Tartaglia, G.
Standard Author Listing
with: Burger, J.: Extrinsic Calibration of Multiple Depth Cameras for 3d Fac...
with: Facchi, G.: Extrinsic Calibration of Multiple Depth Cameras for 3d Fac...
with: Grossi, G.: Extrinsic Calibration of Multiple Depth Cameras for 3d Fac...
with: Lanzarotti, R.: Extrinsic Calibration of Multiple Depth Cameras for 3d...
with: Pedersini, F.: Extrinsic Calibration of Multiple Depth Cameras for 3d ...
Tartaglia, G.M.
Standard Author Listing
with: Agnelli, F.: Graph Neural Networks for 3D facial morphology: Assessing...
with: D'Amelio, A.: Graph Neural Networks for 3D facial morphology: Assessin...
with: Facchi, G.M.: Graph Neural Networks for 3D facial morphology: Assessin...
with: Grossi, G.: Graph Neural Networks for 3D facial morphology: Assessing ...
with: Lanzarotti, R.: Graph Neural Networks for 3D facial morphology: Assess...
with: Sforza, C.: Graph Neural Networks for 3D facial morphology: Assessing ...
Tartaglia, M.C.
Standard Author Listing
with: Breitner, J.: Validation of a Regression Technique for Segmentation of...
with: Carmichael, O.T.: Validation of a Regression Technique for Segmentatio...
with: Collins, D.L.: Validation of a Regression Technique for Segmentation o...
with: Dadar, M.: Validation of a Regression Technique for Segmentation of Wh...
with: Decarli, C.: Validation of a Regression Technique for Segmentation of ...
with: Fonov, V.S.: Validation of a Regression Technique for Segmentation of ...
with: Manitsirikul, S.: Validation of a Regression Technique for Segmentatio...
with: Misquitta, K.: Validation of a Regression Technique for Segmentation o...
with: Pascoal, T.A.: Validation of a Regression Technique for Segmentation o...
with: Rosa Neto, P.: Validation of a Regression Technique for Segmentation o...
10 for Tartaglia, M.C.
Tartaglione, E.
Standard Author Listing
with: Ali, M.S.: ELMGS: Enhancing Memory and Computation Scalability Through...
with: Bae, S.H.: ELMGS: Enhancing Memory and Computation Scalability Through...
with: Barbano, C.A.: Bridging the gap between debiasing and privacy for deep...
with: Barbano, C.A.: EnD: Entangling and Disentangling deep representations ...
with: Barbano, C.A.: Two-Step Radiologist-Like Approach for Covid-19 Compute...
with: Barbano, C.A.: Unitopatho, A Labeled Histopathological Dataset for Col...
with: Benninck, E.: UniToBrain Dataset: A Brain Perfusion Dataset
with: Bergui, M.: UniToBrain Dataset: A Brain Perfusion Dataset
with: Bertero, L.: Unitopatho, A Labeled Histopathological Dataset for Color...
with: Berzovini, C.: Two-Step Radiologist-Like Approach for Covid-19 Compute...
with: Botta, M.: Delving in the loss landscape to embed robust watermarks in...
with: Bragagnolo, A.: On the Role of Structured Pruning for Neural Network C...
with: Bragagnolo, A.: Shannon Strikes Again! Entropy-based Pruning in Deep N...
with: Calandri, M.: Two-Step Radiologist-Like Approach for Covid-19 Computer...
with: Cassoni, P.: Unitopatho, A Labeled Histopathological Dataset for Color...
with: Cavagnino, D.: Delving in the loss landscape to embed robust watermark...
with: Cosman, P.: Efficient Progressive Image Compression with Variance-Awar...
with: d'Agata, F.: UniToBrain Dataset: A Brain Perfusion Dataset
with: de Moura Matos, I.: Debiasing Surgeon: Fantastic Weights and How to Fi...
with: Deng, C.X.L.: Compressing Explicit Voxel Grid Representations: fast Ne...
with: di Sario, F.: Boost Your NeRF: A Model-agnostic Mixture of Experts Fra...
with: di Sario, F.: Two is Better than One: Achieving High-quality 3d Scene ...
with: Fiandrotti, A.: Differentiable Entropy Model for Learned Image Compres...
with: Fiandrotti, A.: Efficient Progressive Image Compression with Variance-...
with: Fiandrotti, A.: Gabic: Graph-Based Attention Block for Image Compression
with: Fiandrotti, A.: On the Role of Structured Pruning for Neural Network C...
with: Fiandrotti, A.: Shannon Strikes Again! Entropy-based Pruning in Deep N...
with: Fiandrotti, A.: STanH: Parametric Quantization for Variable Rate Learn...
with: Fiandrotti, A.: Unitopatho, A Labeled Histopathological Dataset for Co...
with: Fiandrotti, A.: WiGNet: Windowed Vision Graph Neural Network
with: Gava, U.: UniToBrain Dataset: A Brain Perfusion Dataset
with: Giraldo, J.H.: Gabic: Graph-Based Attention Block for Image Compression
with: Giraldo, J.H.: Shannon Strikes Again! Entropy-based Pruning in Deep Ne...
with: Giraldo, J.H.: WiGNet: Windowed Vision Graph Neural Network
with: Grangetto, M.: Boost Your NeRF: A Model-agnostic Mixture of Experts Fr...
with: Grangetto, M.: Bridging the gap between debiasing and privacy for deep...
with: Grangetto, M.: Delving in the loss landscape to embed robust watermark...
with: Grangetto, M.: Differentiable Entropy Model for Learned Image Compress...
with: Grangetto, M.: Efficient Progressive Image Compression with Variance-A...
with: Grangetto, M.: EnD: Entangling and Disentangling deep representations ...
with: Grangetto, M.: Gabic: Graph-Based Attention Block for Image Compression
with: Grangetto, M.: On the Role of Structured Pruning for Neural Network Co...
with: Grangetto, M.: Shannon Strikes Again! Entropy-based Pruning in Deep Ne...
with: Grangetto, M.: STanH: Parametric Quantization for Variable Rate Learne...
with: Grangetto, M.: Take a Ramble into Solution Spaces for Classification P...
with: Grangetto, M.: Two is Better than One: Achieving High-quality 3d Scene...
with: Grangetto, M.: Two-Step Radiologist-Like Approach for Covid-19 Compute...
with: Grangetto, M.: Unitopatho, A Labeled Histopathological Dataset for Col...
with: Grangetto, M.: WiGNet: Windowed Vision Graph Neural Network
with: Lathuiliere, S.: Mini but Mighty: Finetuning ViTs with Mini Adapters
with: Lathuiliere, S.: Weighted Ensemble Models Are Strong Continual Learners
with: Li, Z.Y.: SCoTTi: Save Computation at Training Time with an adaptive f...
with: Liao, Z.: Can Unstructured Pruning Reduce the Depth in Deep Neural Net...
with: Marouf, I.E.: Mini but Mighty: Finetuning ViTs with Mini Adapters
with: Marouf, I.E.: Weighted Ensemble Models Are Strong Continual Learners
with: Milovanovic, M.: Sparse Double Descent in Vision Transformers: Real or...
with: Mozharovskyi, P.: Towards On-Device Learning on the Edge: Ways to Sele...
with: Nahon, R.: Debiasing Surgeon: Fantastic Weights and How to Find Them
with: Nahon, R.: Mining bias-target Alignment from Voronoi Cells
with: Nguyen, V.T.: Can Unstructured Pruning Reduce the Depth in Deep Neural...
with: Nguyen, V.T.: Debiasing Surgeon: Fantastic Weights and How to Find Them
with: Nguyen, V.T.: Mining bias-target Alignment from Voronoi Cells
with: Nguyen, V.T.: SCoTTi: Save Computation at Training Time with an adapti...
with: Nguyen, V.T.: Towards On-Device Learning on the Edge: Ways to Select N...
with: Perlo, D.: UniToBrain Dataset: A Brain Perfusion Dataset
with: Perlo, D.: Unitopatho, A Labeled Histopathological Dataset for Colorec...
with: Presta, A.: Differentiable Entropy Model for Learned Image Compression...
with: Presta, A.: Efficient Progressive Image Compression with Variance-Awar...
with: Presta, A.: Gabic: Graph-Based Attention Block for Image Compression
with: Presta, A.: STanH: Parametric Quantization for Variable Rate Learned I...
with: Quelennec, A.: Towards On-Device Learning on the Edge: Ways to Select ...
with: Quetu, V.: Can Unstructured Pruning Reduce the Depth in Deep Neural Ne...
with: Quetu, V.: Dodging the Double Descent in Deep Neural Networks
with: Quetu, V.: Sparse Double Descent in Vision Transformers: Real or Phant...
with: Renzulli, R.: Boost Your NeRF: A Model-agnostic Mixture of Experts Fra...
with: Renzulli, R.: Shannon Strikes Again! Entropy-based Pruning in Deep Neu...
with: Renzulli, R.: Two is Better than One: Achieving High-quality 3d Scene ...
with: Roy, S.: Weighted Ensemble Models Are Strong Continual Learners
with: Spadaro, G.: Gabic: Graph-Based Attention Block for Image Compression
with: Spadaro, G.: Shannon Strikes Again! Entropy-based Pruning in Deep Neur...
with: Spadaro, G.: WiGNet: Windowed Vision Graph Neural Network
81 for Tartaglione, E.
Tartagni, M.
Standard Author Listing
with: Perona, P.: Diffusion networks for on-chip image contrast normalization
Tartakovsky, D.M.
Standard Author Listing
with: Guadagnini, A.: Subsurface Characterization With Support Vector Machines
with: Wohlberg, B.: Subsurface Characterization With Support Vector Machines
Tartalja, I.I.
Standard Author Listing
with: Durdevic, D.M.: HFPaC: GPU friendly height field parallel compression
Tartari, A.
Standard Author Listing
with: Bonifazzi, C.: regularization method for unfolding the measured data o...
with: Maino, G.: regularization method for unfolding the measured data of di...
Tartarino, P.
Standard Author Listing
with: Barca, E.: Archival Aerial Images Georeferencing: A Geostatistically-B...
with: Greco, R.: Archival Aerial Images Georeferencing: A Geostatistically-B...
with: Marzulli, M.I.: Archival Aerial Images Georeferencing: A Geostatistica...
with: Persia, M.: Archival Aerial Images Georeferencing: A Geostatistically-...
Tartavel, G.
Standard Author Listing
with: Aguerrebere, C.: Exemplar-based Texture Synthesis: the Efros-Leung Alg...
with: Gousseau, Y.: Constrained Sparse Texture Synthesis
with: Gousseau, Y.: Exemplar-based Texture Synthesis: the Efros-Leung Algori...
with: Gousseau, Y.: Variational Texture Synthesis with Sparsity and Spectrum...
with: Gousseau, Y.: Wasserstein Loss for Image Synthesis and Restoration
with: Peyre, G.: Constrained Sparse Texture Synthesis
with: Peyre, G.: Variational Texture Synthesis with Sparsity and Spectrum Co...
with: Peyre, G.: Wasserstein Loss for Image Synthesis and Restoration
8 for Tartavel, G.
Tarter, A.
Standard Author Listing
with: Alvarez, F.: Detection of moving objects through turbulent media. Deco...
with: Ferrante, N.: Detection of moving objects through turbulent media. Dec...
with: Fortman, M.: Detection of moving objects through turbulent media. Deco...
with: Gilles, J.: Detection of moving objects through turbulent media. Decom...
with: Tahir, L.: Detection of moving objects through turbulent media. Decomp...
with: von Seeger, A.: Detection of moving objects through turbulent media. D...
Tartera Barbera, J.
Standard Author Listing
with: Ballester, O.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Sit...
with: Blanch, O.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site o...
with: Boix, J.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of ...
with: Calisse, P.G.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Sit...
with: Campoy Ordaz, A.: 1.8 m Class Pathfinder Raman LIDAR for the Northern ...
with: Colak, S.M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site ...
with: da Deppo, V.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site...
with: Doro, M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of ...
with: Font Pladevall, E.: 1.8 m Class Pathfinder Raman LIDAR for the Norther...
with: Font, L.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of ...
with: Garcia, R.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site o...
with: Gaug, M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of ...
with: Grau, R.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of ...
with: Kolar, D.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of...
with: Lopez Oramas, A.: 1.8 m Class Pathfinder Raman LIDAR for the Northern ...
with: Maggio, C.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site o...
with: Martinez, M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site...
with: Martinez, O.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site...
with: Riu Molinero, V.: 1.8 m Class Pathfinder Raman LIDAR for the Northern ...
with: Roman, D.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of...
with: Stanic, S.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site o...
with: Ubach, S.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of...
with: Zavrtanik, M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Sit...
with: Zivec, M.: 1.8 m Class Pathfinder Raman LIDAR for the Northern Site of...
24 for Tartera Barbera, J.