Jing Zhu

According to our database, Jing Zhu authored at least 11 papers between 2015 and 2020.

Collaborative distances:

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

2020

Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds.

Jing Zhu, Yi Fang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation.

Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning domain-invariant feature for robust depth-image-based 3D shape retrieval.

Jing Zhu, John-Ross Rizzo, Yi Fang

Pattern Recognit. Lett., 2019

Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment.

Yunxiao Shi, Jing Zhu, Yi Fang, Kuo-Chin Lien, Junli Gu

CoRR, 2019

Structure-Attentioned Memory Network for Monocular Depth Estimation.

Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang, Kuo-Chin Lien, Junli Gu

CoRR, 2019

Learning Object-specific Distance from a Monocular Image.

Jing Zhu, Yi Fang, Husam Abu-Haimed, Kuo-Chin Lien, Dongdong Fu, Junli Gu

CoRR, 2019

Learning Object-Specific Distance From a Monocular Image.

Jing Zhu, Yi Fang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Pairwise Attention Encoding for Point Cloud Feature Learning.

Yunxiao Shi, Haoyu Fang, Jing Zhu, Yi Fang

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches.

Jing Zhu, Yi Fang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning Adversarial 3D Model Generation With 2D Image Enhancer.

Jing Zhu, Jin Xie, Yi Fang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval.

Jing Zhu, Fan Zhu, Edward K. Wong, Yi Fang

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015