Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Yan, Xiangyi"'
Autor:
Yang, Jiancheng, Shi, Rui, Jin, Liang, Huang, Xiaoyang, Kuang, Kaiming, Wei, Donglai, Gu, Shixuan, Liu, Jianying, Liu, Pengfei, Chai, Zhizhong, Xiao, Yongjie, Chen, Hao, Xu, Liming, Du, Bang, Yan, Xiangyi, Tang, Hao, Alessio, Adam, Holste, Gregory, Zhang, Jiapeng, Wang, Xiaoming, He, Jianye, Che, Lixuan, Pfister, Hanspeter, Li, Ming, Ni, Bingbing
Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the lack of large-scale annotated datasets and evaluation benchmarks has
Externí odkaz:
http://arxiv.org/abs/2402.09372
Reconstructing personalized animatable head avatars has significant implications in the fields of AR/VR. Existing methods for achieving explicit face control of 3D Morphable Models (3DMM) typically rely on multi-view images or videos of a single subj
Externí odkaz:
http://arxiv.org/abs/2311.06443
Autor:
Sun, Shanlin, Le, Thanh-Tung, You, Chenyu, Tang, Hao, Han, Kun, Ma, Haoyu, Kong, Deying, Yan, Xiangyi, Xie, Xiaohui
We present Hybrid-CSR, a geometric deep-learning model that combines explicit and implicit shape representations for cortical surface reconstruction. Specifically, Hybrid-CSR begins with explicit deformations of template meshes to obtain coarsely rec
Externí odkaz:
http://arxiv.org/abs/2307.12299
Autor:
Han, Kun, Xiong, Yifeng, You, Chenyu, Khosravi, Pooya, Sun, Shanlin, Yan, Xiangyi, Duncan, James, Xie, Xiaohui
Acquiring and annotating sufficient labeled data is crucial in developing accurate and robust learning-based models, but obtaining such data can be challenging in many medical image segmentation tasks. One promising solution is to synthesize realisti
Externí odkaz:
http://arxiv.org/abs/2304.04106
Autor:
Yan, Xiangyi, Naushad, Junayed, You, Chenyu, Tang, Hao, Sun, Shanlin, Han, Kun, Ma, Haoyu, Duncan, James, Xie, Xiaohui
Recent advancements in self-supervised learning have demonstrated that effective visual representations can be learned from unlabeled images. This has led to increased interest in applying self-supervised learning to the medical domain, where unlabel
Externí odkaz:
http://arxiv.org/abs/2304.03406
Autor:
Kong, Deying, Zhang, Linguang, Chen, Liangjian, Ma, Haoyu, Yan, Xiangyi, Sun, Shanlin, Liu, Xingwei, Han, Kun, Xie, Xiaohui
Reconstructing 3D hand meshes from monocular RGB images has attracted increasing amount of attention due to its enormous potential applications in the field of AR/VR. Most state-of-the-art methods attempt to tackle this task in an anonymous manner. S
Externí odkaz:
http://arxiv.org/abs/2209.10840
Autor:
Ma, Haoyu, Wang, Zhe, Chen, Yifei, Kong, Deying, Chen, Liangjian, Liu, Xingwei, Yan, Xiangyi, Tang, Hao, Xie, Xiaohui
Recently, the vision transformer and its variants have played an increasingly important role in both monocular and multi-view human pose estimation. Considering image patches as tokens, transformers can model the global dependencies within the entire
Externí odkaz:
http://arxiv.org/abs/2209.08194
Autor:
Sun, Shanlin, Han, Kun, You, Chenyu, Tang, Hao, Kong, Deying, Naushad, Junayed, Yan, Xiangyi, Ma, Haoyu, Khosravi, Pooya, Duncan, James S., Xie, Xiaohui
Publikováno v:
Medical Image Analysis 97 (2024): 103249
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learn
Externí odkaz:
http://arxiv.org/abs/2206.03111
Autor:
Sun, Shanlin, Han, Kun, You, Chenyu, Tang, Hao, Kong, Deying, Naushad, Junayed, Yan, Xiangyi, Ma, Haoyu, Khosravi, Pooya, Duncan, James S., Xie, Xiaohui
Publikováno v:
In Medical Image Analysis October 2024 97
Deep Implicit Functions (DIFs) represent 3D geometry with continuous signed distance functions learned through deep neural nets. Recently DIFs-based methods have been proposed to handle shape reconstruction and dense point correspondences simultaneou
Externí odkaz:
http://arxiv.org/abs/2203.08652