Yizhe Zhu
Yizhe Zhu
Ph.D. student in Department of Computer Science, Rutgers University
Verified email at rutgers.edu - Homepage
Cited by
Cited by
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Y Zhu, M Elhoseiny, B Liu, X Peng, A Elgammal
CVPR 2018, 2018
Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision
M Elhoseiny, Y Zhu, H Zhang, A Elgammal
CVPR 2017, 2017
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Y Zhu, J Xie, Z Tang, X Peng, A Elgammal
NeurIPS 2019, 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generalized Zero-Shot Learning
Y Zhu, J Xie, B Liu, A Elgammal
ICCV 2019, 2019
Federated adversarial domain adaptation
X Peng, Z Huang, Y Zhu, K Saenko
ICML 2020, 2019
CU-Net: Coupled U-Nets
Z Tang, X Peng, S Geng, Y Zhu, D Metaxas
BMVC 2018, 2018
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras
Y Zhu, A Elgammal
ICCV 2017, 2017
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization
B Liu, Y Zhu, Z Fu, G de Melo, A Elgammal
AAAI 2020, 2019
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Y Zhu, MR Min, A Kadav, HP Graf
CVPR 2020, 2020
AdaTransform: Adaptive Data Transformation
Z Tang, X Peng, T Li, Y Zhu, DN Metaxas
ICCV 2019, 2019
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
B Liu, Y Zhu, K Song, A Elgammal
ICLR 2021, 2021
TIME: Text and Image Mutual-Translation Adversarial Networks
B Liu, K Song, Y Zhu, G de Melo, A Elgammal
AAAI 2021, 2020
Self-Supervised Sketch-to-Image Synthesis
B Liu, Y Zhu, K Song, A Elgammal
AAAI 2021, 2020
Language-Guided Visual Recognition
M Elhoseiny, YE Zhu, A Elgammal
Applied Cloud Deep Semantic Recognition, Chapter 5, 101-122, 2018
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