Antonio Ortega

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 195

Top Venues

ICASSP

CoRR

ICIP

IEEE Trans. Signal Process.

Publications

Asuka Tamaru, Junya Hara, Hiroshi Higashi, Yuichi Tanaka, Antonio Ortega
Optimizing k in kNN Graphs with Graph Learning Perspective. CoRR (2024)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Fast graph-based denoising for point cloud color information. CoRR (2024)
Ajinkya Jayawant, Antonio Ortega
Towards Bandwidth Estimation for Graph Signal Reconstruction. ICASSP (2023)
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Image Coding Via Perceptually Inspired Graph Learning. ICIP (2023)
Xin Xiong, Eduardo Pavez, Antonio Ortega, Balu Adsumilli
Rate-Distortion Optimization with Alternative References for UGC Video Compression. ICASSP (2023)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity. ICASSP (2023)
Ehab Ghabashneh, Chandan Bothra, Ramesh Govindan, Antonio Ortega, Sanjay Rao
Dragonfly: Higher Perceptual Quality For Continuous 360° Video Playback. SIGCOMM (2023)
Benjamin Girault, Eduardo Pavez, Antonio Ortega
Joint Graph and Vertex Importance Learning. CoRR (2023)
Ajitesh Srivastava, Juan Marcos Ramirez, Sergio Diaz, Jose Aguilar, Antonio Ortega, Antonio Fernández Anta, Rosa Lillo-Rodriguez
Estimating Temporal Trends using Indirect Surveys. CoRR (2023)
Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. ICASSP (2023)
Feng Ji, Wee Peng Tay, Antonio Ortega
Graph Signal Processing Over a Probability Space of Shift Operators. IEEE Trans. Signal Process. 71 (2023)
Johanna Garcia-Cardona, Wen-Yang Lu, Antonio Ortega
Multimodal Graph-Based Fusion to Enhance Satellite Image Resolution. CAMSAP (2023)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression. ICASSP (2023)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators. IEEE Trans. Signal Process. 71 (2023)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (1) (2023)
Benjamin Girault, Eduardo Pavez, Antonio Ortega
Joint Graph and Vertex Importance Learning. EUSIPCO (2023)
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
Compression of User Generated Content Using Denoised References. ICIP (2022)
Saghar Bagheri, Tam Thuc Do, Gene Cheung, Antonio Ortega
Hybrid Model-based / Data-driven Graph Transform for Image Coding. CoRR (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Motion estimation and filtered prediction for dynamic point cloud attribute compression. CoRR (2022)
Ryosuke Watanabe, Keisuke Nonaka, Haruhisa Kato, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage. ICASSP (2022)
Yung-Hsuan Chao, Haoran Hong, Gene Cheung, Antonio Ortega
Pre-Demosaic Graph-Based Light Field Image Compression. IEEE Trans. Image Process. 31 (2022)
Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. CoRR (2022)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. ICASSP (2022)
Johanna Garcia-Cardona, Antonio Ortega, Nereida Rodriguez-Alvarez
Graph-Based Interpolation for Remote Sensing Data. EUSIPCO (2022)
Ajinkya Jayawant, Antonio Ortega
Practical graph signal sampling with log-linear size scaling. Signal Process. 194 (2022)
Keng-Shih Lu, Antonio Ortega, Debargha Mukherjee, Yue Chen
DCT and DST Filtering With Sparse Graph Operators. IEEE Trans. Signal Process. 70 (2022)
Pratyusha Das, Antonio Ortega
Gradient-Weighted Class Activation Mapping for Spatio Temporal Graph Convolutional Network. ICASSP (2022)
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Point Cloud Attribute Compression Via Chroma Subsampling. ICASSP (2022)
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee, Onur G. Guleryuz, Keng-Shih Lu
Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting. ICIP (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Fractional Motion Estimation for Point Cloud Compression. CoRR (2022)
Keisuke Nonaka, Ryosuke Watanabe, Haruhisa Kato, Tatsuya Kobayashi, Eduardo Pavez, Antonio Ortega
Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video. ICASSP (2022)
Sarath Shekkizhar, Antonio Ortega
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. EUSIPCO (2022)
Johanna Garcia-Cardona, Antonio Ortega, Nereida Rodriguez-Alvarez
Downscaling SMAP Soil Moisture with Ecostress Products using a Graph-Based Interpolation Method. IGARSS (2022)
Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR (2022)
Saghar Bagheri, Tam Thuc Do, Gene Cheung, Antonio Ortega
Hybrid Model-Based / Data-Driven Graph Transform for Image Coding. ICIP (2022)
Xiaoyi Mai, Salman Avestimehr, Antonio Ortega, Mahdi Soltanolkotabi
On The Effectiveness of Active Learning by Uncertainty Sampling in Classification of High-Dimensional Gaussian Mixture Data. ICASSP (2022)
Ecem Bozkurt, Antonio Ortega
Non-Negative Kernel Graphs for Time-Varying Signals Using Visibility Graphs. EUSIPCO (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression. PCS (2022)
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR (2022)
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
Compression of user generated content using denoised references. CoRR (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Fractional Motion Estimation for Point Cloud Compression. DCC (2022)
Carlos Baquero, Paolo Casari, Antonio Fernández Anta, Amanda García-García, Davide Frey, Augusto Garcia-Agundez, Chryssis Georgiou, Benjamin Girault, Antonio Ortega, Mathieu Goessens, Harold A. Hernández-Roig, Nicolas Nicolaou, Efstathios Stavrakis, Oluwasegun Ojo, Julian C. Roberts, Ignacio Sanchez
The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing. Frontiers Comput. Sci. 3 (2021)
Saghar Bagheri, Gene Cheung, Antonio Ortega, Fen Wang
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative Glasso and Projection. ICASSP (2021)
Pratyusha Das, Antonio Ortega, Siheng Chen, Hassan Mansour, Anthony Vetro
Application-Agnostic Spatio-Temporal Hand Graph Representations For Stable Activity Understanding. ICIP (2021)
Nagahara Nagahara, Bhaskar Krishnamachari, Masaki Ogura, Antonio Ortega, Yuichi Tanaka, Yoshiaki Ushifusa, Thomas W. Valente
Control, intervention, and behavioral economics over human social networks against COVID-19. Adv. Robotics 35 (11) (2021)
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes. ICIP (2021)
Chao Pan, Siheng Chen, Antonio Ortega
Spatio-Temporal Graph Scattering Transform. ICLR (2021)
Sarath Shekkizhar, Antonio Ortega
Model selection and explainability in neural networks using a polytope interpolation framework. ACSCC (2021)
Eduardo Pavez, Antonio Ortega
Covariance Matrix Estimation With Non Uniform and Data Dependent Missing Observations. IEEE Trans. Inf. Theory 67 (2) (2021)
Pratyusha Das, Antonio Ortega
Symmetric Sub-graph Spatio-Temporal Graph Convolution and its application in Complex Activity Recognition. ICASSP (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs. CoRR (2021)
Sarath Shekkizhar, Antonio Ortega
NNK-Means: Dictionary Learning using Non-Negative Kernel regression. CoRR (2021)
Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agundez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso
Estimating Active Cases of COVID-19. CoRR (2021)
Alessandro Gnutti, Fabrizio Guerrini, Riccardo Leonardi, Antonio Ortega
Symmetry-Based Graph Fourier Transforms: Are They Optimal For Image Compression? ICIP (2021)
Dion Eustathios Olivier Tzamarias, Eduardo Pavez, Benjamin Girault, Antonio Ortega, Ian Blanes, Joan Serra-Sagristà
Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks. ICASSP (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. CoRR (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. CoRR (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. APSIPA ASC (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. ICASSP (2021)
Carlos Lassance, Vincent Gripon, Antonio Ortega
Representing Deep Neural Networks Latent Space Geometries with Graphs. Algorithms 14 (2) (2021)
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
Multi-resolution intra-predictive coding of 3D point cloud attributes. CoRR (2021)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs. ICASSP (2021)
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
Cylindrical Coordinates for Lidar Point Cloud Compression. ICIP (2021)
Keisuke Nonaka, Sarath Shekkizhar, Antonio Ortega
Graph-based Deep Learning Analysis and Instance Selection. MMSP (2020)
Saghar Bagheri, Gene Cheung, Antonio Ortega, Fen Wang
Learning Sparse Graph Laplacian with K Eigenvector Prior via Iterative GLASSO and Projection. CoRR (2020)
Sarath Shekkizhar, Antonio Ortega
Efficient Graph Construction For Image Representation. ICIP (2020)
Sarath Shekkizhar, Antonio Ortega
Graph Construction from Data by Non-Negative Kernel Regression. ICASSP (2020)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Region adaptive graph fourier transform for 3d point clouds. CoRR (2020)
Carlos Lassance, Vincent Gripon, Antonio Ortega
Representing Deep Neural Networks Latent Space Geometries with Graphs. CoRR (2020)
Koki Yamada, Yuichi Tanaka, Antonio Ortega
Time-Varying Graph Learning with Constraints on Graph Temporal Variation. CoRR (2020)
Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung
Sampling Signals on Graphs: From Theory to Applications. IEEE Signal Process. Mag. 37 (6) (2020)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Region Adaptive Graph Fourier Transform for 3D Point Clouds. ICIP (2020)
Hong-Ming Chiu, Carrson C. Fung, Antonio Ortega
Graph Learning and Augmentation Based Interpolation of Signal Strength for Location-Aware Communications. EUSIPCO (2020)
Basak Güler, Amir Salman Avestimehr, Antonio Ortega
TACC: Topology-Aware Coded Computing for Distributed Graph Processing. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Benjamin Girault, Antonio Ortega, Shrikanth S. Narayayan
Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces. ICASSP (2020)
Keng-Shih Lu, Antonio Ortega, Debargha Mukherjee, Yue Chen
Perceptually Inspired Weighted MSE Optimization Using Irregularity-Aware Graph Fourier Transform. ICIP (2020)
Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault, Harold Hernández, Elisa Cabana, Amanda García-García, Payman Arabshahi, Carlos Baquero, Paolo Casari, Ednaldo José Ferreira, Davide Frey, Chryssis Georgiou, Mathieu Goessens, Anna Ishchenko, Ernesto Jiménez, Oleksiy Kebkal, Rosa Lillo, Raquel Menezes, Nicolas Nicolaou, Antonio Ortega, Paul Patras, Julian C. Roberts, Efstathios Stavrakis, Yuichi Tanaka, Antonio Fernández Anta
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics. CoRR (2020)
Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep Geometric Knowledge Distillation with Graphs. ICASSP (2020)
Sarath Shekkizhar, Antonio Ortega
DeepNNK: Explaining deep models and their generalization using polytope interpolation. CoRR (2020)
Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega, Gene Cheung
Sampling on Graphs: From Theory to Applications. CoRR (2020)
Pratyusha Das, Antonio Ortega
Graph-based skeleton data compression. MMSP (2020)
Hilmi E. Egilmez, Yung-Hsuan Chao, Antonio Ortega
Graph-Based Transforms for Video Coding. IEEE Trans. Image Process. 29 (2020)
Chao Pan, Siheng Chen, Antonio Ortega
Spatio-Temporal Graph Scattering Transform. CoRR (2020)
Víctor González, Antonio Ortega
Multi-Resolution Spectral Graph Matching. ICIP (2019)
Akie Sakiyama, Kana Watanabe, Yuichi Tanaka, Antonio Ortega
Two-Channel Critically Sampled Graph Filter Banks With Spectral Domain Sampling. IEEE Trans. Signal Process. 67 (6) (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. CoRR (2019)
Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Introducing Graph Smoothness Loss for Training Deep Learning Architectures. DSW (2019)
Pratyusha Das, Jiun-Yu Kao, Antonio Ortega, Tomoya Sawada, Hassan Mansour, Anthony Vetro, Akira Minezawa
Hand Graph Representations for Unsupervised Segmentation of Complex Activities. ICASSP (2019)
David B. H. Tay, Antonio Ortega
M-Channel Graph Filter Banks: Polyphase Analysis and Structures. IEEE Signal Process. Lett. 26 (5) (2019)
Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega
Robust Graph Signal Sampling. ICASSP (2019)
Xing Xu, Zahaib Akhtar, Wyatt Lloyd, Antonio Ortega, Ramesh Govindan
Reducing Storage in Large-Scale Photo Sharing Services using Recompression. CoRR (2019)
Eduardo Pavez, Antonio Ortega
An Efficient Algorithm for Graph Laplacian Optimization Based on Effective Resistances. ACSSC (2019)
Carlos Eduardo Rosar Kós Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega
Deep geometric knowledge distillation with graphs. CoRR (2019)
Alessandro Gnutti, Fabrizio Guerrini, Riccardo Leonardi, Antonio Ortega
Coding of Image Intra Prediction Residuals Using Symmetric Graphs. ICIP (2019)
Yoon Hak Kim, Antonio Ortega
Toward Optimal Rate Allocation to Sampling Sets for Bandlimited Graph Signals. IEEE Signal Process. Lett. 26 (9) (2019)
Koki Yamada, Yuichi Tanaka, Antonio Ortega
Time-varying Graph Learning Based on Sparseness of Temporal Variation. ICASSP (2019)
Basak Güler, Amir Salman Avestimehr, Antonio Ortega
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. MLSP (2019)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Keng-Shih Lu, Antonio Ortega
Fast Graph Fourier Transforms Based on Graph Symmetry and Bipartition. IEEE Trans. Signal Process. 67 (18) (2019)
Sarath Shekkizhar, Antonio Ortega
Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). CoRR (2019)

Antonio Ortega.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antonio Ortega