Damba, I.[Iderbat]
* 2021: Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species
Dambach, P.[Peter]
* 2016: Re-emerging Malaria Vectors In Rural Sahel (nouna, Burkina Faso): The Paluclim Project
Dambacher, M.
* 2004: Monitoring and inspecting overhead wires and supporting structures
* 2007: Novel Platform for Terrestrial 3D Mapping from Fast Vehicles
Dambek, M.
* 2012: distributed online learning tracking algorithm, A
Damblans, G.[Guillaume]
* 2024: Experimental Evaluation of the Motion-Induced Effects for Turbulent Fluctuations Measurement on Floating Lidar Systems
Dambra, C.[Carlo]
* 1997: CRASH project: Defect detection and classification in ferrite cores, The
* 1999: Remote cable-based video surveillance applications: the AVS-RIO project
Includes: Dambra, C.[Carlo] Dambra, C.
Dambre, J.
* 2016: Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition
* 2017: Fast Face-Swap Using Convolutional Neural Networks
* 2017: Gesture and Sign Language Recognition with Temporal Residual Networks
* 2018: Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video
* 2018: Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks
* 2021: Isolated Sign Recognition from RGB Video using Pose Flow and Self-Attention
* 2022: Anchor pruning for object detection
Includes: Dambre, J. Dambre, J.[Joni]
7 for Dambre, J.
Dambreville, F.[Frederic]
* 2001: Minimax Optimization of Continuous Search Efforts for the Detection of a Target
Dambreville, R.
* 2013: Unsupervised methods for the classification of hyperspectral images with low spatial resolution
Dambreville, S.[Samuel]
* 2006: Comparative Analysis of Kernel Methods for Statistical Shape Learning
* 2006: Particle Filtering with Dynamic Shape Priors
* 2006: Shape-Based Approach to Robust Image Segmentation using Kernel PCA
* 2006: Shape-Based Approach to Robust Image Segmentation, A
* 2007: variational framework combining level-sets and thresholding., A
* 2008: Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors, A
* 2008: Localized statistics for DW-MRI fiber bundle segmentation
* 2008: Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
* 2008: Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
* 2008: TAC: Thresholding active contours
* 2009: Non-rigid 2D-3D pose estimation and 2D image segmentation
* 2010: Geometric Approach To Joint 2d Region-Based Segmentation and 3D Pose Estimation Using A 3d Shape Prior, A
* 2010: Point Set Registration via Particle Filtering and Stochastic Dynamics
* 2011: Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation, A
Includes: Dambreville, S.[Samuel] Dambreville, S.
14 for Dambreville, S.