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Chengkai Zhang
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2020 – today
- 2024
- [i9]Biaoshuai Tao, Chengkai Zhang, Houyu Zhou:
The Degree of (Extended) Justified Representation and Its Optimization. CoRR abs/2412.19933 (2024) - 2023
- [j2]Linyu Wei, Jueping Cai
, Kailin Wen
Local-global lightweight ViT model for mini/micro-LED-chip defect recognition. Eng. Appl. Artif. Intell. 123(Part A): 106247 (2023) - 2022
- [c12]Chengkai Zhang, Jichao Jiao, Wei Xu, Ning Li, Min Pang, Jianye Dong:
ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation. ICMLC 2022: 91-96 - 2020
- [c11]Tangkun Zhang, Jichao Jiao, Chengkai Zhang, Yaxin Zhao, Chenxu Wang, Wei Cui, Xinping Chen:
M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices. ICIP 2020: 1721-1725
2010 – 2019
- 2019
- [j1]Hongguang Yun
An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning. IEEE Access 7: 122205-122213 (2019) - [c10]Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu:
Towards end-to-end pulsed eddy current classification and regression with CNN. I2MTC 2019: 1-5 - [c9]Xiang Peng, Chengkai Zhang, Uchenna Anyaoha
Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval. ISIE 2019: 2665-2670 - [i8]Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu:
Towards end-to-end pulsed eddy current classification and regression with CNN. CoRR abs/1902.08553 (2019) - 2018
- [c8]Xingyuan Sun, Jiajun Wu, Xiuming Zhang
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CVPR 2018: 2974-2983 - [c7]Jiajun Wu, Chengkai Zhang, Xiuming Zhang
Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) 2018: 673-691 - [c6]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. ECCV (9) 2018: 762-779 - [c5]Chengkai Zhang, Junchi Bin, Zheng Liu:
Wind turbine ice assessment through inductive transfer learning. I2MTC 2018: 1-6 - [c4]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representations. NeurIPS 2018: 118-129 - [c3]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. NeurIPS 2018: 2263-2274 - [i7]Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman:
Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling. CoRR abs/1804.04610 (2018) - [i6]Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman:
Seeing Tree Structure from Vibration. CoRR abs/1809.05067 (2018) - [i5]Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum:
Learning Shape Priors for Single-View 3D Completion and Reconstruction. CoRR abs/1809.05068 (2018) - [i4]Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman:
Visual Object Networks: Image Generation with Disentangled 3D Representation. CoRR abs/1812.02725 (2018) - [i3]Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu:
Learning to Reconstruct Shapes from Unseen Classes. CoRR abs/1812.11166 (2018) - 2016
- [c2]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CogSci 2016 - [c1]Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. NIPS 2016: 82-90 - [i2]Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum:
A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding. CoRR abs/1605.01138 (2016) - [i1]Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum:
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. CoRR abs/1610.07584 (2016)
Coauthor Index
aka: Bill Freeman
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