Ye Yuan
Ye Yuan
PhD student of Computer Science, Texas A&M University
Verified email at tamu.edu
Title
Cited by
Cited by
Year
Abd-net: Attentive but diverse person re-identification
T Chen, S Ding, J Xie, Y Yuan, W Chen, Y Yang, Z Ren, Z Wang
Proceedings of the IEEE International Conference on Computer Vision, 8351-8361, 2019
382019
Bridging the gap between computational photography and visual recognition
RG VidalMata, S Banerjee, B RichardWebster, M Albright, P Davalos, ...
arXiv preprint arXiv:1901.09482, 2019
122019
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Y Yuan, W Yang, W Ren, J Liu, WJ Scheirer, Z Wang
arXiv preprint arXiv:1904.04474, 2019
112019
In defense of the triplet loss again: Learning robust person re-identification with fast approximated triplet loss and label distillation
Y Yuan, W Chen, Y Yang, Z Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
52020
Genome sequence of a Proteus mirabilis strain isolated from the salivary glands of larval Lucilia sericata
Y Yuan, Y Zhang, S Fu, TL Crippen, DK Visi, ME Benbow, MS Allen, ...
Genome announcements 4 (4), 2016
42016
Calibrated domain-invariant learning for highly generalizable large scale re-identification
Y Yuan, W Chen, T Chen, Y Yang, Z Ren, Z Wang, G Hua
The IEEE Winter Conference on Applications of Computer Vision, 3589-3598, 2020
22020
Genome sequence of a Providencia stuartii strain isolated from Lucilia sericata salivary glands
Y Yuan, Y Zhang, S Fu, TL Crippen, DK Visi, ME Benbow, MS Allen, ...
Genome announcements 5 (17), 2017
22017
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ...
IEEE Transactions on Image Processing 29, 5737-5752, 2020
12020
IC‐P‐025: FEASIBILITY OF QUANTIFYING AMYLOID BURDEN USING VOLUMETRIC MRI DATA: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL NEURAL NETWORK APPROACH
Y Yuan, Z Wang, W Lee, P Thiyyagura, EM Reiman, K Chen
Alzheimer's & Dementia 14 (7S_Part_1), P30-P31, 2018
12018
P1‐118: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D CONVOLUTIONAL …
Y Yuan, Z Wang, W Lee, P VanGilder, Y Chen, EM Reiman, K Chen
Alzheimer's & Dementia 14 (7S_Part_5), P315-P316, 2018
12018
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang
arXiv preprint arXiv:2006.11280, 2020
2020
Bridging the Gap Between Computational Photography and Visual Recognition
W Scheirer, R VidalMata, S Banerjee, B RichardWebster, M Albright, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
2020
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
Z Huo, A PakBin, X Chen, N Hurley, Y Yuan, X Qian, Z Wang, S Huang, ...
arXiv preprint arXiv:2003.01753, 2020
2020
IC‐P‐026: QUANTIFICATION OF AMYLOID BURDEN FROM FLORBETAPIR PET IMAGES WITHOUT USING TARGET AND REFERENCE REGIONS: PRELIMINARY FINDINGS BASED ON THE DEEP LEARNING 3D …
Y Yuan, Z Wang, W Lee, P VanGilder, Y Chen, EM Reiman, K Chen
Alzheimer's & Dementia 14 (7S_Part_1), P31-P31, 2018
2018
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
A Pakbin, A Samareh, X Chen, NC Hurley, Y Yuan, X Qian, Z Wang, ...
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