290 citations · 692 across the 33 of their papers we have counts for
6 papers · 1 filter
Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN
Heng Liu, Jianyong Liu, Tao Tao +2
Due to the limitations of sensors, the transmission medium and the intrinsic properties of ultrasound, the quality of ultrasound imaging is always not ideal, especially its low spa…
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
Xiaohan Ding, Tianxiang Hao, Jianchao Tan +4
We propose ResRep, a novel method for lossless channel pruning (a.k.a. filter pruning), which slims down a CNN by reducing the width (number of output channels) of convolutional la…
Shallow Feature Based Dense Attention Network for Crowd Counting
Yunqi Miao, Zijia Lin, Guiguang Ding +1
While the performance of crowd counting via deep learning has been improved dramatically in the recent years, it remains an ingrained problem due to cluttered backgrounds and varyi…
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
Hui Chen, Guiguang Ding, Xudong Liu +3
Enabling bi-directional retrieval of images and texts is important for understanding the correspondence between vision and language. Existing methods leverage the attention mechani…
NAS-Count: Counting-by-Density with Neural Architecture Search
Yutao Hu, Xiaolong Jiang, Xuhui Liu +4
Most of the recent advances in crowd counting have evolved from hand-designed density estimation networks, where multi-scale features are leveraged to address the scale variation p…
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data
Xin Wang, Ruisheng Su, Weiyi Xie +5
In medical-data driven learning, 3D convolutional neural networks (CNNs) have started to show superior performance to 2D CNNs in numerous deep learning tasks, proving the added val…