Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions

no code implementations • 13 Apr 2023 • Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald Chan, Varut Vardhanabhuti, Winnie CW Chu, Kwang-Ting Cheng, Hao Chen

Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020.

Scene Matters: Model-based Deep Video Compression

no code implementations • ICCV 2023 • Lv Tang, Xinfeng Zhang, Gai Zhang, Xiaoqi Ma

Video compression has always been a popular research area, where many traditional and deep video compression methods have been proposed.

Video Compression

SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection

1 code implementation • 25 Jun 2022 • Dexiang Hong, Xiaoqi Ma, Xinyao Wang, CongCong Li, YuFei Wang, Longyin Wen

This report presents the algorithm used in the submission of Generic Event Boundary Detection (GEBD) Challenge at CVPR 2022.

Boundary Detection Generic Event Boundary Detection +1

Exploring ensembles and uncertainty minimization in denoising networks

no code implementations • 24 Jan 2021 • Xiaoqi Ma

The development of neural networks has greatly improved the performance in various computer vision tasks.

Ensemble Learning Image Denoising

Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion

1 code implementation • 12 Jan 2021 • Xiaoqi Ma, Xiaoyu Lin, Majed El Helou, Sabine Süsstrunk

While novel denoising networks were designed for real images coming from different distributions, or for specific applications, comparatively small improvement was achieved on Gaussian denoising.

Denoising