Search Results for author:
Found 8 papers, 3 papers with code
Semantic Hearing: Programming Acoustic Scenes with Binaural Hearables
To achieve this, we make two technical contributions: 1) we present the first neural network that can achieve binaural target sound extraction in the presence of interfering sounds and background noise, and 2) we design a training methodology that allows our system to generalize to real-world use.
Real-Time Target Sound Extraction
We present the first neural network model to achieve real-time and streaming target sound extraction.
Ranked #1 on
Streaming Target Sound Extraction
on FSDSoundScapes
NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
Our idea is to design a dual-mode camera system where the first mode is low-power (1. 1 mW) but only outputs grey-scale, low resolution, and noisy video and the second mode consumes much higher power (100 mW) but outputs color and higher resolution images.
Colorization
Key-Frame-based Video Super-Resolution (K = 15)
+1
Hybrid Neural Networks for On-device Directional Hearing
On-device directional hearing requires audio source separation from a given direction while achieving stringent human-imperceptible latency requirements.
Ranked #1 on
Real-time Directional Hearing
on VCTK
Identifying Pediatric Vascular Anomalies With Deep Learning
To address this problem, we developed a convolutional neural network (CNN) to automatically classify images of vascular anomalies and other pediatric skin conditions to aid physicians with diagnosis.
TinySDR: Low-Power SDR Platform for Over-the-Air Programmable IoT Testbeds
Wireless protocol design for IoT networks is an active area of research which has seen significant interest and developments in recent years.
Signal Processing Networking and Internet Architecture
Ultra-low-power Wireless Streaming Cameras
We prototype our wireless camera using off-the-shelf hardware and show that our design can stream video at up to 13 FPS and can operate up to a distance of 150 feet from the access point.
Wi-Fi Gesture Recognition on Existing Devices
This paper introduces the first wireless gesture recognition system that operates using existingWi-Fi signals and devices.
Human-Computer Interaction
