Chao Zhang

According to our database, Chao Zhang authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

DiaLoc: An Iterative Approach to Embodied Dialog Localization.

Chao Zhang, Mohan Li, Ignas Budvytis, Stephan Liwicki

CoRR, 2024

2023

HexNet: An Orientation-Aware Deep Learning Framework for Omni-Directional Input.

Chao Zhang, Stephan Liwicki, Sen He, William Smith, Roberto Cipolla

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

LanGWM: Language Grounded World Model.

Rudra P. K. Poudel, Harit Pandya, Chao Zhang, Roberto Cipolla

CoRR, 2023

Hierarchical Quantization Consistency for Fully Unsupervised Image Retrieval.

Guile Wu, Chao Zhang, Stephan Liwicki

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval.

Guile Wu, Chao Zhang, Stephan Liwicki

CoRR, 2022

Beyond the CLS Token: Image Reranking using Pretrained Vision Transformers.

Chao Zhang, Stephan Liwicki, Roberto Cipolla

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Lifted Semantic Graph Embedding for Omnidirectional Place Recognition.

Chao Zhang, Ignas Budvytis, Stephan Liwicki, Roberto Cipolla

Proceedings of the International Conference on 3D Vision, 2021

2020

A Spherical Approach to Planar Semantic Segmentation.

Chao Zhang, Sen He, Stephan Liwicki

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

Rotation Equivariant Orientation Estimation for Omnidirectional Localization.

Chao Zhang, Ignas Budvytis, Stephan Liwicki, Roberto Cipolla

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Orientation-Aware Semantic Segmentation on Icosahedron Spheres.

Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla

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

2018

Learning non-rigid, 3D shape variations using statistical, physical and geometric models.

Chao Zhang

PhD thesis, 2018

Principal Geodesic Analysis in the Space of Discrete Shells.

Behrend Heeren, Chao Zhang, Martin Rumpf, William A. P. Smith

Comput. Graph. Forum, 2018

2016

Functional Faces: Groupwise Dense Correspondence Using Functional Maps.

Chao Zhang, William A. P. Smith, Arnaud Dessein, Nick E. Pears, Hang Dai

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Shell PCA: Statistical Shape Modelling in Shell Space.

Chao Zhang, Behrend Heeren, Martin Rumpf, William A. P. Smith

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015