research
∙
06/15/2023
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
In this paper, we propose a novel text promptable surgical instrument se...
share
research
∙
03/28/2023
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
Panoptic Scene Graph generation (PSG) is a recently proposed task in ima...
research
∙
12/28/2021
Deep neural networks for solving forward and inverse problems of (2+1)-dimensional nonlinear wave equations with rational solitons
In this paper, we investigate the forward problems on the data-driven ra...
research
∙
11/18/2021
Data-driven discovery of Bäcklund transforms and soliton evolution equations via deep neural network learning schemes
We introduce a deep neural network learning scheme to learn the Bäcklund...
research
∙
11/17/2021
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Recently, Truncated Quantile Critics (TQC), using distributional represe...
research
∙
04/30/2021
Deep learning neural networks for the third-order nonlinear Schrodinger equation: Solitons, breathers, and rogue waves
The third-order nonlinear Schrodinger equation (alias the Hirota equatio...
research
∙
03/01/2021
GEBT: Drawing Early-Bird Tickets in Graph Convolutional Network Training
Graph Convolutional Networks (GCNs) have emerged as the state-of-the-art...
research
∙
01/15/2021
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Using a high Update-To-Data (UTD) ratio, model-based methods have recent...
research
∙
10/03/2020
Gaussian Vector: An Efficient Solution for Facial Landmark Detection
Significant progress has been made in facial landmark detection with the...
research
∙
10/27/2019
