Folgen
Yu-Gang Jiang
Yu-Gang Jiang
Professor, Fudan University. IEEE & IAPR Fellow
Bestätigte E-Mail-Adresse bei fudan.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Supervised hashing with kernels
W Liu, J Wang, R Ji, YG Jiang, SF Chang
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2074-2081, 2012
17302012
Pixel2mesh: Generating 3d mesh models from single rgb images
N Wang, Y Zhang, Z Li, Y Fu, W Liu, YG Jiang
Proceedings of the European Conference on Computer Vision (ECCV), 52-67, 2018
16382018
Evaluating bag-of-visual-words representations in scene classification
J Yang, YG Jiang, AG Hauptmann, CW Ngo
Proceedings of the ACM SIGMM workshop on multimedia information retrieval …, 2007
12352007
Towards optimal bag-of-features for object categorization and semantic video retrieval
YG Jiang, CW Ngo, J Yang
Proceedings of the 6th ACM international conference on Image and video …, 2007
8772007
Two-dimensional materials for next-generation computing technologies
C Liu, H Chen, S Wang, Q Liu, YG Jiang, DW Zhang, M Liu, P Zhou
Nature Nanotechnology 15 (7), 545-557, 2020
8142020
Dsod: Learning deeply supervised object detectors from scratch
Z Shen, Z Liu, J Li, YG Jiang, Y Chen, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 1919-1927, 2017
8122017
THUMOS challenge: Action recognition with a large number of classes
YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar
7892013
The THUMOS challenge on action recognition for videos “in the wild”
H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah
Computer Vision and Image Understanding 155, 1-23, 2017
6722017
The THUMOS challenge on action recognition for videos “in the wild”
H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah
Computer Vision and Image Understanding 155, 1-23, 2017
6722017
Modeling spatial-temporal clues in a hybrid deep learning framework for video classification
Z Wu, X Wang, YG Jiang, H Ye, X Xue
Proceedings of the 23rd ACM international conference on Multimedia, 461-470, 2015
6012015
NAIS: Neural Attentive Item Similarity Model for Recommendation
X He, Z He, J Song, Z Liu, YG Jiang, TS Chua
IEEE Transactions on Knowledge and Data Engineering, 2018
5892018
Pose-normalized image generation for person re-identification
X Qian, Y Fu, T Xiang, W Wang, J Qiu, Y Wu, YG Jiang, X Xue
Proceedings of the European Conference on Computer Vision (ECCV), 650-667, 2018
5532018
Exploiting feature and class relationships in video categorization with regularized deep neural networks
YG Jiang, Z Wu, J Wang, X Xue, SF Chang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
4562017
Learning fashion compatibility with bidirectional lstms
X Han, Z Wu, YG Jiang, LS Davis
Proceedings of the 25th ACM international conference on Multimedia, 1078-1086, 2017
4552017
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
B Zi, M Chang, J Chen, X Ma, YG Jiang
Proceedings of the 28th ACM International Conference on Multimedia, 2382-2390, 2020
4172020
Consumer video understanding: A benchmark database and an evaluation of human and machine performance
YG Jiang, G Ye, SF Chang, D Ellis, AC Loui
Proceedings of the 1st ACM International Conference on Multimedia Retrieval, 1-8, 2011
3932011
Multi-scale deep learning architectures for person re-identification
X Qian, Y Fu, YG Jiang, T Xiang, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017
3642017
Multi-scale deep learning architectures for person re-identification
X Qian, Y Fu, YG Jiang, T Xiang, X Xue
Proceedings of the IEEE International Conference on Computer Vision, 5399-5408, 2017
3642017
Recurrent fusion network for image captioning
W Jiang, L Ma, YG Jiang, W Liu, T Zhang
Proceedings of the European Conference on Computer Vision (ECCV), 499-515, 2018
3372018
Clean-Label Backdoor Attacks on Video Recognition Models
S Zhao, X Ma, X Zheng, J Bailey, J Chen, YG Jiang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3362020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20