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
A
A real-time deformable detector., , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 |
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A Sub-Quadratic Exact Medoid Algorithm, and , Idiap-RR-19-2017 |
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A Sub-Quadratic Exact Medoid Algorithm, and , in: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017 |
A tree-based distance between distributions: application to classification of neurons, and , in: ICASSP 2012 : IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
Accelerated Training of Linear Object Detectors, and , in: CVPR 2013 Workshop on Structured Prediction, 2013 |
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Adaptive relevance feedback for large-scale image retrieval, and , in: Multimedia Tools and Applications, 75(12):6777-6807, 2016 |
[DOI] |
Adaptive Sampling for Large Scale Boosting, and , in: Journal of Machine Learning Research, 15:1431-1453, 2014 |
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Automated Delineation of Dendritic Networks in Noisy Image Stacks, , and , in: proceedings of the European Conference on Computer Vision, 2008 |
B
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence, , and , in: Transactions on Machine Learning Research, 2023 |
Boosted Exudate Segmentation in Retinal Images using Residual Nets, , , and , in: Proceedings of the MICCAI Workshop on Ophthalmic Medical Image Analysis, 2017 |
Boosting with Maximum Adaptive Sampling, and , in: Proceedings of the Neural Information Processing Systems Conference, 2011 |
Borrowing from yourself: Faster future video segmentation with partial channel update, and , in: International Conference on Pattern Recognition, 2022 |
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C
Classification-based Probabilistic Modeling of Texture Transition for Fast Line Search Tracking and Delineation, , , and , in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008 |
Comparing machines and humans on a visual categorization test, , , , , and , in: Proceedings of the National Academy of Sciences, 2011 |
Computer vision profiling of neurite outgrowth dynamics reveals spatio-temporal modularity of Rho GTPase signaling, , , , , , , , , and , in: Journal of Cell Biology, 212(1):91-111, 2016 |
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D
Deep Generative Models and Applications, and , EPFL, 2020 |
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Deep Multi-Camera People Detection, and , in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017 |
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, , and , in: Proceedings of the IEEE International Conference on Computer Vision, 2017 |
Deformable Part Models with Individual Part Scaling, and , in: British Machine Vision Conference, 2013 |
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Delineating Trees in Noisy 2D Images and 3D Image Stacks, , , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, pages 2799–2806, 2010 |
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation, , and , in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pages 6039-6048, 2021 |
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Dynamic Programming Boosting for Discriminative Macro-Action Discovery, and , in: International Conference on Machine Learning, 2014 |
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E
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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Efficient Training of Low-Curvature Neural Networks, , , and , in: NeurIPS 2022, 2022 |
[URL] |
Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm, , and , Idiap-RR-05-2022 |
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Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm, , and , in: Proceedings of SIAM Data Mining, Virginia US and Virtual, 2022 |
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields, , and , in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition (CVPR), pages 17408-17419, 2023 |
[DOI] |
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 |
Exact Acceleration of Linear Object Detectors, and , in: Proceedings of the European Conference on Computer Vision, 2012 |
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Exact Preimages of Neural Network Aircraft Collision Avoidance Systems, and , in: Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems 2020, 2020 |
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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 |
F
Fast K-Means with Accurate Bounds, and , Idiap-RR-17-2016 |
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Fast K-Means with Accurate Bounds, and , in: Proceedings of the International Conference on Machine Learning (ICML), New York, 2016 |