Biography
Dr. João Henriques is a Research Fellow of the Royal Academy of Engineering, working at the Visual Geometry Group (VGG) at the University of Oxford. His research focuses on computer vision and deep learning, with the goal of making machines more perceptive, intelligent and capable of helping people. He created the KCF and SiameseFC visual object trackers, which won the highly competitive VOT Challenge twice, and are widely deployed in consumer hardware, from Facebook apps to commercial drones. His research spans many topics: robot mapping and navigation, including reinforcement learning and 3D geometry; multi-agent cooperation and "friendly" AI; as well as various forms of learning, from self-supervised, causal, and meta-learning, including optimisation theory. For the latest research please refer to: https://www.robots.ox.ac.uk/~joao/
Most Recent Publications
Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
CRAM: large-scale video continual learning with bootstrapped compression
CRAM: large-scale video continual learning with bootstrapped compression
On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes
Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Most Recent Publications
Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language
CRAM: large-scale video continual learning with bootstrapped compression
CRAM: large-scale video continual learning with bootstrapped compression
On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
On the Dangers of Bootstrapping Generation for Continual Learning and Beyond
Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes
Trafficloc: Localizing Traffic Surveillance Cameras in 3D Scenes
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans
Rapidvol: Rapid Reconstruction of 3D Ultrasound Volumes from Sensorless 2D Scans