3 papers
cs.CV2026
DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
Shicheng Yin, Kaixuan Yin, Weixing Chen +3
World models are essential for autonomous robotic planning. However, the substantial computational overhead of existing dense Transformerbased models significantly hinders real-tim…
cs.CV2025
DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Foundation Models
Shicheng Yin, Kaixuan Yin, Yang Liu +2
The content-agnostic, fixed-grid tokenizers used by standard large-scale vision models like Vision Transformer (ViT) and Vision Mamba (Vim) represent a fundamental performance bott…
cs.CV2024
VisionGRU: A Linear-Complexity RNN Model for Efficient Image Analysis
Shicheng Yin, Kaixuan Yin, Weixing Chen +2
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) are two dominant models for image analysis. While CNNs excel at extracting multi-scale features and ViTs effecti…