research
∙
08/02/2023
Feature-aware conditional GAN for category text generation
Category text generation receives considerable attentions since it is be...
share
research
∙
08/02/2023
Particle swarm optimization with state-based adaptive velocity limit strategy
Velocity limit (VL) has been widely adopted in many variants of particle...
research
∙
08/01/2023
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress
The dual active bridge (DAB) converter has been popular in many applicat...
research
∙
08/01/2023
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency
Dual active bridge (DAB) converter is the key enabler in many popular ap...
research
∙
07/07/2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
For many real-world time series tasks, the computational complexity of p...
research
∙
03/18/2023
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation
Continuous Video Domain Adaptation (CVDA) is a scenario where a source m...
research
∙
04/13/2022
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation
Assuming the source label space subsumes the target one, Partial Video D...
research
∙
09/26/2021
Self-Supervised Video Representation Learning by Video Incoherence Detection
This paper introduces a novel self-supervised method that leverages inco...
research
∙
07/11/2021
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
Partial Domain Adaptation (PDA) is a practical and general domain adapta...
research
∙
07/11/2021
Aligning Correlation Information for Domain Adaptation in Action Recognition
Domain adaptation (DA) approaches address domain shift and enable networ...
research
∙
08/26/2020
Effective Action Recognition with Embedded Key Point Shifts
Temporal feature extraction is an essential technique in video-based act...
research
∙
06/09/2020
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition
Long-range spatiotemporal dependencies capturing plays an essential role...
research
∙
06/06/2020
ARID: A New Dataset for Recognizing Action in the Dark
The task of action recognition in dark videos is useful in various scena...
research
∙
05/06/2020
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition
Temporal feature extraction is an important issue in video-based action ...
research
∙
10/07/2019
