5 papers
Bio-inspired Color Constancy: From Gray Anchoring Theory to Gray Pixel Methods
Kai-Fu Yang, Fu-Ya Luo, Yong-Jie Li
Color constancy is a fundamental ability of many biological visual systems and a crucial step in computer imaging systems. Bio-inspired modeling offers a promising way to elucidate…
FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing
Kaixiang Yang, Boyang Shen, Xin Li +6
Text-guided image editing has advanced rapidly with the rise of diffusion models. While flow-based inversion-free methods offer high efficiency by avoiding latent inversion, they o…
Bidirectional Mammogram View Translation with Column-Aware and Implicit 3D Conditional Diffusion
Xin Li, Kaixiang Yang, Qiang Li +1
Dual-view mammography, including craniocaudal (CC) and mediolateral oblique (MLO) projections, offers complementary anatomical views crucial for breast cancer diagnosis. However, i…
Joint Holistic and Lesion Controllable Mammogram Synthesis via Gated Conditional Diffusion Model
Xin Li, Kaixiang Yang, Qiang Li +1
Mammography is the most commonly used imaging modality for breast cancer screening, driving an increasing demand for deep-learning techniques to support large-scale analysis. Howev…
CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition
Kaixiang Yang, Xin Li, Qiang Li +1
Anticipating and recognizing surgical workflows are critical for intelligent surgical assistance systems. However, existing methods rely on deterministic decision-making, strugglin…