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Found 13 papers, 3 papers with code
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.
Twitch Plays Pokemon, Machine Learns Twitch: Unsupervised Context-Aware Anomaly Detection for Identifying Trolls in Streaming Data
With the increasing importance of online communities, discussion forums, and customer reviews, Internet "trolls" have proliferated thereby making it difficult for information seekers to find relevant and correct information.
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference
Homomorphic encryption enables arbitrary computation over data while it remains encrypted.
Cryptography and Security
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.
Dynamic Task Prioritization for Multitask Learning
We propose dynamic task prioritization for multitask learning.
Automatic Documentation of ICD Codes with Far-Field Speech Recognition
In this paper, we propose to automatically document ICD codes with far-field speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
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.
Recurrent Attention Models for Depth-Based Person Identification
We present an attention-based model that reasons on human body shape and motion dynamics to identify individuals in the absence of RGB information, hence in the dark.
Towards Viewpoint Invariant 3D Human Pose Estimation
We propose a viewpoint invariant model for 3D human pose estimation from a single depth image.
Ranked #4 on
Pose Estimation
on ITOP top-view
RGB-W: When Vision Meets Wireless
Inspired by the recent success of RGB-D cameras, we propose the enrichment of RGB data with an additional "quasi-free" modality, namely, the wireless signal (e. g., wifi or Bluetooth) emitted by individuals' cell phones, referred to as RGB-W.
