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Ze Wang
Ze Wang
Ph.D. candidate, ECE, Purdue University
Bestätigte E-Mail-Adresse bei purdue.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Lanenet: Real-time lane detection networks for autonomous driving
Z Wang, W Ren, Q Qiu
arXiv preprint arXiv:1807.01726, 2018
2182018
Multilevel wavelet decomposition network for interpretable time series analysis
J Wang, Z Wang, J Li, J Wu
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
1842018
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
J Wang, J Wu, Z Wang, F Gao, Z Xiong
arXiv preprint arXiv:1905.00702, 2019
562019
In Defense of Single-column Networks for Crowd Counting
Z Wang, Z Xiao, K Xie, Q Qiu, X Zhen, X Cao
BMVC 2018 arXiv preprint arXiv:1808.06133, 2018
502018
Range adaptation for 3d object detection in lidar
Z Wang, S Ding, Y Li, M Zhao, S Roychowdhury, A Wallin, G Sapiro, Q Qiu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
352019
Cirrus: A long-range bi-pattern lidar dataset
Z Wang, S Ding, Y Li, J Fenn, S Roychowdhury, A Wallin, L Martin, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 5744-5750, 2021
222021
Continual Learning with Filter Atom Swapping
Z Miao, Z Wang, W Chen, Q Qiu
International Conference on Learning Representations, 2022
212022
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
J Wang, X He, Z Wang, J Wu, NJ Yuan, X Xie, Z Xiong
arXiv preprint arXiv:1804.09901, 2018
212018
Learning to learn dense gaussian processes for few-shot learning
Z Wang, Z Miao, X Zhen, Q Qiu
Advances in Neural Information Processing Systems 34, 13230-13241, 2021
202021
Stochastic conditional generative networks with basis decomposition
Z Wang, X Cheng, G Sapiro, Q Qiu
ICLR 2020 arXiv preprint arXiv:1909.11286, 2019
192019
Adaptive convolutions with per-pixel dynamic filter atom
Z Wang, Z Miao, J Hu, Q Qiu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
152021
Few-Shot Fast-Adaptive Anomaly Detection
Z Wang, Y Zhou, R Wang, TY Lin, A Shah, SN Lim
Advances in Neural Information Processing Systems, 2022
92022
A dictionary approach to domain-invariant learning in deep networks
Z Wang, X Cheng, G Sapiro, Q Qiu
Advances in neural information processing systems 33, 6595-6605, 2020
92020
Binary latent diffusion
Z Wang, J Wang, Z Liu, Q Qiu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Acdc: Weight sharing in atom-coefficient decomposed convolution
Z Wang, X Cheng, G Sapiro, Q Qiu
arXiv preprint arXiv:2009.02386, 2020
82020
The structure transfer machine theory and applications
B Zhang, W Yang, Z Wang, L Zhuo, J Han, X Zhen
IEEE Transactions on Image Processing 29, 2889-2902, 2019
62019
Energy-Inspired Self-Supervised Pretraining for Vision Models
Z Wang, J Wang, Z Liu, Q Qiu
First Workshop on Pre-training: Perspectives, Pitfalls, and Paths Forward at …, 2022
52022
Spatiotemporal joint filter decomposition in 3d convolutional neural networks
Z Miao, Z Wang, X Cheng, Q Qiu
Advances in Neural Information Processing Systems 34, 3376-3388, 2021
42021
Image generation using continuous filter atoms
Z Wang, S Hwang, Z Miao, Q Qiu
Advances in Neural Information Processing Systems 34, 17826-17838, 2021
32021
Efficient Adaptation of Deep Vision Models
Z Wang
Purdue University, 2023
12023
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