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Found 7 papers, 0 papers with code
OAKINK2: A Dataset of Bimanual Hands-Object Manipulation in Complex Task Completion
Based on the 3-level abstraction of OAKINK2, we explore a task-oriented framework for Complex Task Completion (CTC).
Wildfire Detection Via Transfer Learning: A Survey
This paper surveys different publicly available neural network models used for detecting wildfires using regular visible-range cameras which are placed on hilltops or forest lookout towers.
Exploit Customer Life-time Value with Memoryless Experiments
As a measure of the long-term contribution produced by customers in a service or product relationship, life-time value, or LTV, can more comprehensively find the optimal strategy for service delivery.
Smart obervation method with wide field small aperture telescopes for real time transient detection
The ARGUS uses a deep learning based astronomical detection algorithm implemented in embedded devices in each WFSATs to detect astronomical targets.
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation
Previous works of this topic consider music-to-dance as a supervised motion generation problem based on time-series data.
Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective
To maximize cumulative user engagement (e. g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e. g., click-through rate) and encouraging user browsing (i. e., more items exposured).
Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks
In this paper, we propose two transient classification methods based on neural networks.
