23 citations · 31 across the 6 of their papers we have counts for
6 papers
InstantGeoAvatar: Effective Geometry and Appearance Modeling of Animatable Avatars from Monocular Video
Alvaro Budria, Adrian Lopez-Rodriguez, Oscar Lorente +1
We present InstantGeoAvatar, a method for efficient and effective learning from monocular video of detailed 3D geometry and appearance of animatable implicit human avatars. Our key…
Video Surveillance for Road Traffic Monitoring
Pol Albacar, Òscar Lorente, Eduard Mainou +1
This paper presents the learned techniques during the Video Analysis Module of the Master in Computer Vision from the Universitat Autònoma de Barcelona, used to solve the third tra…
Scene Understanding for Autonomous Driving
Òscar Lorente, Ian Riera, Aditya Rana
To detect and segment objects in images based on their content is one of the most active topics in the field of computer vision. Nowadays, this problem can be addressed using Deep…
Image Classification with Classic and Deep Learning Techniques
Òscar Lorente, Ian Riera, Aditya Rana
To classify images based on their content is one of the most studied topics in the field of computer vision. Nowadays, this problem can be addressed using modern techniques such as…
Museum Painting Retrieval
Òscar Lorente, Ian Riera, Shauryadeep Chaudhuri +2
To retrieve images based on their content is one of the most studied topics in the field of computer vision. Nowadays, this problem can be addressed using modern techniques such as…
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks
Òscar Lorente, Josep R. Casas, Santiago Royo +1
Detecting pedestrians is a crucial task in autonomous driving systems to ensure the safety of drivers and pedestrians. The technologies involved in these algorithms must be precise…