Kaichen Zhou

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 34

Top Topics

Pedestrian Detection

Depth Estimation

Joint Optimization

Top Venues

IEEE Robotics Autom. Lett.

Publications

Jiaming Liu, Chenxuan Li, Guanqun Wang, Lily Lee, Kaichen Zhou, Sixiang Chen, Chuyan Xiong, Jiaxin Ge, Renrui Zhang, Shanghang Zhang
Self-Corrected Multimodal Large Language Model for End-to-End Robot Manipulation. CoRR (2024)
Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR (2024)
Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Lily Lee, Kaichen Zhou, Pengju An, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
RoboMamba: Multimodal State Space Model for Efficient Robot Reasoning and Manipulation. CoRR (2024)
Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong
AIC MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation. CoRR (2024)
Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models. CoRR (2024)
Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham
SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification. ICASSP (2024)
Yuxuan Wan, Kaichen Zhou, Jinhong Chen, Hao Dong
SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network. CoRR (2024)
Yan Xia, Ran Ding, Ziyuan Qin, Guanqi Zhan, Kaichen Zhou, Long Yang, Hao Dong, Daniel Cremers
TARGO: Benchmarking Target-driven Object Grasping under Occlusions. CoRR (2024)
Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong
RGBGrasp: Image-Based Object Grasping by Capturing Multiple Views During Robot arm Movement With Neural Radiance Fields. IEEE Robotics Autom. Lett. 9 (6) (2024)
Guibiao Liao, Kaichen Zhou, Zhenyu Bao, Kanglin Liu, Qing Li
OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding. CoRR (2024)
Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni
Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. WACV (2024)
Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models. ICRA (2024)
Kaichen Zhou
Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry. CoRR (2024)
Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. CoRR (2023)
Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification. CoRR (2023)
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR. ICRA (2023)
Kaichen Zhou, Jia-Xing Zhong, Jia-Wang Bian, Qian Xie, Jian-Qing Zheng, Niki Trigoni, Andrew Markham
MGDepth: Motion-Guided Cost Volume For Self-Supervised Monocular Depth In Dynamic Scenarios. CoRR (2023)
Chang Liu, Kejian Shi, Kaichen Zhou, Haoxiao Wang, Jiyao Zhang, Hao Dong
RGBGrasp: Image-based Object Grasping by Capturing Multiple Views during Robot Arm Movement with Neural Radiance Fields. CoRR (2023)
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
DynPoint: Dynamic Neural Point For View Synthesis. CoRR (2023)
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR (2023)
Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. CoRR (2023)
Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS (2023)
Jia-Xing Zhong, Ta Ying Cheng, Yuhang He, Kai Lu, Kaichen Zhou, Andrew Markham, Niki Trigoni
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation. NeurIPS (2023)
Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR (2023)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. ECCV (39) (2022)
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR (2022)
Kaichen Zhou, Shiji Song, Anke Xue, Keyou You, Hui Wu
Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 52 (2) (2022)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. Trans. Mach. Learn. Res. 2022 (2022)
Sangyun Shin, Stuart Golodetz, Madhu Vankadari, Kaichen Zhou, Andrew Markham, Niki Trigoni
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR. CoRR (2022)
Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. CoRR (2022)
Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR (2022)
Kaichen Zhou, Lanqing Hong, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture. CoRR (2021)
Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi U. Saputra, Niki Trigoni, Andrew Markham
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. AAAI (2021)
Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) (2020)