MAPLE ENPOWERS INTELLIGENCE!
Machine Perception & Learning (MAPLE) LabOur mission is to enable machines to perceive and understand the real world, so they can intelligently generate multimodal contents and robustly perform in challenging tasks.
- Machine Perception: data acquisition and processing
- Artificial Intelligence: Multimodal Content Generation and Interactions
Machine Learning
We conduct researches on probabilistic learning and inference, kernel methods and deep Learning, esp. Multimodal Deep Networks
Computer Vision
We work on a wide range of computer vision problems including visual scene understanding, video analysis and understanding and multimodal data analysis
Artificial Intellgience
We are interested in building highly-efficient AI models to enable content generation, understanding and multimodal interactions
Welcome
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In what are we interested?
- Machine Learning and Pattern Recognition
- Computer Vision and Multimedia Computing
- Artificial Intelligence for Multimodal Content Generation and Interaction
- Data Mining and Knowledge Discovery
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What are we doing?
- Regularized Generative Adversarial Nets and Applications
- Learning Transformation Equivariant Representations
- Diffusion model and AIGC for 2D/3D/Multimodal data
- Small Data Challenges in Big Data Era
- Time-Series Analysis and Applications
- Perception, Control, Decision-Making and Optimization in Smart City
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Keep updated about our progress