Search Results for author:
Found 10 papers, 1 papers with code
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents
By incorporating geometry information from visual documents into our model, richer 2D context information is generated to improve document representations.
Explore the difficulty of words and its influential attributes based on the Wordle game
Afterwards, we take advantage of lasso regression to predict the deviation of guessing times expectation and quadratic programming to obtain the correction of the original distribution. To predict the difficulty levels, we first use hierarchical clustering to classify the difficulty levels based on the expectation of guessing times.
See Your Heart: Psychological states Interpretation through Visual Creations
Dataset analysis illustrates that SpyIn is not only able to support VEIT, but also more challenging compared with other captioning datasets.
Feature Prediction Diffusion Model for Video Anomaly Detection
Motivated by the impressive generative and anti-noise capacity of diffusion model (DM), in this work, we introduce a novel DM-based method to predict the features of video frames for anomaly detection.
Ranked #8 on
Anomaly Detection
on UBnormal
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
This technical report presents an effective method for motion prediction in autonomous driving.
Ranked #12 on
Motion Forecasting
on Argoverse CVPR 2020
Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing
To address these problems, we develop the ensemble learning priors to further improve the reconstruction accuracy and propose the scalable learning to empower deep learning the scalability just like the traditional algorithm.
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction
Detectors with high coverage have direct and far-reaching benefits for road users in route planning and avoiding traffic congestion, but utilizing these data presents unique challenges including: the dynamic temporal correlation, and the dynamic spatial correlation caused by changes in road conditions.
Geographic Spillover Effects of Prescription Drug Monitoring Programs (PDMPs)
We find that electronic PDMP implementation, whereby doctors and pharmacists can observe a patient's opioid purchase history, reduces a state's opioid sales but increases opioid sales in neighboring counties on the other side of the state border.
The OxyContin Reformulation Revisited: New Evidence From Improved Definitions of Markets and Substitutes
Using a novel and fine-grained source of all oxycodone sales from 2006-2014, we show that the reformulation led users to substitute from OxyContin to generic oxycodone, and the reformulation had no overall impact on opioid or heroin mortality.
Continuous Trajectory Planning Based on Learning Optimization in High Dimensional Input Space for Serial Manipulators
To continuously generate trajectories for serial manipulators with high dimensional degrees of freedom (DOF) in the dynamic environment, a real-time optimal trajectory generation method based on machine learning aiming at high dimensional inputs is presented in this paper.
