| 2026 | DCC | Region-Adaptive Learned Hierarchical Encoding for 3D Gaussian Splatting Data. | Shashank N. Sridhara, Birendra Kathariya, Fangjun Pu, Peng Yin, Eduardo Pavez, Antonio Ortega |
| 2025 | ICASSP | Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph. | Samuel Fernndez-Menduia, Eduardo Pavez, Antonio Ortega |
| 2025 | ICASSP | Graph-based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-irregular Sensor Data. | Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega |
| 2025 | ICASSP | No-Reference Point Cloud Quality Assessment Based on Graph Signal Variation. | Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2025 | ICIP | Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression. | Samuel Fernndez-Menduia, Xin Xiong, Eduardo Pavez, Antonio Ortega, Neil Birkbeck, Balu Adsumilli |
| 2025 | ICIP | Joint Optimization of Primary and Secondary Transforms Using Rate-Distortion Optimized Transform Design. | Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee, Onur G. Guleryuz, Keng-Shih Lu, Kruthika Koratti Sivakumar |
| 2025 | ICIP | Adaptive Voxelization for Transform Coding of 3D Gaussian Splatting Data. | Chenjunjie Wang, Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Cheng Chang |
| 2025 | PCS | INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding. | Samuel Fernndez-Menduia, Eduardo Pavez, Antonio Ortega, Tsung-Wei Huang, Thuong Nguyen Canh, Guan-Ming Su, Peng Yin |
| 2024 | ACSSC | Towards Joint Graph Learning and Sampling Set Selection from Data. | Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega |
| 2024 | ICASSP | Irregularity-Aware Bandlimited Approximation for Graph Signal Interpolation. | Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega |
| 2024 | ICASSP | Fast Graph-Based Denoising For Point Cloud Color Information. | Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2024 | ICIP | Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets. | Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2024 | MMSP | Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines. | Samuel Fernndez-Menduia, Eduardo Pavez, Antonio Ortega |
| 2024 | MMSP | Color-Guided Flying Pixel Correction in Depth Images. | Ekamresh Vasudevan, Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Raghavendra Singh, Srinath Kalluri |
| 2024 | PCS | Adaptive Online Learning of Separable Path Graph Transforms for Intra-Prediction. | Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Xin Zhao, Shan Liu |
| 2023 | ICASSP | Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity. | Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2023 | ICASSP | Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression. | Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2023 | ICASSP | Rate-Distortion Optimization with Alternative References for UGC Video Compression. | Xin Xiong, Eduardo Pavez, Antonio Ortega, Balu Adsumilli |
| 2023 | ICIP | Image Coding Via Perceptually Inspired Graph Learning. | Samuel Fernndez-Menduia, Eduardo Pavez, Antonio Ortega |
| 2022 | AISTATS | Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency. | Eduardo Pavez |
| 2022 | DCC | Fractional Motion Estimation for Point Cloud Compression. | Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka |
| 2022 | ICASSP | Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video. | Keisuke Nonaka, Ryosuke Watanabe, Haruhisa Kato, Tatsuya Kobayashi, Eduardo Pavez, Antonio Ortega |
| 2022 | ICASSP | Point Cloud Attribute Compression Via Chroma Subsampling. | Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka |
| 2022 | ICASSP | Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage. | Ryosuke Watanabe, Keisuke Nonaka, Haruhisa Kato, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega |
| 2022 | ICIP | Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting. | Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee, Onur G. Guleryuz, Keng-Shih Lu |
| 2022 | ICIP | Compression of User Generated Content Using Denoised References. | Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli |
| 2022 | PCS | Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression. | Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka |
| 2021 | ICASSP | A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. | Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega |
| 2021 | ICASSP | Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs. | Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou |
| 2021 | ICASSP | Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks. | Dion Eustathios Olivier Tzamarias, Eduardo Pavez, Benjamin Girault, Antonio Ortega, Ian Blanes, Joan Serra-Sagrist |
| 2021 | ICIP | Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes. | Eduardo Pavez, Andr L. Souto, Ricardo L. de Queiroz, Antonio Ortega |
| 2021 | ICIP | Cylindrical Coordinates for Lidar Point Cloud Compression. | Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega |
| 2020 | ICIP | Region Adaptive Graph Fourier Transform for 3D Point Clouds. | Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou |
| 2019 | ACSSC | An Efficient Algorithm for Graph Laplacian Optimization Based on Effective Resistances. | Eduardo Pavez, Antonio Ortega |
| 2018 | ICASSP | Active Covariance Estimation by Random Sub-Sampling of Variables. | Eduardo Pavez, Antonio Ortega |
| 2017 | ICASSP | Dynamic polygon cloud compression. | Eduardo Pavez, Philip A. Chou |
| 2017 | ICIP | Learning separable transforms by inverse covariance estimation. | Eduardo Pavez, Antonio Ortega, Debargha Mukherjee |
| 2016 | ACSSC | Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields. | Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega |
| 2016 | ICASSP | Generalized Laplacian precision matrix estimation for graph signal processing. | Eduardo Pavez, Antonio Ortega |
| 2015 | PCS | GTT: Graph template transforms with applications to image coding. | Eduardo Pavez, Hilmi E. Egilmez, Yongzhe Wang, Antonio Ortega |