3 citations · 7 across the 4 of their papers we have counts for
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Few-shot Medical Image Segmentation with Cycle-resemblance Attention
Hao Ding, Changchang Sun, Hao Tang +2
Recently, due to the increasing requirements of medical imaging applications and the professional requirements of annotating medical images, few-shot learning has gained increasing…
On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation
Zhaoshuo Li, Nathan Drenkow, Hao Ding +5
Scene depth estimation from stereo and monocular imagery is critical for extracting 3D information for downstream tasks such as scene understanding. Recently, learning-based method…
Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism
Hao Ding, Songsong Wu, Hao Tang +3
Learning to generate natural scenes has always been a daunting task in computer vision. This is even more laborious when generating images with very different views. When the views…
Deeply Shape-guided Cascade for Instance Segmentation
Hao Ding, Siyuan Qiao, Alan Yuille +1
The key to a successful cascade architecture for precise instance segmentation is to fully leverage the relationship between bounding box detection and mask segmentation across mul…