2.3k citations · 2.5k across the 11 of their papers we have counts for
11 papers
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
Xi Jia, Joseph Bartlett, Tianyang Zhang +3
Due to their extreme long-range modeling capability, vision transformer-based networks have become increasingly popular in deformable image registration. We believe, however, that…
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations
An Yan, Zhankui He, Jiacheng Li +2
Existing explanation models generate only text for recommendations but still struggle to produce diverse contents. In this paper, to further enrich explanations, we propose a new t…
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Xiangrong Zhang, Zelin Peng, Peng Zhu +4
Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models. In recent years, image-…
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
Tianyang Zhang, Xiangrong Zhang, Peng Zhu +4
In this paper, we focus on the challenging multicategory instance segmentation problem in remote sensing images (RSIs), which aims at predicting the categories of all instances and…
A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation
Shaoming Zheng, Tianyang Zhang, Jiawei Zhuang +2
Vessel segmentation in fundus is a key diagnostic capability in ophthalmology, and there are various challenges remained in this essential task. Early approaches indicate that it i…
CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo +8
In this paper, we introduce CAIL2019-SCM, Chinese AI and Law 2019 Similar Case Matching dataset. CAIL2019-SCM contains 8,964 triplets of cases published by the Supreme People's Cou…
Identify the cells' nuclei based on the deep learning neural network
Tianyang Zhang, Rui Ma
Identify the cells' nuclei is the important point for most medical analyses. To assist doctors finding the accurate cell' nuclei location automatically is highly demanded in the cl…
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis
Tianyang Zhang, Huazhu Fu, Yitian Zhao +7
Generative Adversarial Networks (GANs) have the capability of synthesizing images, which have been successfully applied to medical image synthesis tasks. However, most of existing…
CE-Net: Context Encoder Network for 2D Medical Image Segmentation
Zaiwang Gu, Jun Cheng, Huazhu Fu +6
Medical image segmentation is an important step in medical image analysis. With the rapid development of convolutional neural network in image processing, deep learning has been us…
A Hierarchical Framework for Relation Extraction with Reinforcement Learning
Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu +1
Most existing methods determine relation types only after all the entities have been recognized, thus the interaction between relation types and entity mentions is not fully modele…
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory
Hao Zhou, Minlie Huang, Tianyang Zhang +2
Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents. However, this problem has not been studied in large-scale conversa…