Search Results for author:
Found 12 papers, 4 papers with code
Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing
The amount and quality of datasets and tools available in the research field of hand pose and shape estimation act as evidence to the significant progress that has been made. However, even the datasets of the highest quality, reported to date, have shortcomings in annotation.
Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics
It offers higher bandwidth than event-driven plasticity alone and achieves a 1. 5x-2x speedup over our closest competitor.
H-GAN: the power of GANs in your Hands
Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
Multi-GPU SNN Simulation with Static Load Balancing
We present a SNN simulator which scales to millions of neurons, billions of synapses, and 8 GPUs.
Faster and Simpler SNN Simulation with Work Queues
We present a clock-driven Spiking Neural Network simulator which is up to 3x faster than the state of the art while, at the same time, being more general and requiring less programming effort on both the user's and maintainer's side.
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
On top of this representation, we design, implement and evaluate ReActNet, a lightweight convolutional neural network that classifies a given frame as belonging (or not) to a repetitive video segment.
Accurate Hand Keypoint Localization on Mobile Devices
We present a novel approach for 2D hand keypoint localization from regular color input.
Learning to Infer the Depth Map of a Hand from its Color Image
We propose the first approach to the problem of inferring the depth map of a human hand based on a single RGB image.
HANDS18: Methods, Techniques and Applications for Hand Observation
The fourth instantiation of this workshop attracted significant interest from both academia and the industry.
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Ranked #5 on
Hand Pose Estimation
on HANDS 2017
Using a single RGB frame for real time 3D hand pose estimation in the wild
We present a method for the real-time estimation of the full 3D pose of one or more human hands using a single commodity RGB camera.
Evolutionary Quasi-random Search for Hand Articulations Tracking
The method has been tested for the problems of tracking the articulation of a single hand (27D parameter space) and two hands (54D space).
