Keywords:
- accelerated exact k-means
- Adaboost
- adaptive exploration/exploitation trade-off
- algorithm
- Annulus
- Automatic Speech Recognition
- Autoregressive models
- batch
- Bayesian framework
- Benchmarking
- BERT
- bioinformatics
- boosting
- Bootstrapping
- clustering
- computational efficiency
- computer vision
- content-based image retrieval
- Convolutional Neural Networks
- cue integration
- Deep Generative Models
- deep learning
- Elkan
- exact
- exact k-means
- Exponion
- feature combination
- feature selection
- Gaussian Mixture Model
- Gaussian Mixture Models (GMM)
- Generative Adversarial Networks
- genomics
- Greedy Edge Expectation Maximization (GEEM)
- Hamerly
- Hard Mining
- Hyperparameter optimization
- Image classification
- Importance Sampling
- Initialisation
- interactive
- iterative
- iterative relevance feedback
- K-means
- k-medoids
- k-nearest neighbors
- large-scale
- large-scale iterative relevance feedback
- localization
- log-based similarity learning
- lookahead
- machine learning
- medoid
- Metric learning
- Mini-batch
- minimax
- multimodal textual-based and visual content-based features
- nested
- nesting
- object detection
- Off-target effect
- optimization
- orthonormal regularizer
- parallel
- pattern classification
- Permutations
- person re-identifcation
- premature fine-tuning
- query-free
- query-free interactive content-based image retrieval
- query-free interactive image retrieval
- Random forest
- ranking
- redundancy
- Rejection Sampling
- relevance feedback
- Sampling
- scalable
- Seeding
- self-attention
- semantic segmentation
- sparsity
- Stochastic Variance Reduced Gradient
- sub-quadratic
- SVM
- tensorial operations
- tracking
- trajectories
- Transformer
- transformers
- Tree
- user-based evaluation
- Variance Reduced Gradient
- Vector quantization
- visual content-based features
- Wind Speed Nowcasting
- Yinyany
Publications of Francois Fleuret sorted by title
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| Steerable Features for Statistical 3D Dendrite Detection, , , , and , in: Proceedings of the International Conference on Medical Image Computing and Computer Assisted Intervention, 2009 |
| Stochastic Variance Reduced Gradient Optimization of Generative Adversarial Networks, , , and , in: International Conference on Machine Learning (ICML) workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018 |
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| Taming GANs with Lookahead, , , and , Idiap-RR-20-2020 |
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| Tasting Families of Features for Image Classification, and , in: International Conference on Computer Vision, 2011 |
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| Test time Adaptation through Perturbation Robustness, and , Idiap-RR-17-2021 |
| Test time Adaptation through Perturbation Robustness, and , in: Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 |
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| The MASH Project, , , and , in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011 |
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| Tracking Interacting Objects Optimally Using Integer Programming, , , and , in: Proceedings of the European Conference on Computer Vision, pages 17-32, 2014 |
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| Tracking Interacting Objects Using Intertwined Flows, , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 |
| Tracking Multiple Objects under Global Appearance Constraints, , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2011 |
| Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention, , , and , in: Proceedings of International Conference on Machine Learning, 2020 |
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| treeKL: A distance between high dimension empirical distributions, and , in: Pattern Recognition Letters, 34(2):140-145, 2013 |
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| Uncertainty Reduction for Model Adaptation in Semantic Segmentation, and , in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 |
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| Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
| WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, , , , , , , , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 5030-5039, 2018 |
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