We investigate the problem of Object State Classification (OSC) as a
zer...
Reconstructing 3D human pose and shape from monocular videos is a
well-s...
We present a novel approach for the visual prediction of human-object
in...
The detection of object states in images (State Detection - SD) is a pro...
Vision transformer architectures have been demonstrated to work very
eff...
We present two novel optimizations that accelerate clock-based spiking n...
We present HandGAN (H-GAN), a cycle-consistent adversarial learning appr...
We present a SNN simulator which scales to millions of neurons, billions...
The ability to predict, anticipate and reason about future outcomes is a...
Object perception is a fundamental sub-field of Computer Vision, coverin...
We present a clock-driven Spiking Neural Network simulator which is up t...
We address the problem of temporal localization of repetitive activities...
We present a novel approach for 2D hand keypoint localization from regul...
We propose the first approach to the problem of inferring the depth map ...
This report outlines the proceedings of the Fourth International Worksho...
This paper presents the case study of a non-intrusive porting of a monol...
In this paper, we strive to answer two questions: What is the current st...
We present a method for the real-time estimation of the full 3D pose of ...
We present a novel solution to the problem of 3D tracking of the articul...