Jego, C.
* 2015: Hardware implementation of a soft cancellation decoder for polar codes
* 2016: Hardware architecture for lowering the error floor of LTE turbo codes
Jego, J.F.
* 2013: User-defined gestural interaction: A study on gesture memorization
Jego, S.[Sylvaine]
* 2021: Predicting the Presence of Leptospires in Rodents from Environmental Indicators Opens Up Opportunities for Environmental Monitoring of Human Leptospirosis
Includes: Jego, S.[Sylvaine] Jégo, S.[Sylvaine]
Jegorova, M.[Marija]
* 2023: SS-VAERR: Self-Supervised Apparent Emotional Reaction Recognition from Video
* 2023: Survey: Leakage and Privacy at Inference Time
Jegou, F.[Fabrice]
* 2021: Transport and Variability of Tropospheric Ozone over Oceania and Southern Pacific during the 2019-20 Australian Bushfires
* 2023: Case Study of a Mesospheric Temperature Inversion over Maido Observatory through a Multi-Instrumental Observation
Includes: Jegou, F.[Fabrice] Jégou, F.[Fabrice]
Jegou, H.[Herve]
* 2007: contextual dissimilarity measure for accurate and efficient image search, A
* 2008: Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search
* 2008: Query-Adaptive locality sensitive hashing
* 2008: Recent Advances in Large Scale Image Search
* 2009: Evaluation of GIST descriptors for web-scale image search
* 2009: On the burstiness of visual elements
* 2009: Packing bag-of-features
* 2010: Accurate Image Search Using the Contextual Dissimilarity Measure
* 2010: Aggregating local descriptors into a compact image representation
* 2010: Compact Video Description for Copy Detection with Precise Temporal Alignment
* 2010: Image-Based Approach to Video Copy Detection With Spatio-Temporal Post-Filtering, An
* 2010: Improving Bag-of-Features for Large Scale Image Search
* 2010: Locality sensitive hashing: A comparison of hash function types and querying mechanisms
* 2011: Product Quantization for Nearest Neighbor Search
* 2011: Reconstructing an image from its local descriptors
* 2012: Aggregating Local Image Descriptors into Compact Codes
* 2012: Efficient Mining of Repetitions in Large-Scale TV Streams with Product Quantization Hashing
* 2012: Hamming embedding similarity-based image classification
* 2012: Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening
* 2013: Better Exploiting Motion for Better Action Recognition
* 2013: Event Retrieval in Large Video Collections with Circulant Temporal Encoding
* 2013: Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval
* 2013: Stable Hyper-pooling and Query Expansion for Event Detection
* 2013: To Aggregate or Not to aggregate: Selective Match Kernels for Image Search
* 2014: Action Localization with Tubelets from Motion
* 2014: Orientation Covariant Aggregation of Local Descriptors with Embeddings
* 2014: Revisiting the Fisher vector for fine-grained classification
* 2014: Triangulation Embedding and Democratic Aggregation for Image Search
* 2014: Visual query expansion with or without geometry: Refining local descriptors by feature aggregation
* 2015: Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification, A
* 2015: Early burst detection for memory-efficient image retrieval
* 2015: Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels
* 2015: Rotation and translation covariant match kernels for image retrieval
* 2016: Approximate Search with Quantized Sparse Representations
* 2016: Circulant Temporal Encoding for Video Retrieval and Temporal Alignment
* 2016: Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images
* 2016: Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images
* 2016: Polysemous Codes
* 2017: Guest Editorial: Large-Scale Multimedia Data Retrieval, Classification, and Understanding
* 2017: Interferences in Match Kernels
* 2017: Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels
* 2018: LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers
* 2018: Link and Code: Fast Indexing with Graphs and Compact Regression Codes
* 2018: Low-Shot Learning with Large-Scale Diffusion
* 2019: Understanding and Improving Kernel Local Descriptors
* 2021: Emerging Properties in Self-Supervised Vision Transformers
* 2021: Going deeper with Image Transformers
* 2021: Grafit: Learning fine-grained image representations with coarse labels
* 2021: LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
* 2022: DeiT III: Revenge of the ViT
* 2022: Three Things Everyone Should Know About Vision Transformers
* 2023: Co-training 2L Submodels for Visual Recognition
* 2023: ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training
* 2023: Stable Signature: Rooting Watermarks in Latent Diffusion Models, The
Includes: Jegou, H.[Herve] Jégou, H.[Hervé] Jégou, H. Jegou, H. Jegou, H.[Hervé]
54 for Jegou, H.
Jegou, S.[Simon]
* 2017: One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation, The
Includes: Jegou, S.[Simon] Jégou, S.[Simon]