activity
20202026
most citedGround-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments

15 citations · 38 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2026

Xemo-Talker: Unlock Emotions Explicitly for Audio-Driven Talking Portrait Synthesis

Chaolong Yang, Yinuo Guo, Kai Yao +6

Precise emotion control in audio-driven talking heads remains a challenge due to the reliance on implicit emotion regulation in existing systems, which often leads to indirect and…

cs.CV2025

GeoSDF: Plane Geometry Diagram Synthesis via Signed Distance Field

Chengrui Zhang, Maizhen Ning, Tianyi Liu +4

Plane Geometry Diagram Synthesis has been a crucial task in computer graphics, with applications ranging from educational tools to AI-driven mathematical reasoning. Traditionally,…

cs.CV2025

Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking Portrait

Chaolong Yang, Kai Yao, Yuyao Yan +7

Audio-driven single-image talking portrait generation plays a crucial role in virtual reality, digital human creation, and filmmaking. Existing approaches are generally categorized…

cs.CV2025

Consistency Diffusion Models for Single-Image 3D Reconstruction with Priors

Chenru Jiang, Chengrui Zhang, Xi Yang +4

This paper delves into the study of 3D point cloud reconstruction from a single image. Our objective is to develop the Consistency Diffusion Model, exploring synergistic 2D and 3D…

cs.CV2024

Revisiting Mutual Information Maximization for Generalized Category Discovery

Zhaorui Tan, Chengrui Zhang, Xi Yang +2

Generalized category discovery presents a challenge in a realistic scenario, which requires the model's generalization ability to recognize unlabeled samples from known and unknown…

cs.CV2024

SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation

Kai Yao, Zhaorui Tan, Zixian Su +3

Open compound domain adaptation (OCDA) aims to transfer knowledge from a labeled source domain to a mix of unlabeled homogeneous compound target domains while generalizing to open…

cs.CV2022★ 8 cited

Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation

Zixian Su, Kai Yao, Xi Yang +3

Single-source domain generalization (SDG) in medical image segmentation is a challenging yet essential task as domain shifts are quite common among clinical image datasets. Previou…

cs.CV2022

Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation

Zixian Su, Kai Yao, Xi Yang +4

Unsupervised cross-modality medical image adaptation aims to alleviate the severe domain gap between different imaging modalities without using the target domain label. A key in th…

eess.IV2021★ 3 cited

PointNu-Net: Keypoint-assisted Convolutional Neural Network for Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification

Kai Yao, Kaizhu Huang, Jie Sun +1

Automatic nuclei segmentation and classification play a vital role in digital pathology. However, previous works are mostly built on data with limited diversity and small sizes, ma…

eess.IV2021★ 6 cited

AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training

Kai Yao, Kaizhu Huang, Jie Sun +1

We consider unsupervised cell nuclei segmentation in this paper. Exploiting the recently-proposed unpaired image-to-image translation between cell nuclei images and randomly synthe…

cs.CV2021★ 2 cited

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation

Jianyun Xu, Ruixiang Zhang, Jian Dou +3

Point clouds can be represented in many forms (views), typically, point-based sets, voxel-based cells or range-based images(i.e., panoramic view). The point-based view is geometric…

cs.RO2021★ 15 cited

Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments

Xin Wei, Jixin Lv, Jie Sun +1

This paper proposes a 3D LiDAR SLAM algorithm named Ground-SLAM, which exploits grounds in structured multi-floor environments to compress the pose drift mainly caused by LiDAR mea…

math.NA2020★ 4 cited

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data

Junyu Liu, Zichao Long, Ranran Wang +2

Random ordinary differential equations (RODEs), i.e. ODEs with random parameters, are often used to model complex dynamics. Most existing methods to identify unknown governing RODE…