Keywords:
- accelerated exact k-means
- Adaboost
- adaptive exploration/exploitation trade-off
- algorithm
- Annulus
- Automatic Speech Recognition
- 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
- person re-identifcation
- premature fine-tuning
- query-free
- query-free interactive content-based image retrieval
- query-free interactive image retrieval
- Random forest
- ranking
- redundancy
- relevance feedback
- Sampling
- scalable
- Seeding
- self-attention
- semantic segmentation
- sparsity
- Stochastic Variance Reduced Gradient
- sub-quadratic
- SVM
- tensorial operations
- tracking
- trajectories
- Transformer
- Tree
- user-based evaluation
- Variance Reduced Gradient
- Vector quantization
- visual content-based features
- Wind Speed Nowcasting
- Yinyany
Publications of Francois Fleuret sorted by first author
A
| Exploratory Study on Direct Prediction of Diabetes using Deep Residual Networks, , , and , in: Proceedings of the thematic conference on computational vision and medical image processing, 2017 |
| Boosted Exudate Segmentation in Retinal Images using Residual Nets, , , and , in: Proceedings of the MICCAI Workshop on Ophthalmic Medical Image Analysis, 2017 |
| A real-time deformable detector., , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 |
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| Joint Pose Estimator and Feature Learning for Object Detection, , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2009 |
| FlowBoost - Appearance Learning from Sparsely Annotated Video, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2011 |
B
| Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition, , , , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2017 |
| Probability Occupancy Maps for Occluded Depth Images, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2829-2837, 2015 |
| Principled Parallel Mean-Field Inference for Discrete Random Fields, , , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016 |
| Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
| Multi-Modal Mean-Fields via Cardinality-Based Clamping, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2017 |
| Geodesic Convolutional Shape Optimization, , , and , in: Proceedings of the International Conference on Machine Learning, 2018 |
| Multi-Commodity Network Flow for Tracking Multiple People, , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013 |
| Tracking Multiple Objects under Global Appearance Constraints, , , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2011 |
| Multiple Object Tracking using Flow Linear Programming, , and , Idiap-RR-10-2009 |
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| Multi-Camera Tracking and Atypical Motion Detection with Behavioral Maps, , and , in: proceedings of the European Conference on Computer Vision, 2008 |
| Principled Detection-by-classification from Multiple Views, , and , in: proceedings of the International Conference on Computer Vision Theory and Applications, 2008 |
| Evaluation of Probabilistic Occupancy Map People Detection for Surveillance Systems, , , , and , in: Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009 |
| Multiple Object Tracking using K-Shortest Paths Optimization, , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011 |
C
| Large Scale Hard Sample Mining with Monte Carlo Tree Search, and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2016 |
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| Efficient Sample Mining for Object Detection, and , in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014 |
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| Importance Sampling Tree for Large-scale Empirical Expectation, , and , in: Proceedings of the International Conference on Machine Learning (ICML), New-York, 2016 |
| Sample Distillation for Object Detection and Image Classification, , and , in: Proceedings of the 6th Asian Conference on Machine Learning (ACML), Nha Trang, Vietnam, 2014 |
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| 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 |
[DOI] |
| Deep Generative Models and Applications, and , EPFL, 2020 |
[DOI] [URL] |
| SGAN: An Alternative Training of Generative Adversarial Networks, and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 9407-9415, IEEE, 2018 |
[DOI] |
| Deep Multi-Camera People Detection, and , in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017 |
| Reducing Noise in GAN Training with Variance Reduced Extragradient, , , and , in: Proceedings of the international conference on Neural Information Processing Systems, 2019 |
| Taming GANs with Lookahead, , , and , Idiap-RR-20-2020 |
[URL] |
| 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 |
| Borrowing from yourself: Faster future video segmentation with partial channel update, and , in: International Conference on Pattern Recognition, 2022 |
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| Real-Time Segmentation Networks should be Latency Aware, and , in: Asian Conference on Computer Vision, 2020 |
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| Paumer: Patch Pausing Transformer for Semantic Segmentation, , and , in: 33th British Machine Vision Conference 2022, London, UK, 21 - 24 November 2022, 2022 |
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D
| Adaptive Sampling for Large Scale Boosting, and , in: Journal of Machine Learning Research, 15:1431-1453, 2014 |
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| Accelerated Training of Linear Object Detectors, and , in: CVPR 2013 Workshop on Structured Prediction, 2013 |
[URL] |
| Deformable Part Models with Individual Part Scaling, and , in: British Machine Vision Conference, 2013 |
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