Smith, Kevin

26 publications

ICCV 2025 On the Complexity-Faithfulness Trade-Off of Gradient-Based Explanations Amir Mehrpanah, Matteo Gamba, Kevin Smith, Hossein Azizpour
TMLR 2025 k-NN as a Simple and Effective Estimator of Transferability Moein Sorkhei, Christos Matsoukas, Johan Fredin Haslum, Emir Konuk, Kevin Smith
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
WACV 2024 Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation Johan Fredin Haslum, Christos Matsoukas, Karl-Johan Leuchowius, Kevin Smith
NeurIPS 2024 Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum
NeurIPS 2024 Learning from Offline Foundation Features with Tensor Augmentations Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravaramet, Kevin Smith
NeurIPSW 2024 Random Token Fusion for Multi-View Medical Diagnosis Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin Smith
ECCV 2024 Understanding Physical Dynamics with Counterfactual World Modeling Rahul Venkatesh, Honglin Chen, Kevin Feigelis, Daniel M Bear, Khaled Jedoui, Klemen Kotar, Felix J Binder, Wanhee Lee, Sherry Liu, Kevin Smith, Judith E. Fan, Daniel Yamins
WACV 2023 PatchDropout: Economizing Vision Transformers Using Patch Dropout Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
NeurIPS 2023 Physion++: Evaluating Physical Scene Understanding That Requires Online Inference of Different Physical Properties Hsiao-Yu Tung, Mingyu Ding, Zhenfang Chen, Daniel Bear, Chuang Gan, Josh Tenenbaum, Dan Yamins, Judith Fan, Kevin Smith
CVPR 2022 What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith
ICML 2021 AGENT: A Benchmark for Core Psychological Reasoning Tianmin Shu, Abhishek Bhandwaldar, Chuang Gan, Kevin Smith, Shari Liu, Dan Gutfreund, Elizabeth Spelke, Joshua Tenenbaum, Tomer Ullman
ICML 2020 Adding Seemingly Uninformative Labels Helps in Low Data Regimes Christos Matsoukas, Albert Bou Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith
ECCV 2020 Explanation-Based Weakly-Supervised Learning of Visual Relations with Graph Networks Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour
ICCVW 2019 An Empirical Study of the Relation Between Network Architecture and Complexity Emir Konuk, Kevin Smith
NeurIPS 2019 Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations Kevin Smith, Lingjie Mei, Shunyu Yao, Jiajun Wu, Elizabeth Spelke, Josh Tenenbaum, Tomer Ullman
ICML 2018 Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye, Hossein Azizpour, Kevin Smith
NeurIPS 2018 End-to-End Differentiable Physics for Learning and Control Filipe de Avila Belbute-Peres, Kevin Smith, Kelsey Allen, Josh Tenenbaum, J. Zico Kolter
ICLR 2017 The Preimage of Rectifier Network Activities Stefan Carlsson, Hossein Azizpour, Ali Sharif Razavian, Josephine Sullivan, Kevin Smith
ECCV 2012 Structured Image Segmentation Using Kernelized Features Aurélien Lucchi, Yunpeng Li, Kevin Smith, Pascal Fua
ICCV 2011 Are Spatial and Global Constraints Really Necessary for Segmentation? Aurélien Lucchi, Yunpeng Li, Xavier Boix Bosch, Kevin Smith, Pascal Fua
ICCV 2009 Fast Ray Features for Learning Irregular Shapes Kevin Smith, Alan Carleton, Vincent Lepetit
CVPR 2008 General Constraints for Batch Multiple-Target Tracking Applied to Large-Scale Videomicroscopy Kevin Smith, Alan Carleton, Vincent Lepetit
CVPR 2005 Evaluating Multi-Object Tracking Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez, Sileye O. Ba
CVPRW 2005 Evaluating Multi-Object Tracking Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez, Sileye O. Ba
CVPR 2005 Using Particles to Track Varying Numbers of Interacting People Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez