Eduardo Pérez-Pellitero

According to our database, Eduardo Pérez-Pellitero authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF.

Sibi Catley-Chandar, Richard Shaw, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

CoRR, 2024

FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction.

Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez-Pellitero, Gerard Pons-Moll

CoRR, 2024

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction.

Zhongqun Zhang, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Hyung Jin Chang, Ales Leonardis

CoRR, 2024

2023

CLAD: A realistic Continual Learning benchmark for Autonomous Driving.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Neural Networks, April, 2023

Deformable 3D Gaussian Splatting for Animatable Human Avatars.

HyunJun Jung, Nikolas Brasch, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Zhihao Li, Nassir Navab, Benjamin Busam

CoRR, 2023

SWAGS: Sampling Windows Adaptively for Dynamic 3D Gaussian Splatting.

Richard Shaw, Jifei Song, Arthur Moreau, Michal Nazarczuk, Sibi Catley-Chandar, Helisa Dhamo, Eduardo Pérez-Pellitero

CoRR, 2023

Reality's Canvas, Language's Brush: Crafting 3D Avatars from Monocular Video.

Yuchen Rao, Eduardo Pérez-Pellitero, Benjamin Busam, Yiren Zhou, Jifei Song

CoRR, 2023

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting.

Helisa Dhamo, Yinyu Nie, Arthur Moreau, Jifei Song, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero

CoRR, 2023

Human Gaussian Splatting: Real-time Rendering of Animatable Avatars.

Arthur Moreau, Jifei Song, Helisa Dhamo, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero

CoRR, 2023

VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.

Youngkyoon Jang, Jiali Zheng, Jifei Song, Helisa Dhamo, Eduardo Pérez-Pellitero, Thomas Tanay, Matteo Maggioni, Richard Shaw, Sibi Catley-Chandar, Yiren Zhou, Jiankang Deng, Ruijie Zhu, Jiahao Chang, Ziyang Song, Jiahuan Yu, Tianzhu Zhang, Khanh-Binh Nguyen, Joon-Sung Yang, Andreea Dogaru, Bernhard Egger, Heng Yu, Aarush Gupta, Joel Julin, László A. Jeni, Hyeseong Kim, Jungbin Cho, Dosik Hwang, Deukhee Lee, Doyeon Kim, Dongseong Seo, SeungJin Jeon, YoungDon Choi, Jun Seok Kang, Ahmet Cagatay Seker, Sang Chul Ahn, Ales Leonardis, Stefanos Zafeiriou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

FlexHDR: Modeling Alignment and Exposure Uncertainties for Flexible HDR Imaging.

Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

IEEE Trans. Image Process., 2022

Self-supervised HDR Imaging from Motion and Exposure Cues.

Michal Nazarczuk, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero

CoRR, 2022

FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.

Sibi Catley-Chandar, Thomas Tanay, Lucas Vandroux, Ales Leonardis, Gregory G. Slabaugh, Eduardo Pérez-Pellitero

CoRR, 2022

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report.

Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results.

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Re-examining Distillation for Continual Object Detection.

Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

HDR Reconstruction from Bracketed Exposures and Events.

Richard Shaw, Sibi Catley-Chandar, Ales Leonardis, Eduardo Pérez-Pellitero

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Model-Based Image Signal Processors via Learnable Dictionaries.

Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Ales Leonardis, Eduardo Pérez-Pellitero

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Residual Contrastive Learning for Joint Demosaicking and Denoising.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

CoRR, 2021

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results.

Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Ales Leonardis, Radu Timofte

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2018

Manifold learning for super resolution.

Eduardo Pérez-Pellitero

PhD thesis, 2018

Photorealistic Video Super Resolution.

Eduardo Pérez-Pellitero, Mehdi S. M. Sajjadi, Michael Hirsch, Bernhard Schölkopf

CoRR, 2018

2016

Antipodally Invariant Metrics for Fast Regression-Based Super-Resolution.

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn

IEEE Trans. Image Process., 2016

Half hypersphere confinement for piecewise linear regression.

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

PSyCo: Manifold Span Reduction for Super Resolution.

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Naive Bayes Super-Resolution Forest.

Jordi Salvador, Eduardo Pérez-Pellitero

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Accelerating Super-Resolution for 4K upscaling.

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Consumer Electronics, 2015

2014

Robust single-image super-resolution using cross-scale self-similarity.

Jordi Salvador, Eduardo Pérez-Pellitero, Axel Kochale

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

An epipolar-constrained prior for efficient search in multi-view scenarios.

Ignacio Bosch, Jordi Salvador, Eduardo Pérez-Pellitero, Javier Ruiz Hidalgo

Proceedings of the 22nd European Signal Processing Conference, 2014

Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing.

Iban Torres-Xirau, Jordi Salvador, Eduardo Pérez-Pellitero

Proceedings of the Computer Vision - ACCV 2014, 2014

Fast Super-Resolution via Dense Local Training and Inverse Regressor Search.

Eduardo Pérez-Pellitero, Jordi Salvador, Iban Torres-Xirau, Javier Ruiz Hidalgo, Bodo Rosenhahn

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Fast single-image super-resolution with filter selection.

Jordi Salvador, Eduardo Pérez-Pellitero, Axel Kochale

Proceedings of the IEEE International Conference on Image Processing, 2013

Bayesian region selection for adaptive dictionary-based Super-Resolution.

Eduardo Pérez-Pellitero, Jordi Salvador, Javier Ruiz Hidalgo, Bodo Rosenhahn

Proceedings of the British Machine Vision Conference, 2013