Kevin Smith

62 papers A* 7A 6B 1Journal 31Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models.
CoRR
Robert Welch, Emir Konuk, Kevin Smith
2025 J jnl
APLA: A Simple Adaptation Method for Vision Transformers.
CoRR
Moein Sorkhei, Emir Konuk, Kevin Smith, Christos Matsoukas
2025 — conf
Efficient Self-Supervised Adaptation for Medical Image Analysis.
ICCVW
Moein Sorkhei, Emir Konuk, Jingyu Guo, Chanjuan Meng, Christos Matsoukas, Kevin Smith
2025 J jnl
Efficient Self-Supervised Adaptation for Medical Image Analysis.
CoRR
Moein Sorkhei, Emir Konuk, Jingyu Guo, Christos Matsoukas, Kevin Smith
2025 J jnl
Learning What Helps: Task-Aligned Context Selection for Vision Tasks.
CoRR
Jingyu Guo, Emir Konuk, Fredrik Strand, Christos Matsoukas, Kevin Smith
2025 J jnl
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations.
CoRR
Amir Mehrpanah, Matteo Gamba, Kevin Smith, Hossein Azizpour
2025 J jnl
VORTEX: Challenging CNNs at Texture Recognition by using Vision Transformers with Orderless and Randomized Token Encodings.
CoRR
Leonardo F. S. Scabini, Kallil M. C. Zielinski, Emir Konuk, Ricardo T. Fares, Lucas Correia Ribas, Kevin Smith, Odemir M. Bruno
2025 J jnl
k-NN as a Simple and Effective Estimator of Transferability.
CoRR
Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum, Kevin Smith
2025 J jnl
k-NN as a Simple and Effective Estimator of Transferability.
Trans. Mach. Learn. Res.
Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum, Emir Konuk, Kevin Smith
2024 — conf
A Framework for Assessing Joint Human-AI Systems Based on Uncertainty Estimation.
MICCAI (10)
Emir Konuk, Robert Welch, Filip Christiansen, Elisabeth Epstein, Kevin Smith
2024 A conf
Are Natural Domain Foundation Models Useful for Medical Image Classification?
WACV
Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith
2024 A conf
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation.
WACV
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith
2024 A* conf
Learning from Offline Foundation Features with Tensor Augmentations.
NeurIPS
Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravarameth, Kevin Smith
2024 J jnl
Learning from Offline Foundation Features with Tensor Augmentations.
CoRR
Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravarameth, Kevin Smith
2024 J jnl
MAMOC: MRI Motion Correction via Masked Autoencoding.
CoRR
Lennart Alexander Van der Goten, Jingyu Guo, Kevin Smith
2024 — conf
Privacy Protection in MRI Scans Using 3D Masked Autoencoders.
MICCAI (7)
Lennart Alexander Van der Goten, Kevin Smith, Alzheimer's Disease Neuroimaging Initiative
2024 J jnl
Random Token Fusion for Multi-View Medical Diagnosis.
CoRR
Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin Smith
2023 J jnl
3D Masked Autoencoders for Enhanced Privacy in MRI Scans.
CoRR
Lennart Alexander Van der Goten, Kevin Smith
2023 J jnl
Are Natural Domain Foundation Models Useful for Medical Image Classification?
CoRR
Joana Palés Huix, Adithya Raju Ganeshan, Johan Fredin Haslum, Magnus Söderberg, Christos Matsoukas, Kevin Smith
2023 J jnl
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation.
CoRR
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith
2023 — conf
Metadata-guided Consistency Learning for High Content Images.
MIDL
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith
2023 A conf
PatchDropout: Economizing Vision Transformers Using Patch Dropout.
WACV
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2023 J jnl
Pretrained ViTs Yield Versatile Representations For Medical Images.
CoRR
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
2022 J jnl
Metadata-guided Consistency Learning for High Content Images.
CoRR
Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Erik Müllers, Kevin Smith
2022 J jnl
PatchDropout: Economizing Vision Transformers Using Patch Dropout.
CoRR
Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2022 J jnl
The potential of artificial intelligence for achieving healthy and sustainable societies.
CoRR
Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, Heng Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco Fuso Nerini, Ricardo Vinuesa
2022 J jnl
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors.
CoRR
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith
2022 A* conf
What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors.
CVPR
Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith
2022 J jnl
Wide Range MRI Artifact Removal with Transformers.
CoRR
Lennart Alexander Van der Goten, Kevin Smith
2022 A conf
Wide-Range MRI Artifact Removal with Transformers.
BMVC
Lennart Alexander Van der Goten, Kevin Smith
2021 — conf
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer.
NeurIPS Datasets and Benchmarks
Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2021 J jnl
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer.
CoRR
Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2021 A conf
Conditional De-Identification of 3D Magnetic Resonance Images.
BMVC
Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
2021 J jnl
Conditional De-Identification of 3D Magnetic Resonance Images.
CoRR
Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
2021 J jnl
Is it Time to Replace CNNs with Transformers for Medical Images?
CoRR
Christos Matsoukas, Johan Fredin Haslum, Magnus Söderberg, Kevin Smith
2020 J jnl
Adding Seemingly Uninformative Labels Helps in Low Data Regimes.
CoRR
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
2020 A* conf
Adding seemingly uninformative labels helps in low data regimes.
ICML
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
2020 — conf
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models.
MICCAI (6)
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
2020 J jnl
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models.
CoRR
Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
2020 — conf
Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks.
ECCV (28)
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2020 J jnl
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks.
CoRR
Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
2019 — conf
An Empirical Study of the Relation Between Network Architecture and Complexity.
ICCV Workshops
Emir Konuk, Kevin Smith
2019 J jnl
An empirical study of the relation between network architecture and complexity.
CoRR
Emir Konuk, Kevin Smith
2018 A* conf
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks.
ICML
Mattias Teye, Hossein Azizpour, Kevin Smith
2017 — conf
The Preimage of Rectifier Network Activities.
ICLR (Workshop)
Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith
2015 J jnl
Learning Structured Models for Segmentation of 2-D and 3-D Imagery.
IEEE Trans. Medical Imaging
Aurélien Lucchi, Pablo Márquez-Neila, Carlos J. Becker, Yunpeng Li, Kevin Smith, Graham Knott, Pascal Fua
2013 — conf
Automated quantification of morphodynamics for high-throughput live cell time-lapse datasets.
ISBI
Germán González, Ludovico Fusco, Fethallah Benmansour, Pascal Fua, Olivier Pertz, Kevin Smith
2012 J jnl
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods.
IEEE Trans. Pattern Anal. Mach. Intell.
Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, Sabine Süsstrunk
2012 — conf
Structured Image Segmentation Using Kernelized Features.
ECCV (2)
Aurélien Lucchi, Yunpeng Li, Kevin Smith, Pascal Fua
2012 J jnl
Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features.
IEEE Trans. Medical Imaging
Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Graham Knott, Pascal Fua
2011 A* conf
Are spatial and global constraints really necessary for segmentation?
ICCV
Aurélien Lucchi, Yunpeng Li, Xavier Boix Bosch, Kevin Smith, Pascal Fua
2010 — conf
A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images.
MICCAI (2)
Aurélien Lucchi, Kevin Smith, Radhakrishna Achanta, Vincent Lepetit, Pascal Fua
2009 A* conf
Fast Ray features for learning irregular shapes.
ICCV
Kevin Smith, Alan Carleton, Vincent Lepetit
2008 A* conf
General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy.
CVPR
Kevin Smith, Alan Carleton, Vincent Lepetit
2008 J jnl
Tracking the Visual Focus of Attention for a Varying Number of Wandering People.
IEEE Trans. Pattern Anal. Mach. Intell.
Kevin Smith, Sileye O. Ba, Jean-Marc Odobez, Daniel Gatica-Perez
2006 — conf
2D Multi-person Tracking: A Comparative Study in AMI Meetings.
CLEAR
Kevin Smith, Sascha Schreiber, Igor Potucek, Vítezslav Beran, Gerhard Rigoll, Daniel Gatica-Perez
2006 — conf
Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers.
MLMI
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
2006 — conf
Multi-person Tracking in Meetings: A Comparative Study.
MLMI
Kevin Smith, Sascha Schreiber, Igor Potucek, Vítezslav Beran, Gerhard Rigoll, Daniel Gatica-Perez
2006 B conf
Tracking the multi person wandering visual focus of attention.
ICMI
Kevin Smith, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez
2005 — conf
Evaluating Multi-Object Tracking.
CVPR Workshops
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez, Sileye O. Ba
2005 — conf
Using Particles to Track Varying Numbers of Interacting People.
CVPR (1)
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
2004 A conf
Order Matters: A Distributed Sampling Method for Multi-Object Tracking.
BMVC
Kevin Smith, Daniel Gatica-Perez