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Name: Meta Research
Type: Organization
Location: Menlo Park, California
Name: Meta Research
Type: Organization
Location: Menlo Park, California
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2.5D visual sound
When told to understand the shape of a new object, the most instinctual approach is to pick it up and inspect it with your hand and eyes in tandem. Here, touch provides high fidelity localized information while vision provides complementary global context. However, in 3D shape reconstruction, the complementary fusion of visual and haptic modalities remains largely unexplored. In this paper, we study this problem and present an effective chart-based approach to fusing vision and touch, which leverages advances in graph convolutional networks. To do so, we introduce a dataset of simulated touch and vision signals from the interaction between a robotic hand and a large array of 3D objects. Our results show that (1) leveraging both vision and touch signals consistently improves single-modality baselines, especially when the object is occluded by the hand touching it; (2) our approach outperforms alternative modality fusion methods and strongly benefits from the proposed chart-based structure; (3) reconstruction quality boosts with the number of grasps provided; and (4) the touch information not only enhances the reconstruction at the touch site but also extrapolates to its local neighborhood.
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
An auralisation system that takes a head-worn microphone array recordings as input and renders the audio for binaural playback; taking into account both the listener's head-orientation and relative position from the recording point.
Data & Code for ACCENTOR: "Adding Chit-Chat to Enhance Task-Oriented Dialogues" (NAACL 2021)
Code to reproduce the experiments from the paper.
Meta’s Anonymous Credential Service (ACS) is designed to enable it to authenticate users in a “de-identified manner,” permitting access to services without gathering any data that could be used to identify the subject’s identity.
ACT An Architectural Carbon Modeling Tool for Designing Sustainable Computer Systems
A repository for the paper Active 3D Shape Reconstruction from Vision and Touch and robotic touch simulator package.
Active Acquisition for fastMRI
Official implementation of "Active Image Indexing"
A Dataset for Grounded Video Description
GitHub repository of commonly used python scripts that allows everyone to pull data via the Ad Library API
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
Transformer training code for sequential tasks
Experimental scripts for researching data adaptive learning rate scheduling.
This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"
Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
Implementation for the paper "Adversarial Continual Learning" in PyTorch.
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".
AEPsych is a tool for adaptive experimentation in psychophysics and perception research, built on top of gpytorch and botorch.
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
AgentHive provides the primitives and helpers for a seamless usage of robohive within TorchRL.
Code release for "Avatars Grow Legs Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model", CVPR 2023
Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
Anytime Learning At Macroscale
AlphaNet Improved Training of Supernet with Alpha-Divergence
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.