JX
Publications
- A Spatiotemporal Multi-Channel Learning Framework for Automatic Modulation Recognition
- An Adaptive Multi-Scale and Multi-Level Features Fusion Network with Perceptual Loss for Change Detection
- Adversarial scale-adaptive neural network for crowd counting
- Remote Sensing Change Detection Based on Multidirectional Adaptive Feature Fusion and Perceptual Similarity
- An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation
- An Autoencoder-based I/Q Channel Interaction Enhancement Method for Automatic Modulation Recognition
- VISUALWIND: A NOVEL VIDEO DATASET FOR CAMERAS TO SENSE THE WIND
- Deep learning based automatic modulation recognition: Models, datasets, and challenges
- See the wind: Wind scale estimation with optical flow and VisualWind dataset
- Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
- An Autoencoder-Based I/Q Channel Interaction Enhancement Method for Automatic Modulation Recognition
- Regressing Simulation to Real: Unsupervised Domain Adaptation for Automated Quality Assessment in Transoesophageal Echocardiography
- Privileged Modality Learning Via Multimodal Hallucination
- An efficient deep learning model for automatic modulation recognition based on parameter estimation and transformation
- OH-former: Omni-relational high-order transformer for person re-identification
- Oh-Former: Omni-Relational High-Order Transformer for Occluded Person Re-Identification
- A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove
- Think Step by Step: Chain-of-Gesture Prompting for Error Detection in Robotic Surgical Videos
- SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted Surgery
