3 citations · 9 across the 13 of their papers we have counts for
15 papers
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo +7
Single-cell RNA sequencing (scRNA-seq) is essential for decoding tumor heterogeneity. However, pan-cancer research still faces two key challenges: learning discriminative and effic…
Cross3DReg: Towards a Large-scale Real-world Cross-source Point Cloud Registration Benchmark
Zongyi Xu, Zhongpeng Lang, Yilong Chen +6
Cross-source point cloud registration, which aims to align point cloud data from different sensors, is a fundamental task in 3D vision. However, compared to the same-source point c…
CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction
Zhiwei Ning, Zhaojiang Liu, Xuanang Gao +4
Multi-modal methods based on camera and LiDAR sensors have garnered significant attention in the field of 3D detection. However, many prevalent works focus on single or partial sta…
PointGAC: Geometric-Aware Codebook for Masked Point Cloud Modeling
Abiao Li, Chenlei Lv, Yuming Fang +3
Most masked point cloud modeling (MPM) methods follow a regression paradigm to reconstruct the coordinate or feature of masked regions. However, they tend to over-constrain the mod…
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
Junjie Chen, Weilong Chen, Yifan Zuo +1
Category-agnostic pose estimation aims to locate keypoints on query images according to a few annotated support images for arbitrary novel classes. Existing methods generally extra…
Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
Jiebin Yan, Ziwen Tan, Jiale Rao +3
Blind panoramic image quality assessment (BPIQA) has recently brought new challenge to the visual quality community, due to the complex interaction between immersive content and hu…
Max360IQ: Blind Omnidirectional Image Quality Assessment with Multi-axis Attention
Jiebin Yan, Ziwen Tan, Yuming Fang +2
Omnidirectional image, also called 360-degree image, is able to capture the entire 360-degree scene, thereby providing more realistic immersive feelings for users than general 2D i…
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images
Jiebin Yan, Jiale Rao, Xuelin Liu +3
Omnidirectional image quality assessment (OIQA) has been one of the hot topics in IQA with the continuous development of VR techniques, and achieved much success in the past few ye…
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
Xiaoshui Huang, Zhou Huang, Yifan Zuo +4
The discriminative feature is crucial for point cloud registration. Recent methods improve the feature discriminative by distinguishing between non-overlapping and overlapping regi…
GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
Abiao Li, Chenlei Lv, Guofeng Mei +3
Learning meaningful local and global information remains a challenge in point cloud segmentation tasks. When utilizing local information, prior studies indiscriminately aggregates…
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
Xiaoshui Huang, Zhou Huang, Sheng Li +5
The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained mode…
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
Yifan Zuo, Jiacheng Xie, Yuming Fang +2
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i.e., noise estimation and non-bl…
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
Rejecting correspondence outliers enables to boost the correspondence quality, which is a critical step in achieving high point cloud registration accuracy. The current state-of-th…
GenReg: Deep Generative Method for Fast Point Cloud Registration
Xiaoshui Huang, Zongyi Xu, Guofeng Mei +4
Accurate and efficient point cloud registration is a challenge because the noise and a large number of points impact the correspondence search. This challenge is still a remaining…
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
Xiaoshui Huang, Wentao Qu, Yifan Zuo +2
The existing state-of-the-art point descriptor relies on structure information only, which omit the texture information. However, texture information is crucial for our humans to d…