Jesus Zarzar

According to our database, Jesus Zarzar authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

UnCommon Objects in 3D.

Xingchen Liu, Piyush Tayal, Jianyuan Wang, Jesus Zarzar, Tom Monnier, Konstantinos Tertikas, Jiali Duan, Antoine Toisoul, Jason Y. Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný

CoRR, January, 2025

2024

Deep Learning at the Intersection: Certified Robustness as a Tool for 3D Vision.

Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Jesus Zarzar, Sara Rojas, Bernard Ghanem, Pablo Arbeláez

CoRR, 2024

SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation.

Jesus Zarzar, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks.

Jinjie Mai, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Enhancing Neural Rendering Methods with Image Augmentations.

Juan C. Pérez, Sara Rojas, Jesus Zarzar, Bernard Ghanem

CoRR, 2023

Re-ReND: Real-time Rendering of NeRFs across Devices.

Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem

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

2022

SegNeRF: 3D Part Segmentation with Neural Radiance Fields.

Jesus Zarzar, Sara Rojas, Silvio Giancola, Bernard Ghanem

CoRR, 2022

2019

PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement.

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

CoRR, 2019

Efficient Tracking Proposals using 2D-3D Siamese Networks on LIDAR.

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

CoRR, 2019

Leveraging Shape Completion for 3D Siamese Tracking.

Silvio Giancola, Jesus Zarzar, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019