| 2026 | AAAI | Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views. | Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu |
| 2025 | CVPR | SplatMesh: Interactive 3D Segmentation and Editing Using Mesh-Based Gaussian Splatting. | Kaichen Zhou, Lanqing Hong, Xinhai Chang, Yingji Zhong, Enze Xie, Hao Dong, Zhihao Li, Yongxin Yang, Zhenguo Li, Wei Zhang |
| 2025 | IROS | SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping. | Mingxu Zhang, Xiaoqi Li, Jiahui Xu, Kaichen Zhou, Hojin Bae, Yan Shen, Chuyan Xiong, Hao Dong |
| 2025 | ICRA | TransDiff: Diffusion-Based Method for Manipulating Transparent Objects Using a Single RGB-D Image. | Haoxiao Wang, Kaichen Zhou, Binrui Gu, Zhiyuan Feng, Weijie Wang, Peilin Sun, Yicheng Xiao, Jianhua Zhang, Hao Dong |
| 2025 | Mobisys | Non-Line-of-Sight 3D Object Reconstruction via mmWave Surface Normal Estimation. | Laura Dodds, Tara Boroushaki, Kaichen Zhou, Fadel Adib |
| 2024 | CoRL | Autonomous Interactive Correction MLLM for Robust Robotic Manipulation. | Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong |
| 2024 | CVPR | Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation. | Sangyun Shin, Kaichen Zhou, Madhu Vankadari, Andrew Markham, Niki Trigoni |
| 2024 | ICASSP | SSL-Net: A Synergistic Spectral and Learning-Based Network for Efficient Bird Sound Classification. | Yiyuan Yang, Kaichen Zhou, Niki Trigoni, Andrew Markham |
| 2024 | IROS | Learning Generalizable Manipulation Policy with Adapter-Based Parameter Fine-Tuning. | Kai Lu, Kim Tien Ly, William Hebberd, Kaichen Zhou, Ioannis Havoutis, Andrew Markham |
| 2024 | IROS | WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization via Radiance Field. | Jialu Wang, Kaichen Zhou, Andrew Markham, Niki Trigoni |
| 2024 | IROS | SCANet: Correcting LEGO Assembly Errors with Self-Correct Assembly Network. | Yuxuan Wan, Kaichen Zhou, Jinhong Chen, Hao Dong |
| 2024 | ICRA | Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models. | Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni |
| 2024 | WACV | Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection. | Qian Xie, Ta Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni |
| 2023 | ICRA | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. | Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li |
| 2021 | AAAI | VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. | Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham |
| 2020 | MICCAI | 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 |