| 2025 | DCC | Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images. | Michela Testolina, Mohsen Jenadeleh, Shima Mohammadi, Shaolin Su, Joo Ascenso, Touradj Ebrahimi, Jon Sneyers, Dietmar Saupe |
| 2025 | ISM | Attention-Enhanced Multi-Branch Spiking Neural Network for Event Stream Super-Resolution. | Ahmadreza Sezavar, Catarina Brites, Joo Ascenso |
| 2025 | QoMEX | Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression. | Mohsen Jenadeleh, Jon Sneyers, Panqi Jia, Shima Mohammadi, Joo Ascenso, Dietmar Saupe |
| 2025 | QoMEX | Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity. | Mohsen Jenadeleh, Jon Sneyers, Davi Lazzarotto, Shima Mohammadi, Dominik Keller, Atanas Boev, Rakesh Rao Ramachandra Rao, Antnio M. G. Pinheiro, Thomas Richter, Alexander Raake, Touradj Ebrahimi, Joo Ascenso, Dietmar Saupe |
| 2025 | QoMEX | GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis. | Pedro Martin, Antnio Rodrigues, Joo Ascenso, Maria Paula Queluz |
| 2024 | ISM | Evaluation of strategies for efficient rate-distortion NeRF streaming. | Pedro Martin, Antnio Rodrigues, Joo Ascenso, Maria Paula Queluz |
| 2024 | ISM | Low Complexity Learning-based Lossless Event-based Compression. | Ahmadreza Sezavar, Catarina Brites, Joo Ascenso |
| 2024 | MMSP | JPEG AI Compressed Domain Face Detection. | Ayman Alkhateeb, Alessandro Gnutti, Fabrizio Guerrini, Riccardo Leonardi, Joo Ascenso, Fernando Pereira |
| 2024 | VCIP | Learning-based Lossless Event Data Compression. | Ahmadreza Sezavar, Catarina Brites, Joo Ascenso |
| 2023 | ICIP | Complexity Scalable Learning-Based Image Decoding. | Md Tahsir Ahmed Munna, Joo Ascenso |
| 2023 | QoMEX | NeRF-QA: Neural Radiance Fields Quality Assessment Database. | Pedro Martin, Antnio Rodrigues, Joo Ascenso, Maria Paula Queluz |
| 2023 | VCIP | Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology. | Shima Mohammadi, Yaojun Wu, Joo Ascenso |
| 2022 | ISM | Evaluation of Sampling Algorithms for a Pairwise Subjective Assessment Methodology. | Shima Mohammadi, Joo Ascenso |
| 2022 | PCS | Perceptual impact of the loss function on deep-learning image coding performance. | Shima Mohammadi, Joo Ascenso |
| 2021 | ICASSP | Image Coding with Neural Network-Based Colorization. | Diogo Lopes, Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2021 | MMSP | A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment. | Alireza Javaheri, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2021 | QoMEX | Performance Evaluation of Objective Image Quality Metrics on Conventional and Learning-Based Compression Artifacts. | Michela Testolina, Evgeniy Upenik, Joo Ascenso, Fernando Pereira, Touradj Ebrahimi |
| 2021 | VCIP | Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding. | Evgeniy Upenik, Michela Testolina, Joo Ascenso, Fernando Pereira, Touradj Ebrahimi |
| 2020 | ICIP | Improving Psnr-Based Quality Metrics Performance For Point Cloud Geometry. | Alireza Javaheri, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2020 | QoMEX | A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry. | Alireza Javaheri, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2019 | DCC | Hybrid Point Cloud Geometry Coding Using Planes and Octree Representation Models. | Antoine Dricot, Joo Ascenso |
| 2019 | MMSP | Improved Patch Packing for the MPEG V-PCC Standard. | Afonso Costa, Antoine Dricot, Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2019 | MMSP | Adaptive Multi-level Triangle Soup for Geometry-based Point Cloud Coding. | Antoine Dricot, Joo Ascenso |
| 2018 | ICIP | Rate-Distortion Driven Adaptive Partitioning for Octree-Based Point Cloud Geometry Coding. | Antoine Dricot, Fernando Pereira, Joo Ascenso |
| 2017 | CBMI | Lisbon Landmark Lenslet Light Field Dataset: Description and Retrieval Performance. | Jos Abecasis Teixeira, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2017 | ISM | Rate-Accuracy Optimization of Deep Convolutional Neural Network Models. | Alessandro Filini, Joo Ascenso, Riccardo Leonardi |
| 2017 | ISM | Perceptual Analysis of Perspective Projection for Viewport Rendering in 360° Images. | Falah Jabar, Joo Ascenso, Maria Paula Queluz |
| 2017 | MMSP | Subjective and objective quality evaluation of compressed point clouds. | Alireza Javaheri, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2017 | MMSP | Epipolar based light field key-location detector. | Jos Abecasis Teixeira, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2017 | MMSP | Saliency-driven omnidirectional imaging adaptive coding: Modeling and assessment. | Guilherme Luz Tortorella, Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2016 | ICASSP | Improving SHVC performance with a joint layer coding mode. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2016 | ICASSP | Multi-view distributed source coding of binary features for visual sensor networks. | Nuno Monteiro, Catarina Brites, Fernando Pereira, Joo Ascenso |
| 2015 | ISM | Stereo Based Tracking-by-Detection for Visual Sensor Networks. | Berner Panti, Fernando Pereira, Joo Ascenso |
| 2015 | MMSP | Epipolar plane image based rendering for 3D video coding. | Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2015 | PCS | Improving enhancement layer merge mode for HEVC scalable extension. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2014 | ICIP | Coding binary local features extracted from video sequences. | Luca Baroffio, Joo Ascenso, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi |
| 2014 | ICIP | Enabling visual analysis in wireless sensor networks. | Luca Baroffio, Antonio Canclini, Matteo Cesana, Alessandro Redondi, Marco Tagliasacchi, Gyrgy Dn, Emil Eriksson, Viktoria Fodor, Joo Ascenso, Pedro Monteiro |
| 2014 | ICIP | Local feature selection for efficient binary descriptor coding. | Pedro Monteiro, Joo Ascenso, Fernando Pereira |
| 2014 | MMSP | Correlation modeling for a distributed scalable video codec based on the HEVC standard. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2014 | MMSP | H.264/AVC backward compatible bit-depth scalable video coding. | Vasco Nascimento, Joo Ascenso, Fernando Pereira |
| 2014 | VCIP | Statistical reconstruction for predictive video coding. | Catarina Brites, Vitor Gomes, Joo Ascenso, Fernando Pereira |
| 2014 | VCIP | Optimal reconstruction for a HEVC backward compatible distributed scalable video codec. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2013 | ICIP | Rate-accuracy optimization of binary descriptors. | Alessandro Redondi, Luca Baroffio, Joo Ascenso, Matteo Cesana, Marco Tagliasacchi |
| 2013 | PCS | Improving scalable video coding performance with decoder side information. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2013 | PCS | Clustering based binary descriptor coding for efficient transmission in visual sensor networks. | Pedro Monteiro, Joo Ascenso |
| 2012 | ICIP | Improving predictive video coding performance with decoder side information. | Xiem HoangVan, Joo Ascenso, Fernando Pereira |
| 2012 | PCS | Learning based decoding approach for improved Wyner-Ziv video coding. | Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2012 | SOFTCOM | Impact of the IEEE 802.11n frame aggregation mechanisms on video streaming quality. | Gonalo Barreira, Joo Ascenso |
| 2011 | ICIP | A denoising approach for iterative side information creation in distributed video coding. | Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2011 | ICIP | Low complexity deblocking filter perceptual optimization for the HEVC codec. | Matteo Naccari, Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2011 | MMSP | Augmented LDPC graph for distributed video coding with multiple side information. | Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2009 | PCS | Distributed Video Coding with multiple side information. | Xin Huang, Catarina Brites, Joo Ascenso, Fernando Pereira, Sren Forchhammer |
| 2008 | ICIP | Design and performance of a novel low-density parity-check code for distributed video coding. | Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2007 | ICIP | Adaptive Hash-Based Side Information Exploitation for Efficient Wyner-Ziv Video Coding. | Joo Ascenso, Fernando Pereira |
| 2007 | MMSP | Wyner-Ziv Stereo Video Coding using a Side Information Fusion Approach. | Jos Diogo Areia, Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2007 | PSIVT | Studying the GOP Size Impact on the Performance of a Feedback Channel-Based Wyner-Ziv Video Codec. | Fernando Pereira, Joo Ascenso, Catarina Brites |
| 2006 | ICASSP | Improving Transform Domain Wyner-Ziv Video Coding Performance. | Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2006 | ICASSP | Intra Mode Decision Based on Spatio-Temporal Cues in Pixel Domain Wyner-ZIV Video Coding. | Marco Tagliasacchi, Alan Trapanese, Stefano Tubaro, Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2006 | ICIP | Content Adaptive Wyner-ZIV Video Coding Driven by Motion Activity. | Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2006 | ICIP | Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding. | Catarina Brites, Joo Ascenso, Fernando Pereira |
| 2006 | ICIP | Exploiting Spatial Redundancy in Pixel Domain Wyner-Ziv Video Coding. | Marco Tagliasacchi, Alan Trapanese, Stefano Tubaro, Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2006 | MMSP | Hybrid Distributed Video Coding Using SCA Codes. | Emin Martinian, Anthony Vetro, Jonathan S. Yedidia, Joo Ascenso, Ashish Khisti, Dmitry Malioutov |
| 2005 | AVSS | Motion compensated refinement for low complexity pixel based distributed video coding. | Joo Ascenso, Catarina Brites, Fernando Pereira |
| 2004 | ICIP | Drift reduction for a H.264/AVC fine grain scalability with motion compensation architecture. | Joo Ascenso, Fernando Pereira |