Anjie Wang

According to our database, Anjie Wang authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Dual-stream multi-label image classification model enhanced by feature reconstruction.

Liming Hu, Mingxuan Chen, Anjie Wang, Zhijun Fang

Multim. Syst., October, 2024

CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack Segmentation.

Xiaoyan Jiang, Licheng Jiang, Anjie Wang, Kaiying Zhu, Yongbin Gao

CoRR, 2024

2023

A Decoupled Kernel Prediction Network Guided by Soft Mask for Single Image HDR Reconstruction.

Gaofeng Cao, Fei Zhou, Kanglin Liu, Anjie Wang, Leidong Fan

ACM Trans. Multim. Comput. Commun. Appl., 2023

Short-Term PV Power Forecasting Based on CEEMDAN and Ensemble DeepTCN.

Yu Huang, Anjie Wang, Jianfang Jiao, Jiale Xie, Hongtian Chen

IEEE Trans. Instrum. Meas., 2023

Generation of Collision-Free Tool Posture for Robotic Belt Grinding Blisk Using Visualization Toolkit.

Anjie Wang, Lai Zou, Xinli Wang

Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation.

Anjie Wang, Zhijun Fang, Xiaoyan Jiang, Yongbin Gao, Gaofeng Cao, Siwei Ma

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping.

Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Point AE-DCGAN: A deep learning model for 3D point cloud lossy geometry compression.

Jiacheng Xu, Zhijun Fang, Yongbin Gao, Siwei Ma, Yaochu Jin, Heng Zhou, Anjie Wang

Proceedings of the 31st Data Compression Conference, 2021

2020

Adversarial Learning for Joint Optimization of Depth and Ego-Motion.

Anjie Wang, Zhijun Fang, Yongbin Gao, Songchao Tan, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang

IEEE Trans. Image Process., 2020

Self-Supervised Learning of Depth and Pose Using Cycle Generative Adversarial Network.

Yunhe Tong, Anjie Wang, Songchao Tan, Shanshe Wang, Siwei Ma, Wen Gao

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Unsupervised learning of depth estimation based on attention model and global pose optimization.

Renyue Dai, Yongbin Gao, Zhijun Fang, Xiaoyan Jiang, Anjie Wang, Juan Zhang, Cengsi Zhong

Signal Process. Image Commun., 2019

SSL-Net: Point-Cloud Generation Network With Self-Supervised Learning.

Ran Sun, Yongbin Gao, Zhijun Fang, Anjie Wang, Cengsi Zhong

IEEE Access, 2019

Unsupervised Learning of Depth and Ego-Motion with Spatial-Temporal Geometric Constraints.

Anjie Wang, Yongbin Gao, Zhijun Fang, Xiaoyan Jiang, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Depth Estimation of Video Sequences With Perceptual Losses.

Anjie Wang, Zhijun Fang, Yongbin Gao, Xiaoyan Jiang, Siwei Ma

IEEE Access, 2018