Chengkai Zhang

According to our database, Chengkai Zhang authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Local-global lightweight ViT model for mini/micro-LED-chip defect recognition.

Linyu Wei, Jueping Cai, Kailin Wen, Chengkai Zhang

Eng. Appl. Artif. Intell., 2023

2022

ADFNet: Attention-based Fusion Network for Few-shot RGB-D Semantic Segmentation.

Chengkai Zhang, Jichao Jiao, Wei Xu, Ning Li, Min Pang, Jianye Dong

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

2020

M-Sosanet: An Efficient Convolution Network Backbone For Embedding Devices.

Tangkun Zhang, Jichao Jiao, Chengkai Zhang, Yaxin Zhao, Chenxu Wang, Wei Cui, Xinping Chen

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

An Adaptive Approach for Ice Detection in Wind Turbine With Inductive Transfer Learning.

Hongguang Yun, Chengkai Zhang, Chenggang Hou, Zheng Liu

IEEE Access, 2019

Parameterizing Magnetic Flux Leakage Data for Pipeline Corrosion Defect Retrieval.

Xiang Peng, Chengkai Zhang, Uchenna Anyaoha, Kevin Siggers, Zheng Liu

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Towards end-to-end pulsed eddy current classification and regression with CNN.

Xin Fu, Chengkai Zhang, Xiang Peng, Lihua Jian, Zheng Liu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018

Visual Object Networks: Image Generation with Disentangled 3D Representation.

Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum, William T. Freeman

CoRR, 2018

Visual Object Networks: Image Generation with Disentangled 3D Representations.

Jun-Yan Zhu, Zhoutong Zhang, Chengkai Zhang, Jiajun Wu, Antonio Torralba, Josh Tenenbaum, Bill Freeman

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning to Reconstruct Shapes from Unseen Classes.

Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Josh Tenenbaum, Bill Freeman, Jiajun Wu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Wind turbine ice assessment through inductive transfer learning.

Chengkai Zhang, Junchi Bin, Zheng Liu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

Seeing Tree Structure from Vibration.

Tianfan Xue, Jiajun Wu, Zhoutong Zhang, Chengkai Zhang, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Shape Priors for Single-View 3D Completion And Reconstruction.

Jiajun Wu, Chengkai Zhang, Xiuming Zhang, Zhoutong Zhang, William T. Freeman, Joshua B. Tenenbaum

Proceedings of the Computer Vision - ECCV 2018, 2018

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling.

Xingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling.

Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Comparative Evaluation of Approximate Probabilistic Simulation and Deep Neural Networks as Accounts of Human Physical Scene Understanding.

Renqiao Zhang, Jiajun Wu, Chengkai Zhang, William T. Freeman, Joshua B. Tenenbaum

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016