Showing 2026Show all
3 papers · 1 filter
cs.CV2026
ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
Hanpeng Liu, Yaqian Li, Zidan Wang +6
Image--text contrastive pretraining has become a dominant paradigm for visual representation learning, yet existing methods often yield representations that remain partially organi…
cs.CV2026
iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding
Hanpeng Liu, Yaqian Li, Zidan Wang +5
Despite the success of Large Vision--Language Models (LVLMs), most existing architectures suffer from a representation bottleneck: they rely on static, instruction-agnostic vision…
cs.CV2026
Separators in Enhancing Autoregressive Pretraining for Vision Mamba
Hanpeng Liu, Zidan Wang, Shuoxi Zhang +2
The state space model Mamba has recently emerged as a promising paradigm in computer vision, attracting considerable attention for its efficient handling of long-sequence tasks. It…