216 citations · 270 across the 4 of their papers we have counts for
5 papers
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models
Jesimon Barreto, Carlos Caetano, André Araujo +1
Foundation models have advanced computer vision by enabling strong performance across diverse tasks through large-scale pretraining and supervised fine-tuning. However, they may un…
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints
Carlos Caetano, François Brémond, William Robson Schwartz
In the last years, the computer vision research community has studied on how to model temporal dynamics in videos to employ 3D human action recognition. To that end, two main basel…
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond +2
Due to the availability of large-scale skeleton datasets, 3D human action recognition has recently called the attention of computer vision community. Many works have focused on enc…
Activity Recognition based on a Magnitude-Orientation Stream Network
Carlos Caetano, Victor H. C. de Melo, Jefersson A. dos Santos +1
The temporal component of videos provides an important clue for activity recognition, as a number of activities can be reliably recognized based on the motion information. In view…
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection
Carlos Caetano, Sandra Avila, William Robson Schwartz +2
With the growing amount of inappropriate content on the Internet, such as pornography, arises the need to detect and filter such material. The reason for this is given by the fact…