8 papers · 1 filter
SurgSkill-Bench: A Benchmark for Multimodal Surgical Skill Assessment
Chaohui Dang, Zheheng Jiang, James Glasbey +3
Objective assessment of surgical technical skill is important for surgical training and structured feedback, but current workflows remain dependent on labor-intensive expert review…
Rarity-Aware Discrete Diffusion with Spatially Consistent Decoding for Photo-Realistic Image Super-Resolution
Ao Li, Yapeng Du, Yi Xin +5
Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-leve…
Real-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention
Leshen Zhang, Ao Li, Ce Zhu
Real-time underwater image enhancement (UIE) is crucial for mobile underwater photography and autonomous robotic systems, where practical deployment typically requires low latency…
Hi-GaTA: Hierarchical Gated Temporal Aggregation Adapter for Surgical Video Report Generation
Kedi Sun, Chaohui Dang, Yue Feng +3
Automated, clinician-grade assessment reports for surgical procedures could reduce documentation burden and provide objective feedback, yet remain challenging due to the difficulty…
DRNet: All-in-One Image Restoration via Prior-Guided Dynamic Reparameterization
Ao Li, Xiaoning Liu, Sheng Li +5
All-in-one image restoration aims to handle diverse degradations within a single model. However, existing methods often suffer from three key limitations: 1) per-input computationa…
Deep Learning Empowered Super-Resolution: A Comprehensive Survey and Future Prospects
Le Zhang, Ao Li, Qibin Hou +2
Super-resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-q…