TensorNetwork is an open source library for implementing tensor network algorithms.
We start with predicted 2D keypoints for unlabeled video, then estimate 3D poses and finally back-project to the input 2D keypoints.
#10 best model for 3D Human Pose Estimation on Human3.6M
Model efficiency has become increasingly important in computer vision.
SOTA for Object Detection on COCO 2017 (mAP metric )
Neural Tangents is a library designed to enable research into infinite-width neural networks.
We present Kaolin, a PyTorch library aiming to accelerate 3D deep learning research.
This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language understanding and generation tasks.
SOTA for Text Summarization on GigaWord (using extra training data)
In this paper, we propose a Bayesian temporal factorization (BTF) framework for modeling multidimensional time series---in particular spatiotemporal data---in the presence of missing values.
Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.