activity
20172026
most citedSINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

355 citations · 428 across the 18 of their papers we have counts for

collaborators

20 papers

cs.CV2026

InterSing: Explicit Interaction Dynamics for 3D Duet Singing Animation and Beyond

Yihan Zhou, Zikai Huang, Yuyang Yu +3

We present InterSing, a framework for generating realistic 3D head animations for duet singing performances. Unlike solo singing, duet performance requires each singer to balance i…

cs.GR2026

Learn2Chat: Rethinking Dyadic Talking Heads via Interaction-Modulated Monologic Priors

Zikai Huang, Siyue Chen, Xuemiao Xu +4

Dyadic conversational motion generation is essential for realistic interactive digital humans. Existing approaches typically model conversational behaviors within unified dyadic ge…

cs.CV2025

StableGuard: Towards Unified Copyright Protection and Tamper Localization in Latent Diffusion Models

Haoxin Yang, Bangzhen Liu, Xuemiao Xu +5

The advancement of diffusion models has enhanced the realism of AI-generated content but also raised concerns about misuse, necessitating robust copyright protection and tampering…

cs.CV2025

Seeing 3D Through 2D Lenses: 3D Few-Shot Class-Incremental Learning via Cross-Modal Geometric Rectification

Tuo Xiang, Xuemiao Xu, Bangzhen Liu +3

The rapid growth of 3D digital content necessitates expandable recognition systems for open-world scenarios. However, existing 3D class-incremental learning methods struggle under…

cs.GR2025

Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation

Zikai Huang, Yihan Zhou, Xuemiao Xu +4

Singing-driven 3D head animation is a challenging yet promising task with applications in virtual avatars, entertainment, and education. Unlike speech, singing involves richer emot…

cs.CV2025

StarPose: 3D Human Pose Estimation via Spatial-Temporal Autoregressive Diffusion

Haoxin Yang, Weihong Chen, Xuemiao Xu +5

Monocular 3D human pose estimation remains a challenging task due to inherent depth ambiguities and occlusions. Compared to traditional methods based on Transformers or Convolution…

cs.CV2025

ViewSRD: 3D Visual Grounding via Structured Multi-View Decomposition

Ronggang Huang, Haoxin Yang, Yan Cai +3

3D visual grounding aims to identify and localize objects in a 3D space based on textual descriptions. However, existing methods struggle with disentangling targets from anchors in…

cs.CV2025

ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection

Yiliang Chen, Zhixi Li, Cheng Xu +6

Surgical triplet detection is a critical task in surgical video analysis. However, existing datasets like CholecT50 lack precise spatial bounding box annotations, rendering triplet…

cs.CV2025

SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation

Jingdan Kang, Haoxin Yang, Yan Cai +4

Image generation technology has brought significant advancements across various fields but has also raised concerns about data misuse and potential rights infringements, particular…

cs.CV2025

SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose Estimation

Weihong Chen, Xuemiao Xu, Haoxin Yang +5

Existing 3D Human Pose Estimation (HPE) methods achieve high accuracy but suffer from computational overhead and slow inference, while knowledge distillation methods fail to addres…

cs.CV2025★ 6 cited

Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning

Bangzhen Liu, Chenxi Zheng, Xuemiao Xu +3

The vulnerability of 3D point cloud analysis to unpredictable rotations poses an open yet challenging problem: orientation-aware 3D domain generalization. Cross-domain robustness a…

cs.CV2024★ 1 cited

G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priors

Haoxin Yang, Xuemiao Xu, Cheng Xu +5

Reversible face anonymization, unlike traditional face pixelization, seeks to replace sensitive identity information in facial images with synthesized alternatives, preserving priv…

cs.CV2024★ 1 cited

VrdONE: One-stage Video Visual Relation Detection

Xinjie Jiang, Chenxi Zheng, Xuemiao Xu +4

Video Visual Relation Detection (VidVRD) focuses on understanding how entities interact over time and space in videos, a key step for gaining deeper insights into video scenes beyo…

cs.GR2024

Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation

Zikai Huang, Xuemiao Xu, Cheng Xu +4

Dance, as an art form, fundamentally hinges on the precise synchronization with musical beats. However, achieving aesthetically pleasing dance sequences from music is challenging,…

cs.CV2023★ 21 cited

Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval

Yi Xie, Huaidong Zhang, Xuemiao Xu +2

Previous Knowledge Distillation based efficient image retrieval methods employs a lightweight network as the student model for fast inference. However, the lightweight student mode…

cs.CV2021

From Continuity to Editability: Inverting GANs with Consecutive Images

Yangyang Xu, Yong Du, Wenpeng Xiao +2

Existing GAN inversion methods are stuck in a paradox that the inverted codes can either achieve high-fidelity reconstruction, or retain the editing capability. Having only one of…

cs.CV2021★ 32 cited

Deep Texture-Aware Features for Camouflaged Object Detection

Jingjing Ren, Xiaowei Hu, Lei Zhu +5

Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings. This paper presents to amplify the subtle texture diffe…

cs.CV2020★ 4 cited

Context-aware and Scale-insensitive Temporal Repetition Counting

Huaidong Zhang, Xuemiao Xu, Guoqiang Han +1

Temporal repetition counting aims to estimate the number of cycles of a given repetitive action. Existing deep learning methods assume repetitive actions are performed in a fixed t…

cs.CV2018★ 355 cited

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

Xiaowei Hu, Xuemiao Xu, Yongjie Xiao +4

Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based al…

physics.flu-dyn2017★ 8 cited

Towards High-quality Visualization of Superfluid Vortices

Yulong Guo, Xiaopei Liu, Chi Xiong +2

Superfluidity is a special state of matter exhibiting macroscopic quantum phenomena and acting like a fluid with zero viscosity. In such a state, superfluid vortices exist as phase…