Članki z zahtevami za javni dostop - Xiaodan LiangVeč o tem
Ni na voljo nikjer: 10
Dynamic support network for few-shot class incremental learning
B Yang, M Lin, Y Zhang, B Liu, X Liang, R Ji, Q Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2945-2951, 2022
Zahteve: Chinese Academy of Sciences, National Natural Science Foundation of China
CP-GAN: Context pyramid generative adversarial network for speech enhancement
G Liu, K Gong, X Liang, Z Chen
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Zahteve: National Natural Science Foundation of China
Atom correlation based graph propagation for scene graph generation
B Lin, Y Zhu, X Liang
Pattern Recognition 122, 108300, 2022
Zahteve: National Natural Science Foundation of China
Soft transfer learning via gradient diagnosis for visual relationship detection
D Chen, X Liang, Y Wang, W Gao
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1118-1126, 2019
Zahteve: National Natural Science Foundation of China
Improving deep binary embedding networks by order-aware reweighting of triplets
H Lai, J Chen, L Geng, Y Pan, X Liang, J Yin
IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 1162-1172, 2019
Zahteve: National Natural Science Foundation of China
Configurable graph reasoning for visual relationship detection
Y Zhu, X Liang, B Lin, Q Ye, J Jiao, L Lin, X Liang
IEEE Transactions on Neural Networks and Learning Systems 33 (1), 117-129, 2020
Zahteve: National Natural Science Foundation of China
Heterogeneous Excitation-and-Squeeze Network for visual dialog
B Lin, Y Zhu, X Liang
Neurocomputing 449, 399-410, 2021
Zahteve: National Natural Science Foundation of China
Template-based contrastive distillation pretraining for math word problem solving
J Qin, Z Yang, J Chen, X Liang, L Lin
IEEE Transactions on Neural Networks and Learning Systems, 2023
Zahteve: National Natural Science Foundation of China
Caption-Aided Product Detection via Collaborative Pseudo-Label Harmonization
X Dong, G Zhang, X Zhan, Y Ding, Y Wei, M Lu, X Liang
IEEE Transactions on Multimedia 25, 1916-1927, 2022
Zahteve: National Natural Science Foundation of China
RecFormer: Recurrent Multi-modal Transformer with History-Aware Contrastive Learning for Visual Dialog
L Lu, J Qin, Z Jie, L Ma, L Lin, X Liang
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 159-171, 2023
Zahteve: National Natural Science Foundation of China
Na voljo nekje: 145
Controllable text generation
Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing
arXiv preprint arXiv:1703.00955 4, 2017
Zahteve: US National Science Foundation, US Department of Defense
Is faster R-CNN doing well for pedestrian detection?
L Zhang, L Lin, X Liang, K He
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Zahteve: National Natural Science Foundation of China
Object region mining with adversarial erasing: A simple classification to semantic segmentation approach
Y Wei, J Feng, X Liang, MM Cheng, Y Zhao, S Yan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Zahteve: National Natural Science Foundation of China
Look into person: Joint body parsing & pose estimation network and a new benchmark
X Liang, K Gong, X Shen, L Lin
IEEE transactions on pattern analysis and machine intelligence 41 (4), 871-885, 2018
Zahteve: National Natural Science Foundation of China
Stc: A simple to complex framework for weakly-supervised semantic segmentation
Y Wei, X Liang, Y Chen, X Shen, MM Cheng, J Feng, Y Zhao, S Yan
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2314 …, 2016
Zahteve: National Natural Science Foundation of China
Meta r-cnn: Towards general solver for instance-level low-shot learning
X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Zahteve: National Natural Science Foundation of China
Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters
H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ...
2017 USENIX Annual Technical Conference (USENIX ATC 17), 181-193, 2017
Zahteve: US National Science Foundation
Dual motion GAN for future-flow embedded video prediction
X Liang, L Lee, W Dai, EP Xing
proceedings of the IEEE international conference on computer vision, 1744-1752, 2017
Zahteve: US Department of Defense
Semantic object parsing with graph lstm
X Liang, X Shen, J Feng, L Lin, S Yan
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Zahteve: National Natural Science Foundation of China
Rethinking knowledge graph propagation for zero-shot learning
M Kampffmeyer, Y Chen, X Liang, H Wang, Y Zhang, EP Xing
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Zahteve: Research Council of Norway
Podatke o objavi in financiranju samodejno določi računalniški program