Kaichen Zhou

According to our database, Kaichen Zhou authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network.

Yuxuan Wan, Kaichen Zhou, Jinhong Chen, Hao Dong

CoRR, 2024

WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization.

Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni

CoRR, 2024

OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding.

Guibiao Liao, Kaichen Zhou, Zhenyu Bao, Kanglin Liu, Qing Li

CoRR, 2024

Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection.

Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields.

Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang

CoRR, 2023

MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios.

Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham

CoRR, 2023

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation.

Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni

CoRR, 2023

RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields.

Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong

CoRR, 2023

SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification.

Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham

CoRR, 2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.

Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu

CoRR, 2023

DynPoint: Dynamic Neural Point For View Synthesis.

Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation.

Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR.

Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning.

Kaichen Zhou, Shiji Song, Anke Xue, Keyou You, Hui Wu

IEEE Trans. Syst. Man Cybern. Syst., 2022

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture.

Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li

Trans. Mach. Learn. Res., 2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction.

Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

Proceedings of the Computer Vision - ECCV 2022, 2022

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces.

Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization.

Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling.

Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020