Order Matters: A Distributed Sampling Method for Multi-Object Tracking. - Kevin Smith 001; Daniel Gatica-Perez (BMVC, 2004)

Using Particles to Track Varying Numbers of Interacting People. - Kevin Smith 001; Daniel Gatica-Perez; Jean-Marc Odobez (CVPR (1), 2005)

Evaluating Multi-Object Tracking. - Kevin Smith 001; Daniel Gatica-Perez; Jean-Marc Odobez; Sileye O. Ba (CVPR Workshops, 2005)

2D Multi-person Tracking: A Comparative Study in AMI Meetings. - Kevin Smith 001; Sascha Schreiber; Igor Potucek; Vítezslav Beran; Gerhard Rigoll; Daniel Gatica-Perez (CLEAR, 2006)

Tracking the multi person wandering visual focus of attention. - Kevin Smith 001; Sileye O. Ba; Daniel Gatica-Perez; Jean-Marc Odobez (ICMI, 2006)

Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers. - Marc A. Al-Hames; Thomas Hain; Jan Cernocký; Sascha Schreiber; Mannes Poel; Ronald Müller; Sébastien Marcel; David A. van Leeuwen; Jean-Marc Odobez; Sileye O. Ba; Hervé Bourlard; Fabien Cardinaux; et al. (MLMI, 2006)

Multi-person Tracking in Meetings: A Comparative Study. - Kevin Smith 001; Sascha Schreiber; Igor Potucek; Vítezslav Beran; Gerhard Rigoll; Daniel Gatica-Perez (MLMI, 2006)

General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy. - Kevin Smith 001; Alan Carleton; Vincent Lepetit (CVPR, 2008)

Tracking the Visual Focus of Attention for a Varying Number of Wandering People. - Kevin Smith 001; Sileye O. Ba; Jean-Marc Odobez; Daniel Gatica-Perez (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Fast Ray features for learning irregular shapes. - Kevin Smith 001; Alan Carleton; Vincent Lepetit (ICCV, 2009)

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)

Are spatial and global constraints really necessary for segmentation? - Aurélien Lucchi; Yunpeng Li 002; Xavier Boix Bosch; Kevin Smith 001; Pascal Fua (ICCV, 2011)

Structured Image Segmentation Using Kernelized Features. - Aurélien Lucchi; Yunpeng Li 002; Kevin Smith 001; Pascal Fua (ECCV (2), 2012)

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)

Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets. - Germán González; Ludovico Fusco; Fethallah Benmansour; Pascal Fua; Olivier Pertz; Kevin Smith 001 (ISBI, 2013)

Learning Structured Models for Segmentation of 2-D and 3-D Imagery. - Aurélien Lucchi; Pablo Márquez-Neila; Carlos J. Becker; Yunpeng Li 002; Kevin Smith 001; Graham Knott; Pascal Fua (IEEE Trans. Medical Imaging, 2015)

The Preimage of Rectifier Network Activities. - Stefan Carlsson; Hossein Azizpour; Ali Sharif Razavian; Josephine Sullivan; Kevin Smith 001 (ICLR (Workshop), 2017)

Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. - Mattias Teye; Hossein Azizpour; Kevin Smith 001 (ICML, 2018)

An Empirical Study of the Relation Between Network Architecture and Complexity. - Emir Konuk; Kevin Smith 001 (ICCV Workshops, 2019)

Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. - Federico Baldassarre; Kevin Smith 001; Josephine Sullivan; Hossein Azizpour (ECCV (28), 2020)

Adding seemingly uninformative labels helps in low data regimes. - Christos Matsoukas; Albert Bou I Hernandez; Yue Liu; Karin Dembrower; Gisele Miranda; Emir Konuk; Johan Fredin Haslum; Athanasios Zouzos; Peter Lindholm; Fredrik Strand; Kevin Smith 001 (ICML, 2020)

Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. - Yue Liu; Hossein Azizpour; Fredrik Strand; Kevin Smith 001 (MICCAI (6), 2020)

Conditional De-Identification of 3D Magnetic Resonance Images. - Lennart Alexander Van der Goten; Tobias Hepp 002; Zeynep Akata; Kevin Smith 001 (BMVC, 2021)

CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. - Moein Sorkhei; Yue Liu; Hossein Azizpour; Edward Azavedo; Karin Dembrower; Dimitra Ntoula; Athanasios Zouzos; Fredrik Strand; Kevin Smith 001 (NeurIPS Datasets and Benchmarks, 2021)

Is it Time to Replace CNNs with Transformers for Medical Images? - Christos Matsoukas; Johan Fredin Haslum; Magnus Söderberg; Kevin Smith 001 (CoRR, 2021)

Wide-Range MRI Artifact Removal with Transformers. - Lennart Alexander Van der Goten; Kevin Smith 001 (BMVC, 2022)

What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors. - Christos Matsoukas; Johan Fredin Haslum; Moein Sorkhei; Magnus Söderberg; Kevin Smith 001 (CVPR, 2022)

The potential of artificial intelligence for achieving healthy and sustainable societies. - Beril Sirmaçek; S. Gupta; Fermín Mallor; Hossein Azizpour; Yifang Ban; Hamidreza Eivazi; Heng Fang; F. Golzar; Iolanda Leite; Gaspar Isaac Melsión; Kevin Smith 001; Francesco Fuso Nerini; et al. (CoRR, 2022)

Metadata-guided Consistency Learning for High Content Images. - Johan Fredin Haslum; Christos Matsoukas; Karl-Johan Leuchowius; Erik Müllers; Kevin Smith 001 (MIDL, 2023)

PatchDropout: Economizing Vision Transformers Using Patch Dropout. - Yue Liu; Christos Matsoukas; Fredrik Strand; Hossein Azizpour; Kevin Smith 001 (WACV, 2023)

Pretrained ViTs Yield Versatile Representations For Medical Images. - Christos Matsoukas; Johan Fredin Haslum; Magnus Söderberg; Kevin Smith 001 (CoRR, 2023)

3D Masked Autoencoders for Enhanced Privacy in MRI Scans. - Lennart Alexander Van der Goten; Kevin Smith 001 (CoRR, 2023)

Privacy Protection in MRI Scans Using 3D Masked Autoencoders. - Lennart Alexander Van der Goten; Kevin Smith 001; Alzheimer's Disease Neuroimaging Initiative (MICCAI (7), 2024)

A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation. - Emir Konuk; Robert Welch; Filip Christiansen; Elisabeth Epstein; Kevin Smith 001 (MICCAI (10), 2024)

Learning from Offline Foundation Features with Tensor Augmentations. - Emir Konuk; Christos Matsoukas; Moein Sorkhei; Phitchapha Lertsiravarameth; Kevin Smith 001 (NeurIPS, 2024)

Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. - Johan Fredin Haslum; Christos Matsoukas; Karl-Johan Leuchowius; Kevin Smith 001 (WACV, 2024)

Are Natural Domain Foundation Models Useful for Medical Image Classification? - Joana Palés Huix; Adithya Raju Ganeshan; Johan Fredin Haslum; Magnus Söderberg; Christos Matsoukas; Kevin Smith 001 (WACV, 2024)

MAMOC: MRI Motion Correction via Masked Autoencoding. - Lennart Alexander Van der Goten; Jingyu Guo; Kevin Smith 001 (CoRR, 2024)

Random Token Fusion for Multi-View Medical Diagnosis. - Jingyu Guo; Christos Matsoukas; Fredrik Strand; Kevin Smith 001 (CoRR, 2024)

VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings. - Leonardo F. S. Scabini; Kallil M. C. Zielinski; Emir Konuk; Ricardo T. Fares; Lucas Correia Ribas; Kevin Smith 001; Odemir M. Bruno (CoRR, 2025)

APLA: A Simple Adaptation Method for Vision Transformers. - Moein Sorkhei; Emir Konuk; Kevin Smith 001; Christos Matsoukas (CoRR, 2025)

k-NN as a Simple and Effective Estimator of Transferability. - Moein Sorkhei; Christos Matsoukas; Johan Fredin Haslum; Kevin Smith 001 (CoRR, 2025)

Efficient Self-Supervised Adaptation for Medical Image Analysis. - Moein Sorkhei; Emir Konuk; Jingyu Guo; Christos Matsoukas; Kevin Smith 001 (CoRR, 2025)

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations. - Amir Mehrpanah; Matteo Gamba; Kevin Smith 001; Hossein Azizpour (CoRR, 2025)