Dapo, A.
* 2019: Comparative Analysis of Taxonomy, Standardisation and Availability Of Cartographic Symbol Sets for Crisis Mapping
* 2019: Geoinformation for Research of Ongoing Geodynamic Processes in The Republic of Croatia
* 2020: All-in-One Application for Temporal Coordinate Transformation in Geodesy and Geoinformatics, An
* 2020: Cartographic Symbology for Crisis Mapping: A Comparative Study
Includes: Dapo, A. Ðapo, A. Ðapo, A.[Almin]
Dapogny, A.[Arnaud]
* 2015: Dynamic facial expression recognition by joint static and multi-time gap transition classification
* 2015: Pairwise Conditional Random Forests for Facial Expression Recognition
* 2017: Multi-Output Random Forests for Facial Action Unit Detection
* 2018: Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection
* 2018: Face alignment with cascaded semi-parametric deep greedy neural forests
* 2018: Investigating Deep Neural Forests for Facial Expression Recognition
* 2018: JEMImE: A Serious Game to Teach Children with ASD How to Adequately Produce Facial Expressions
* 2019: DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild
* 2019: Delving Deep into Interpreting Neural Nets with Piece-Wise Affine Representation
* 2019: Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests
* 2020: Deep Entwined Learning Head Pose and Face Alignment Inside an Attentional Cascade with Doubly-Conditional fusion
* 2020: DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss for gaze estimation
* 2020: MoDuL: Deep Modal and Dual Landmark-wise Gated Network for Facial Expression Recognition
* 2020: SEMEDA: Enhancing segmentation precision with semantic edge aware loss
* 2021: PLOP: Learning without Forgetting for Continual Semantic Segmentation
* 2022: Privileged Attribution Constrained Deep Networks for Facial Expression Recognition
* 2023: Adversarial Deep Multi-Task Learning Using Semantically Orthogonal Spaces and Application to Facial Attributes Prediction
* 2023: Designing Strong Baselines for Ternary Neural Network Quantization through Support and Mass Equalization
* 2023: Fighting Over-Fitting with Quantization for Learning Deep Neural Networks on Noisy Labels
* 2023: Multi-Order Networks for Action Unit Detection
* 2023: RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging
* 2023: RULe: Relocalization-Uniformization-Landmark Estimation Network for Real-Time Face Alignment in Degraded Conditions
* 2023: SPIQ: Data-Free Per-Channel Static Input Quantization
* 2023: THIN: THrowable Information Networks and Application for Facial Expression Recognition in the Wild
Includes: Dapogny, A.[Arnaud] Dapogny, A.
24 for Dapogny, A.
Daponte, J.S.
* 1997: Comparison of Genetic Algorithm Systems with Neural Network and Statistical Techniques for Analysis of Cloud Structures in Midlatitude Storm Systems
Daponte, V.
* 2020: Ontology-based Rule Compliance Checking for Subsurface Objects
Dapore, A.J.
* 2011: Analysis of Human Fibroadenomas Using Three-Dimensional Impedance Maps
Dapoto, S.H.[Sebastian H.]
* 2006: Mobile Path and Spin 3D Tracking and Reconstruction
Includes: Dapoto, S.H.[Sebastian H.] Dapoto, S.H.[Sebastián H.]