6 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2026
Gaze into the Details: Locality-Sensitive Enhancement for OCTA Retinal Vessel Segmentation
Tuopusen Huang, Ding Ma, Xiangqian Wu
Existing deep learning frameworks for Optical Coherence Tomography Angiography (OCTA) vessel segmentation are largely derived from the U-Net architecture, which serves as the found…
cs.CV2019★ 6 cited
TCDCaps: Visual Tracking via Cascaded Dense Capsules
Ding Ma, Xiangqian Wu
The critical challenge in tracking-by-detection framework is how to avoid drift problem during online learning, where the robust features for a variety of appearance changes are di…
cs.SD2019★ 3 cited
FurcaNeXt: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks
Liwen Zhang, Ziqiang Shi, Jiqing Han +2
Deep dilated temporal convolutional networks (TCN) have been proved to be very effective in sequence modeling. In this paper we propose several improvements of TCN for end-to-end a…