Salient Region Detection and Segmentation. - Radhakrishna Achanta; Francisco J. Estrada; Patricia Wils; Sabine Süsstrunk (ICVS, 2008)

Frequency-tuned salient region detection. - Radhakrishna Achanta; Sheila S. Hemami; Francisco J. Estrada; Sabine Süsstrunk (CVPR, 2009)

Saliency detection for content-aware image resizing. - Radhakrishna Achanta; Sabine Süsstrunk (ICIP, 2009)

Image summaries using database saliency. - Radhakrishna Achanta; Appu Shaji; Pascal Fua; Sabine Süsstrunk (SIGGRAPH ASIA Posters, 2009)

Saliency detection using maximum symmetric surround. - Radhakrishna Achanta; Sabine Süsstrunk (ICIP, 2010)

A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images. - Aurélien Lucchi; Kevin Smith 001; Radhakrishna Achanta; Vincent Lepetit; Pascal Fua (MICCAI (2), 2010)

Finding Objects of Interest in Images using Saliency and Superpixels. - Radhakrishna Achanta (2011)

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. - Radhakrishna Achanta; Appu Shaji; Kevin Smith 001; Aurélien Lucchi; Pascal Fua; Sabine Süsstrunk (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features. - Aurélien Lucchi; Kevin Smith 001; Radhakrishna Achanta; Graham Knott; Pascal Fua (IEEE Trans. Medical Imaging, 2012)

Text Recognition in Natural Images using Multiclass Hough Forests. - Gökhan Yildirim 001; Radhakrishna Achanta; Sabine Süsstrunk (VISAPP (1), 2013)

Uniform Information Segmentation. - Radhakrishna Achanta; Pablo Márquez-Neila; Pascal Fua; Sabine Süsstrunk (CoRR, 2016)

Superpixels and Polygons Using Simple Non-iterative Clustering. - Radhakrishna Achanta; Sabine Süsstrunk (CVPR, 2017)

Single Image Reflection Suppression. - Nikolaos Arvanitopoulos; Radhakrishna Achanta; Sabine Süsstrunk (CVPR, 2017)

Extreme image completion. - Radhakrishna Achanta; Nikolaos Arvanitopoulos; Sabine Süsstrunk (ICASSP, 2017)

Face recognition in real-world images. - Xavier Fontaine; Radhakrishna Achanta; Sabine Süsstrunk (ICASSP, 2017)

Deep Feature Factorization for Concept Discovery. - Edo Collins; Radhakrishna Achanta; Sabine Süsstrunk (ECCV (14), 2018)

Scale-Adaptive Superpixels. - Radhakrishna Achanta; Pablo Márquez-Neila; Pascal Fua; Sabine Süsstrunk (CIC, 2018)

Deep Residual Network for Joint Demosaicing and Super-Resolution. - Ruofan Zhou; Radhakrishna Achanta; Sabine Süsstrunk (CIC, 2018)

Fourier-Domain Optimization for Image Processing. - Majed El Helou; Frederike Dümbgen; Radhakrishna Achanta; Sabine Süsstrunk (CoRR, 2018)

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 (FIMH, 2019)

Self-Binarizing Networks. - Fayez Lahoud; Radhakrishna Achanta; Pablo Márquez-Neila; Sabine Süsstrunk (CoRR, 2019)

Height and Weight Estimation from Unconstrained Images. - Can Yilmaz Altinigne; Dorina Thanou; Radhakrishna Achanta (ICASSP, 2020)

Image Obfuscation for Privacy-Preserving Machine Learning. - Mathilde Raynal; Radhakrishna Achanta; Mathias Humbert (CoRR, 2020)

Uncertainty Surrogates for Deep Learning. - Radhakrishna Achanta; Natasa Tagasovska (CoRR, 2021)

What You See is What You Classify: Black Box Attributions. - Steven Stalder; Nathanaël Perraudin; Radhakrishna Achanta; Fernando Pérez-Cruz; Michele Volpi (NeurIPS, 2022)

VETIM: Expanding the Vocabulary of Text-to-Image Models only with Text. - Martin Nicolas Everaert; Marco Bocchio; Sami Arpa; Sabine Süsstrunk; Radhakrishna Achanta (BMVC, 2023)

Diffusion in Style. - Martin Nicolas Everaert; Marco Bocchio; Sami Arpa; Sabine Süsstrunk; Radhakrishna Achanta (ICCV, 2023)

Exploiting the Signal-Leak Bias in Diffusion Models. - Martin Nicolas Everaert; Athanasios Fitsios; Marco Bocchio; Sami Arpa; Sabine Süsstrunk; Radhakrishna Achanta (WACV, 2024)