activity
20232026
most citedSegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

10 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

eess.IV2025

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…

cs.CV2025

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…

cs.CV2024

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition

Kaixiang Yang, Qiang Li, Zhiwei Wang

Surgical phase recognition has become a crucial requirement in laparoscopic surgery, enabling various clinical applications like surgical risk forecasting. Current methods typicall…

cs.CV2024

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation

Kaixiang Yang, Wenqi Shan, Xudong Li +6

Multi-modal brain tumor segmentation typically involves four magnetic resonance imaging (MRI) modalities, while incomplete modalities significantly degrade performance. Existing so…

eess.IV2023★ 10 cited

SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

Xiangde Luo, Jia Fu, Yunxin Zhong +39

Radiation therapy is a primary and effective NasoPharyngeal Carcinoma (NPC) treatment strategy. The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is c…