Kevin Smith

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 25

Top Topics

Transfer Learning

Ordinal Classification

Top Venues

IEEE Trans. Medical Imaging

Publications

Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith
Are Natural Domain Foundation Models Useful for Medical Image Classification? WACV (2024)
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. WACV (2024)
Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith
Are Natural Domain Foundation Models Useful for Medical Image Classification? CoRR (2023)
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation. CoRR (2023)
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
Pretrained ViTs Yield Versatile Representations For Medical Images. CoRR (2023)
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV (2023)
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith
Metadata-guided Consistency Learning for High Content Images. MIDL (2023)
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith
Metadata-guided Consistency Learning for High Content Images. CoRR (2022)
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors. CoRR (2022)
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR (2022)
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors. CVPR (2022)
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
Is it Time to Replace CNNs with Transformers for Medical Images? CoRR (2021)
Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. CoRR (2021)
Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. NeurIPS Datasets and Benchmarks (2021)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks. CoRR (2020)
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
Adding seemingly uninformative labels helps in low data regimes. ICML (2020)
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
Adding Seemingly Uninformative Labels Helps in Low Data Regimes. CoRR (2020)
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR (2020)
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. MICCAI (6) (2020)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks. ECCV (28) (2020)
Emir Konuk, Kevin Smith
An Empirical Study of the Relation Between Network Architecture and Complexity. ICCV Workshops (2019)
Emir Konuk, Kevin Smith
An empirical study of the relation between network architecture and complexity. CoRR (2019)
Mattias Teye, Hossein Azizpour, Kevin Smith
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks. ICML (2018)
Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith
The Preimage of Rectifier Network Activities. ICLR (Workshop) (2017)
Aurélien Lucchi, Pablo Márquez-Neila, Carlos J. Becker, Yunpeng Li, Kevin Smith, Graham Knott, Pascal Fua
Learning Structured Models for Segmentation of 2-D and 3-D Imagery. IEEE Trans. Medical Imaging 34 (5) (2015)
Aurélien Lucchi, Yunpeng Li, Kevin Smith, Pascal Fua
Structured Image Segmentation Using Kernelized Features. ECCV (2) (2012)
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, Sabine Süsstrunk
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods. IEEE Trans. Pattern Anal. Mach. Intell. 34 (11) (2012)
Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Graham Knott, Pascal Fua
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features. IEEE Trans. Medical Imaging 31 (2) (2012)
Aurélien Lucchi, Yunpeng Li, Xavier Boix Bosch, Kevin Smith, Pascal Fua
Are spatial and global constraints really necessary for segmentation? ICCV (2011)
Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Vincent Lepetit, Pascal Fua
A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images. MICCAI (2) (2010)
Kevin Smith, Sileye O. Ba, Jean-Marc Odobez, Daniel Gatica-Perez
Tracking the Visual Focus of Attention for a Varying Number of Wandering People. IEEE Trans. Pattern Anal. Mach. Intell. 30 (7) (2008)
Kevin Smith, Sascha Schreiber, Igor Potucek, Vítezslav Beran, Gerhard Rigoll, Daniel Gatica-Perez
2D Multi-person Tracking: A Comparative Study in AMI Meetings. CLEAR (2006)
Kevin Smith, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez
Tracking the multi person wandering visual focus of attention. ICMI (2006)
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, Daniel Gatica-Perez, Adam Janin, Petr Motlícek, Stephan Reiter, Steve Renals, Jeroen van Rest, Rutger Rienks, Gerhard Rigoll, Kevin Smith, Andrew H. C. Thean, Pavel Zemcík
Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers. MLMI (2006)
Kevin Smith, Sascha Schreiber, Igor Potucek, Vítezslav Beran, Gerhard Rigoll, Daniel Gatica-Perez
Multi-person Tracking in Meetings: A Comparative Study. MLMI (2006)
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez, Sileye O. Ba
Evaluating Multi-Object Tracking. CVPR Workshops (2005)
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
Using Particles to Track Varying Numbers of Interacting People. CVPR (1) (2005)
Kevin Smith, Daniel Gatica-Perez
Order Matters: A Distributed Sampling Method for Multi-Object Tracking. BMVC (2004)