Search Results for author:
Found 7 papers, 2 papers with code
AIMusicGuru: Music Assisted Human Pose Correction
Pose Estimation techniques rely on visual cues available through observations represented in the form of pixels.
DiffPoseNet: Direct Differentiable Camera Pose Estimation
In this paper, we introduce a network NFlowNet, for normal flow estimation which is used to enforce robust and direct constraints.
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction
In this paper, we present the first framework to segment unknown objects in a cluttered scene by repeatedly 'nudging' at the objects and moving them to obtain additional motion cues at every step using only a monochrome monocular camera.
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
Our network can detect propellers at a rate of 85. 1% even when 60% of the propeller is occluded and can run at upto 35Hz on a 2W power budget.
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of the biological brain.
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera
Segmentation of moving objects in dynamic scenes is a key process in scene understanding for navigation tasks.
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
To our knowledge, this is the first deep learning -- based solution to the problem of dynamic obstacle avoidance using event cameras on a quadrotor.
