Radhakrishna Achanta

According to our database, Radhakrishna Achanta authored at least 28 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploiting the Signal-Leak Bias in Diffusion Models.

Martin Nicolas Everaert, Athanasios Fitsios, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Diffusion in Style.

Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text.

Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

What You See is What You Classify: Black Box Attributions.

Steven Stalder, Nathanaël Perraudin, Radhakrishna Achanta, Fernando Pérez-Cruz, Michele Volpi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Uncertainty Surrogates for Deep Learning.

Radhakrishna Achanta, Natasa Tagasovska

CoRR, 2021

2020

Image Obfuscation for Privacy-Preserving Machine Learning.

Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert

CoRR, 2020

Height and Weight Estimation from Unconstrained Images.

Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Self-Binarizing Networks.

Fayez Lahoud, Radhakrishna Achanta, Pablo Márquez-Neila, Sabine Süsstrunk

CoRR, 2019

Synchrotron X-Ray Phase Contrast Imaging and Deep Neural Networks for Cardiac Collagen Quantification in Hypertensive Rat Model.

Hector Dejea, Christine Tanner, Radhakrishna Achanta, Marco Stampanoni, Fernando Pérez-Cruz, Ender Konukoglu, Anne Bonnin

Proceedings of the Functional Imaging and Modeling of the Heart, 2019

2018

Fourier-Domain Optimization for Image Processing.

Majed El Helou, Frederike Dümbgen, Radhakrishna Achanta, Sabine Süsstrunk

CoRR, 2018

Deep Residual Network for Joint Demosaicing and Super-Resolution.

Ruofan Zhou, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the 26th Color and Imaging Conference, 2018

Scale-Adaptive Superpixels.

Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk

Proceedings of the 26th Color and Imaging Conference, 2018

Deep Feature Factorization for Concept Discovery.

Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Face recognition in real-world images.

Xavier Fontaine, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Extreme image completion.

Radhakrishna Achanta, Nikolaos Arvanitopoulos, Sabine Süsstrunk

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Single Image Reflection Suppression.

Nikolaos Arvanitopoulos, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Superpixels and Polygons Using Simple Non-iterative Clustering.

Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Uniform Information Segmentation.

Radhakrishna Achanta, Pablo Márquez-Neila, Pascal Fua, Sabine Süsstrunk

CoRR, 2016

2013

Text Recognition in Natural Images using Multiclass Hough Forests.

Gökhan Yildirim, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the VISAPP 2013, 2013

2012

Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features.

Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Graham Knott, Pascal Fua

IEEE Trans. Medical Imaging, 2012

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods.

Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, Sabine Süsstrunk

IEEE Trans. Pattern Anal. Mach. Intell., 2012

2011

Finding Objects of Interest in Images using Saliency and Superpixels.

Radhakrishna Achanta

PhD thesis, 2011

2010

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images.

Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Vincent Lepetit, Pascal Fua

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Saliency detection using maximum symmetric surround.

Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the International Conference on Image Processing, 2010

2009

Image summaries using database saliency.

Radhakrishna Achanta, Appu Shaji, Pascal Fua, Sabine Süsstrunk

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2009

Saliency detection for content-aware image resizing.

Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the International Conference on Image Processing, 2009

Frequency-tuned salient region detection.

Radhakrishna Achanta, Sheila S. Hemami, Francisco J. Estrada, Sabine Süsstrunk

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Salient Region Detection and Segmentation.

Radhakrishna Achanta, Francisco J. Estrada, Patricia Wils, Sabine Süsstrunk

Proceedings of the Computer Vision Systems, 6th International Conference, 2008