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Found 10 papers, 4 papers with code
The Bull and the Bear: Summarizing Stock Market Discussions
We plan to make the dataset publicly available.
Analysis and Control of a Planar Quadrotor
We perform stability analysis of the open loop system and develop a PD controller for its position control.
Memory Guided Road Detection
In self driving car applications, there is a requirement to predict the location of the lane given an input RGB front facing image.
Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications
The goal of this work is to introduce a framework capable of generating photo-realistic videos that have labelled hand bounding box and fingertip that can help in designing, training, and benchmarking models for hand-gesture recognition in AR/VR applications.
Learning Key-Value Store Design
The critical insight and potential long-term impact is that such unifying models 1) render what we consider up to now as fundamentally different data structures to be seen as views of the very same overall design space, and 2) allow seeing new data structure designs with performance properties that are not feasible by existing designs.
GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts
The overall framework works in real-time on mobile devices and achieves a classification accuracy of 80% on EgoGestAR video dataset with an average latency of only 0. 12 s.
AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices
Hand gestures are an intuitive, socially acceptable, and a non-intrusive interaction modality in Mixed Reality (MR) and smartphone based applications.
Human-Computer Interaction
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
We have performed an in-depth analysis to identify limitations in a widely used search space and a recent architecture search method, Differentiable Architecture Search (DARTS).
The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
We show that a mild relaxation of the task and workspace constraints implicit in existing object grasping datasets can cause neural network based grasping algorithms to fail on even a simple block stacking task when executed under more realistic circumstances.
Construction and application of algebraic dual polynomial representations for finite element methods on quadrilateral and hexahedral meshes
It will be shown that a bilinear form of a primal and a dual representation is equal to the vector inner product of the expansion coefficients (degrees of freedom) of both representations.
Numerical Analysis Numerical Analysis
