BA) is fundamentally limited by its reliance on precise metric initialization and prior camera intrinsics. While modern dense matchers offer high-fidel…
Learning Interpretable Queries for Explainable Image Classification with Information Pursuit
Stefan Kolek, Aditya Chattopadhyay, Kwan Ho Ryan Chan +3
Information Pursuit (IP) is an explainable prediction algorithm that greedily selects a sequence of interpretable queries about the data in order of information gain, updating its…
Neural Poisson Surface Reconstruction: Resolution-Agnostic Shape Reconstruction from Point Clouds
Hector Andrade-Loarca, Julius Hege, Daniel Cremers +1
We introduce Neural Poisson Surface Reconstruction (nPSR), an architecture for shape reconstruction that addresses the challenge of recovering 3D shapes from points. Traditional de…
Explaining Image Classifiers with Multiscale Directional Image Representation
Stefan Kolek, Robert Windesheim, Hector Andrade Loarca +2
Image classifiers are known to be difficult to interpret and therefore require explanation methods to understand their decisions. We present ShearletX, a novel mask explanation met…
Deep Microlocal Reconstruction for Limited-Angle Tomography
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem +1
We present a deep learning-based algorithm to jointly solve a reconstruction problem and a wavefront set extraction problem in tomographic imaging. The algorithm is based on a rece…
tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning
Héctor Andrade-Loarca, Gitta Kutyniok
The shearlet transform from applied harmonic analysis is currently the state of the art when analyzing multidimensional signals with anisotropic singularities. Its optimal sparse a…
Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
Semantic edge detection has recently gained a lot of attention as an image processing task, mainly due to its wide range of real-world applications. This is based on the fact that…
Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks
Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem +1
Microlocal analysis provides deep insight into singularity structures and is often crucial for solving inverse problems, predominately, in imaging sciences. Of particular importanc…