A5111335733- Multimodal Machine Learning Applications
- Natural Language Processing Techniques
- Video Surveillance and Tracking Methods
- Advanced Graph Neural Networks
- Remote Sensing in Agriculture
- Graph Theory and Algorithms
- Speech and dialogue systems
- Human Pose and Action Recognition
- Impact of Light on Environment and Health
- Machine Learning and Data Classification
- Video Analysis and Summarization
Yunnan University
2024
Wuhan University
2024
Dalian University of Technology
2017
The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by VOT initiative. Results of 51 trackers are presented; many state-of-the-art published at major computer vision conferences or journals in recent years. evaluation included standard and other popular methodologies a new "real-time" experiment simulating situation where processes images as if provided continuously running sensor. Performance tested typically far exceeds baselines. source...
Learning representations with a high Probability of Necessary and Sufficient Causes (PNS) has been shown to enhance deep learning models' ability. This task involves identifying causal features that are both sufficient (guaranteeing the outcome) necessary (without which outcome cannot occur). However, current research predominantly focuses on unimodal data, extending PNS multimodal settings presents significant challenges. The challenges arise as conditions for identifiability, Exogeneity...