1

UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks
The development of multi-modal Unmanned Aerial Vehicles (UAVs) environment perception systems is hindered by three critical gaps in …
PDF
UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks
RemoteSAM: Towards Segment Anything for Earth Observation
We aim to develop a robust yet flexible visual foundation model for Earth observation. It should possess strong capabilities in …
PDF
RemoteSAM: Towards Segment Anything for Earth Observation
Making Large Vision Language Models to Be Good Few-Shot Learners
Few-shot classification (FSC) is a fundamental yet challenging task in computer vision that involves recognizing novel classes from …
DOI
Making Large Vision Language Models to Be Good Few-Shot Learners
MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset
In this paper, we construct a large-scale Multi-modal E-commerce Products classification dataset MEP-3M, which consists of over 3 million products and 599 fine-grained product categories. This paper won Best Dataset Paper award.
PDF Cite Code
MEP-3M: A Large-scale Multi-modal E-Commerce Products Dataset
VirtualConductor: Music-driven Conducting Video Generation System
In this demo, we present the VirtualConductor, a system that can generate conducting video from a given piece of music and a single user’s image. This demo won the ICME 2021 Best Demo award.
PDF Cite Video
VirtualConductor: Music-driven Conducting Video Generation System
Significant Wave Height Prediction based on Wavelet Graph Neural Network
In this paper, we focus on enabling the deep learning model to learn both short-term and long-term spatial-temporal dependencies for Significant Wave Height (SWH) prediction. A Wavelet Graph Neural Network (WGNN) approach is proposed. This paper won the BDAI 2021 Best Presentation award.
PDF Cite
Significant Wave Height Prediction based on Wavelet Graph Neural Network