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Found 15 papers, 2 papers with code
ShapeCraft: Body-Aware and Semantics-Aware 3D Object Design
In this work, we present a method to synthesize body-aware 3D objects from a base mesh given an input body geometry and either text or image as guidance.
Learning to Design and Use Tools for Robotic Manipulation
A designer policy is conditioned on task information and outputs a tool design that helps solve the task.
Learning Object-Centric Neural Scattering Functions for Free-Viewpoint Relighting and Scene Composition
We propose Object-Centric Neural Scattering Functions (OSFs) for learning to reconstruct object appearance from only images.
Differentiable Physics Simulation of Dynamics-Augmented Neural Objects
A robot can use this simulation to optimize grasps and manipulation trajectories of neural objects, or to improve the neural object models through gradient-based real-to-simulation transfer.
Universal Controllers with Differentiable Physics for Online System Identification
In addition, we perform two studies showing that UC-DiffOSI operates well in environments with changing or unknown dynamics.
Object-Centric Neural Scene Rendering
We present a method for composing photorealistic scenes from captured images of objects.
End-to-End Spoken Language Translation
In this paper, we address the task of spoken language understanding.
Audio-Linguistic Embeddings for Spoken Sentences
We propose spoken sentence embeddings which capture both acoustic and linguistic content.
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images
Computer-vision hospital systems can greatly assist healthcare workers and improve medical facility treatment, but often face patient resistance due to the perceived intrusiveness and violation of privacy associated with visual surveillance.
Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions
This technology could be deployed to cell phones worldwide and facilitate low-cost universal access to mental health care.
Neural Graph Matching Networks for Fewshot 3D Action Recognition
We propose Neural Graph Matching (NGM) Networks, a novel framework that can learn to recognize a previous unseen 3D action class with only a few examples.
Ranked #1 on
Skeleton Based Action Recognition
on CAD-120
Dynamic Task Prioritization for Multitask Learning
We propose dynamic task prioritization for multitask learning.
Conditional End-to-End Audio Transforms
We present an end-to-end method for transforming audio from one style to another.
Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance
One in twenty-five patients admitted to a hospital will suffer from a hospital acquired infection.
Knowledge Distillation for Small-footprint Highway Networks
We have shown that HDNN-based acoustic models can achieve comparable recognition accuracy with much smaller number of model parameters compared to plain deep neural network (DNN) acoustic models.
