Chengkai Zhang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 22

Top Topics

Image Generation

Transfer Learning

Top Venues

Publications

Linyu Wei, Jueping Cai, Kailin Wen, Chengkai Zhang
Local-global lightweight ViT model for mini/micro-LED-chip defect recognition. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
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)
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)
Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
Towards end-to-end pulsed eddy current classification and regression with CNN. I2MTC (2019)
Xiang Peng, Chengkai Zhang, Uchenna Anyaoha, Kevin Siggers, Zheng Liu
Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval. ISIE (2019)
Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu
Towards end-to-end pulsed eddy current classification and regression with CNN. CoRR (2019)
Hongguang Yun, Chengkai Zhang, Chenggang Hou, Zheng Liu
An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning. IEEE Access 7 (2019)
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. CVPR (2018)
Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman
Seeing Tree Structure from Vibration. CoRR (2018)
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 (2018)
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 (2018)
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)
Chengkai Zhang, Junchi Bin, Zheng Liu
Wind turbine ice assessment through inductive transfer learning. I2MTC (2018)
Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman
Seeing Tree Structure from Vibration. ECCV (9) (2018)
Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum
Learning Shape Priors for Single-View 3D Completion And Reconstruction. ECCV (11) (2018)
Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu
Learning to Reconstruct Shapes from Unseen Classes. NeurIPS (2018)
Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman, Jiajun Wu
Learning to Reconstruct Shapes from Unseen Classes. CoRR (2018)
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 (2018)
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 (2016)
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)
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 (2016)
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)