116 citations · 217 across the 12 of their papers we have counts for
12 papers
Generating Human-AI Collaborative Design Sequence for 3D Assets via Differentiable Operation Graph
Xiaoyang Huang, Bingbing Ni, Wenjun Zhang
The emergence of 3D artificial intelligence-generated content (3D-AIGC) has enabled rapid synthesis of intricate geometries. However, a fundamental disconnect persists between AI-g…
InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
Yi Zhang, Xiaoyang Huang, Yishun Dou +5
We present InstantSticker, a disentangled reconstruction pipeline based on Image-Based Lighting (IBL), which focuses on highly realistic decal blending, simulates stickers attached…
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge
Jiancheng Yang, Rui Shi, Liang Jin +22
Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the…
Frequency-Modulated Point Cloud Rendering with Easy Editing
Yi Zhang, Xiaoyang Huang, Bingbing Ni +2
We develop an effective point cloud rendering pipeline for novel view synthesis, which enables high fidelity local detail reconstruction, real-time rendering and user-friendly edit…
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio
Xiaoyang Huang, Yanjun Wang, Yang Liu +4
Spatial audio, which focuses on immersive 3D sound rendering, is widely applied in the acoustic industry. One of the key problems of current spatial audio rendering methods is the…
Boosting Point Clouds Rendering via Radiance Mapping
Xiaoyang Huang, Yi Zhang, Bingbing Ni +3
Recent years we have witnessed rapid development in NeRF-based image rendering due to its high quality. However, point clouds rendering is somehow less explored. Compared to NeRF-b…
Representation-Agnostic Shape Fields
Xiaoyang Huang, Jiancheng Yang, Yanjun Wang +5
3D shape analysis has been widely explored in the era of deep learning. Numerous models have been developed for various 3D data representation formats, e.g., MeshCNN for meshes, Po…
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang +2
This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available. Inspired by consistency of visual sa…
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes
Jiancheng Yang, Yi He, Xiaoyang Huang +4
This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers
Jiancheng Yang, Haoran Deng, Xiaoyang Huang +2
Diagnosis and treatment of multiple pulmonary nodules are clinically important but challenging. Prior studies on nodule characterization use solitary-nodule approaches on multiple…
Reinventing 2D Convolutions for 3D Images
Jiancheng Yang, Xiaoyang Huang, Yi He +4
There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are gene…
Evaluating and Boosting Uncertainty Quantification in Classification
Xiaoyang Huang, Jiancheng Yang, Linguo Li +3
Emergence of artificial intelligence techniques in biomedical applications urges the researchers to pay more attention on the uncertainty quantification (UQ) in machine-assisted me…