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Found 7 papers, 3 papers with code
Jointly learning visual motion and confidence from local patches in event cameras
In the task of recovering pan-tilt ego velocities from events, we show that each individual confident local prediction of our network can be expected to be as accurate as state of the art optimization approaches which utilize the full image.
EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks
Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to standard CMOS-based imagers.
KUIELab-MDX-Net: A Two-Stream Neural Network for Music Demixing
This paper proposes a two-stream neural network for music demixing, called KUIELab-MDX-Net, which shows a good balance of performance and required resources.
Ranked #7 on
Music Source Separation
on MUSDB18
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
In this paper, we introduce the phenomenon of the Leaky Surface Wave (LSW), a novel sensing modality, and present AuraSense, a proximity detection system using the LSW.
Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation
Singing Voice Separation (SVS) tries to separate singing voice from a given mixed musical signal.
Higher Order Function Networks for View Planning and Multi-View Reconstruction
In contrast to offline methods which require a 3D model of the object as input or online methods which rely on only local measurements, our method uses a neural network which encodes shape information for a large number of objects.
Geometric Nonlinear PID Control of a Quadrotor UAV on SE(3)
Nonlinear PID control systems for a quadrotor UAV are proposed to follow an attitude tracking command and a position tracking command.
Optimization and Control
