activity
20232026
collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2026

SVI360: Spherical Video Interpolation

Le-Kim Nguyen, Renato Martins, Pascal Vasseur +1

This paper addresses the problem of omnidirectional video interpolation, which plays an essential role in applications such as virtual reality and immersive video enhancement. Exis…

cs.CV2026

Cross-Domain Human Action Recognition from Multiview Motion and Textual Descriptions

Yannick Porto, Renato Martins, Thomas Chalumeau +1

Robustness to domain changes is a key capability for effective deployment of human action recognition systems in real-world scenarios, where action categories at inference can pres…

cs.CV2026

Improving Viewpoint-Invariance and Temporal Consistency for Action Detection

Yannick Porto, Renato Martins, Thomas Chalumeau +1

Viewpoint change invariance and action temporal consistency are critical aspects for the effective deployment of human action detection of untrimmed videos. Existing appearance-bas…

cs.CV2026

Adverse-to-the-eXtreme Panoptic Segmentation: URVIS 2026 Study and Benchmark

Yiting Wang, Nolwenn Peyratout, Tim Brodermann +13

This paper presents the report of the URVIS 2026 challenge on adverse-to-extreme panoptic segmentation. As the first challenge of its kind, it attracted 17 registered participants…

cs.CV2024

Dense Scene Reconstruction from Light-Field Images Affected by Rolling Shutter

Hermes McGriff, Renato Martins, Nicolas Andreff +1

This paper presents a dense depth estimation approach from light-field (LF) images that is able to compensate for strong rolling shutter (RS) effects. Our method estimates RS compe…

cs.CV2024

Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence

Felipe Cadar, Guilherme Potje, Renato Martins +2

Visual correspondence is a crucial step in key computer vision tasks, including camera localization, image registration, and structure from motion. The most effective techniques fo…

cs.CV2023

Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images

Hermes McGriff, Renato Martins, Nicolas Andreff +1

In this paper, we propose an approach to address the problem of 3D reconstruction of scenes from a single image captured by a light-field camera equipped with a rolling shutter sen…