Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, Hyperspectral imaging, Pattern recognition (psychology), Remote sensing, and Transformer.
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning
DualMamba: A Lightweight Spectral–Spatial Mamba-Convolution Network for Hyperspectral Image Classification
Exploring Multi-Timestep Multi-Stage Diffusion Features for Hyperspectral Image Classification
Hyperspectral Image Classification Using Spectral–Spatial Token Enhanced Transformer With Hash-Based Positional Embedding
Performance-Aware Approximation of Global Channel Pruning for Multitask CNNs
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction
$\beta$-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
What Makes for Effective Few-shot Point Cloud Classification?
SC-EADNet: A Self-Supervised Contrastive Efficient Asymmetric Dilated Network for Hyperspectral Image Classification