Search Results for author:
Found 6 papers, 4 papers with code
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Over the past decade, the dominance of deep learning has prevailed across various domains of artificial intelligence, including natural language processing, computer vision, and biomedical signal processing.
Location-Aware Visual Question Generation with Lightweight Models
This work introduces a novel task, location-aware visual question generation (LocaVQG), which aims to generate engaging questions from data relevant to a particular geographical location.
QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory Prediction
For the first time, we show that a joint prediction model can outperform marginal prediction models even on the marginal metrics, which opens up new research opportunities in trajectory prediction.
Query-Centric Trajectory Prediction
A refinement module then takes the trajectory proposals as anchors and leverages anchor-based queries to refine the trajectories further.
Ranked #2 on
Motion Forecasting
on Argoverse CVPR 2020
The Development of Spatial Attention U-Net for The Recovery of Ionospheric Measurements and The Extraction of Ionospheric Parameters
From the recovered signals, we determine the critical frequencies of F2o and F2x and the intersection frequency between the two signals.
Multi-Augmentation for Efficient Visual Representation Learning for Self-supervised Pre-training
In recent years, self-supervised learning has been studied to deal with the limitation of available labeled-dataset.
