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ORCIDKaichen Zhou
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2020 – today
- 2024
[j3]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): 6012-6019 (2024)- [c11]Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni:
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. CVPR 2024: 4060-4069 - [c10]Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham:
SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification. ICASSP 2024: 926-930 - [c9]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: 17976-17982 - [c8]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: 644-653 - [i24]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 abs/2402.04648 (2024) - [i23]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization. CoRR abs/2403.15272 (2024) - [i22]Yuxuan Wan, Kaichen Zhou, Jinhong Chen, Hao Dong:
SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network. CoRR abs/2403.18195 (2024) - [i21]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 abs/2405.11158 (2024) - [i20]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 abs/2405.17418 (2024) - [i19]Kaichen Zhou:
Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry. CoRR abs/2406.04301 (2024) - [i18]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 abs/2406.04339 (2024) - [i17]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 abs/2406.11548 (2024) - [i16]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 abs/2407.06168 (2024) - [i15]Zhenyu Bao, Guibiao Liao, Kaichen Zhou, Kanglin Liu, Qing Li, Guoping Qiu:
LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting. CoRR abs/2408.00254 (2024) - [i14]Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni:
MambaLoc: Efficient Camera Localisation via State Space Model. CoRR abs/2408.09680 (2024) - [i13]Kaichen Zhou, Yang Cao, Taewhan Kim, Hao Zhao, Hao Dong, Kai Ming Ting, Ye Zhu:
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations. CoRR abs/2410.00713 (2024) - 2023
- [c7]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: 7090-7096 - [c6]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 - [c5]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. NeurIPS 2023 - [i12]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 abs/2305.11031 (2023) - [i11]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 abs/2306.05584 (2023) - [i10]Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham:
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification. CoRR abs/2309.08072 (2023) - [i9]Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang, Andrew Markham, Niki Trigoni:
DynPoint: Dynamic Neural Point For View Synthesis. CoRR abs/2310.18999 (2023) - [i8]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 abs/2311.16592 (2023) - [i7]Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni:
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. CoRR abs/2312.11269 (2023) - [i6]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 abs/2312.15268 (2023) - [i5]Kaichen Zhou, Lanqing Hong, Enze Xie, Yongxin Yang, Zhenguo Li, Wei Zhang:
SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields. CoRR abs/2312.15856 (2023) - 2022
- [j2]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) - [j1]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): 716-727 (2022) - [c4]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: 8500-8510 - [c3]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: 125-142 - [i4]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 abs/2203.11113 (2022) - [i3]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 abs/2209.06351 (2022) - [i2]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 abs/2209.10471 (2022) - 2021
- [c2]Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. AAAI 2021: 6165-6173 - [i1]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 abs/2109.05765 (2021) - 2020
- [c1]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: 156-165
Coauthor Index
aka: Niki Trigoni
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