(Including but not limited to the following topics)
Theme One: Deep Learning
Super-resolution image/video generation based on diffusion models
Joint representation learning of multimodal large models (CLIP/BERN)
3D Convolutional Neural Network Optimization for Video Behavior Recognition
NeRF Dynamic Scene Reconstruction and real-time Rendering acceleration
Media edge inference of lightweight models (MobileNet/YOLO)
Basic algorithms of deep learning
The frequency-domain detection algorithm of Deepfake
Design of end-to-end Encrypted Multimedia Communication Protocol
Privacy-preserving media analysis driven by federated learning
Watermark embedding and extraction technology for multimedia content traceability
Media processing acceleration based on TEE (Trusted Execution Environment)
Deep learning in computer vision
The combination of natural language processing and vision
Joint learning and privacy protection
Self-supervised and unsupervised learning
Interpretability of deep learning models
Edge computing
Other related topics are also acceptable
Theme Two: Multimedia Communication and Applications
Efficient Video Coding (VVC/AV1) in 6G/B5G networks
Congestion control algorithm for ultra-low latency streaming media transmission
Spatio-temporal synchronization protocol for multimodal data (LiDAR/ Video /IMU)
Semantic communication-driven cross-modal information compression and reconstruction
Edge computing-enabled distributed media caching strategy
Lesion segmentation algorithm for multimodal medical imaging (CT/MR)
Multi-sensor (camera/radar) fusion calibration technology for autonomous driving
Design of Deep Learning Vision System for Industrial Defect Detection
Real-time SLAM and virtual-real interaction optimization in VR/AR
Multispectral target detection of unmanned aerial vehicle remote sensing images
Other multimedia cross-disciplinary engineering applications, etc