research
∙
09/04/2023
TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
Time-to-Contact (TTC) estimation is a critical task for assessing collis...
share
research
∙
08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
research
∙
11/28/2022
Post-training Quantization on Diffusion Models
Denoising diffusion (score-based) generative models have recently achiev...
research
∙
10/05/2022
Vision+X: A Survey on Multimodal Learning in the Light of Data
We are perceiving and communicating with the world in a multisensory man...
research
∙
08/21/2022
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection
The prosperity of deep learning contributes to the rapid progress in sce...
research
∙
07/17/2022
MLP-GAN for Brain Vessel Image Segmentation
Brain vessel image segmentation can be used as a promising biomarker for...
research
∙
07/09/2022
Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
Safe deployment of time-series classifiers for real-world applications r...
research
∙
04/21/2021
Stable Nonlinear and IQ Imbalance RF Fingerprint for Wireless OFDM Devices
An estimation method of Radio Frequency fingerprint (RFF) based on the p...
research
∙
02/07/2020
Adaptive Deep Metric Embeddings for Person Re-Identification under Occlusions
Person re-identification (ReID) under occlusions is a challenging proble...
research
∙
01/28/2019
Attribute-Guided Sketch Generation
Facial attributes are important since they provide a detailed descriptio...
research
∙
01/14/2019
Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
State-of-the-art methods for image-to-image translation with Generative ...
research
∙
01/30/2018
