9 citations · 17 across the 12 of their papers we have counts for
13 papers
ManiSplat: Manipulation Trajectory Synthesis from Monocular Video via Decoupled 3D Gaussian Splatting
Wenhao Hu, Haonan Zhou, Liu Liu +5
Reconstructing dynamic and interactive 3D scenes from real-world observations remains a fundamental challenge in computer vision and robotics. While recent advances in 3D Gaussian…
MeMix: Writing Less, Remembering More for Streaming 3D Reconstruction
Jiacheng Dong, Huan Li, Sicheng Zhou +3
Reconstruction is a fundamental task in 3D vision and a fundamental capability for spatial intelligence. Particularly, streaming 3D reconstruction is central to real-time spatial p…
Hand3R: Online 4D Hand-Scene Reconstruction in the Wild
Wendi Hu, Haonan Zhou, Wenhao Hu +1
For Embodied AI, jointly reconstructing dynamic hands and the dense scene context is crucial for understanding physical interaction. However, most existing methods recover isolated…
RecurGS: Interactive Scene Modeling via Discrete-State Recurrent Gaussian Fusion
Wenhao Hu, Haonan Zhou, Zesheng Li +4
Recent advances in 3D scene representations have enabled high-fidelity novel view synthesis, yet adapting to discrete scene changes and constructing interactive 3D environments rem…
IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion
Wenhao Hu, Zesheng Li, Haonan Zhou +5
Reconstructing complete and interactive 3D scenes remains a fundamental challenge in computer vision and robotics, particularly due to persistent object occlusions and limited sens…
DSG-World: Learning a 3D Gaussian World Model from Dual State Videos
Wenhao Hu, Xuexiang Wen, Xi Li +1
Building an efficient and physically consistent world model from limited observations is a long standing challenge in vision and robotics. Many existing world modeling pipelines ar…
Pointmap Association and Piecewise-Plane Constraint for Consistent and Compact 3D Gaussian Segmentation Field
Wenhao Hu, Wenhao Chai, Shengyu Hao +4
Achieving a consistent and compact 3D segmentation field is crucial for maintaining semantic coherence across views and accurately representing scene structures. Previous 3D scene…
CityCraft: A Real Crafter for 3D City Generation
Jie Deng, Wenhao Chai, Junsheng Huang +9
City scene generation has gained significant attention in autonomous driving, smart city development, and traffic simulation. It helps enhance infrastructure planning and monitorin…
CityGen: Infinite and Controllable City Layout Generation
Jie Deng, Wenhao Chai, Jianshu Guo +6
The recent surge in interest in city layout generation underscores its significance in urban planning and smart city development. The task involves procedurally or automatically ge…
A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision
Zhonghan Zhao, Wenhao Chai, Shengyu Hao +6
Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive su…
Improving 2D face recognition via fine-level facial depth generation and RGB-D complementary feature learning
Wenhao Hu
Face recognition in complex scenes suffers severe challenges coming from perturbations such as pose deformation, ill illumination, partial occlusion. Some methods utilize depth est…
Deep Learning Methods for Small Molecule Drug Discovery: A Survey
Wenhao Hu, Yingying Liu, Xuanyu Chen +4
With the development of computer-assisted techniques, research communities including biochemistry and deep learning have been devoted into the drug discovery field for over a decad…
Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal
Xuechen Guo, Wenhao Hu, Chiming Ni +3
Medical images often incorporate doctor-added markers that can hinder AI-based diagnosis. This issue highlights the need of inpainting techniques to restore the corrupted visual co…