Henaff, G.
* 2015: LR-CNN for fine-grained classification with varying resolution
* 2018: Classifying low-resolution images by integrating privileged information in deep CNNs
* 2019: End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection
* 2021: Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Single-Source Domain Generalization
* 2022: Look Beyond Bias with Entropic Adversarial Data Augmentation
* 2022: Swapping Semantic Contents for Mixing Images
* 2024: Semantic augmentation by mixing contents for semi-supervised learning
Includes: Henaff, G. Hénaff, G.[Gilles] Henaff, G.[Gilles]
7 for Henaff, G.
Henaff, O.J.[Olivier J.]
* 2021: Divide and Contrast: Self-supervised Learning from Uncurated Data
* 2021: Efficient Visual Pretraining with Contrastive Detection
* 2022: Object Discovery and Representation Networks
Includes: Henaff, O.J.[Olivier J.] Hénaff, O.J.[Olivier J.]
Henaish, A.[Ahmed]
* 2021: Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques
Henao, O.A.[Oscar A.]
* 2015: Gaussian Process Emulator for Estimating the Volume of Tissue Activated During Deep Brain Stimulation, A
* 2016: Hierarchical K-Nearest Neighbor Approach for Volume of Tissue Activated Estimation, A
* 2016: Kernel-Based Approach for DBS Parameter Estimation, A
* 2018: Nerve Structure Segmentation from Ultrasound Images Using Random Under-Sampling and an SVM Classifier
Includes: Henao, O.A.[Oscar A.] Henao, Ó.A.[Óscar A.] Henao, O.A.
Henao, R.[Ricardo]
* 2021: Wasserstein Contrastive Representation Distillation
* 2022: Efficient Classification of Very Large Images with Tiny Objects
* 2023: Pushing the Efficiency Limit Using Structured Sparse Convolutions
Henarejos, J.M.
* 2016: Configuration And Specifications Of An Unmanned Aerial Vehicle For Precision Agriculture