20 citations · 37 across the 6 of their papers we have counts for
7 papers · 1 filter
WGDnet: Wishart-guided Geometric-aware Deep Network for PolSAR Image Classification
Junfei Shi, Haojia Zhang, Yu Cheng +1
Polarimetric Synthetic Aperture Radar (PolSAR) classification underpins all-weather Earth observation. Conventional Wishart methods depend on rigid handcrafted operators with limit…
Multiview Manifold Evidential Fusion for PolSAR Image Classification
Junfei Shi, Haojia Zhang, Haiyan Jin +5
Polarimetric Synthetic Aperture Radar (PolSAR) covariance matrices and their extracted multi-features - such as scattering angle, entropy, texture, and boundary descriptors - provi…
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering
Qimin Chen, Zhiqin Chen, Hang Zhou +1
We present ShaDDR, an example-based deep generative neural network which produces a high-resolution textured 3D shape through geometry detailization and conditional texture generat…
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
Aditya Vora, Akshay Gadi Patil, Hao Zhang
We present a volume rendering-based neural surface reconstruction method that takes as few as three disparate RGB images as input. Our key idea is to regularize the reconstruction,…
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
Hao Zhang, Yanbo Xu, Tianyuan Dai +2
The ability to create high-quality 3D faces from a single image has become increasingly important with wide applications in video conferencing, AR/VR, and advanced video editing in…
Predictive and Generative Neural Networks for Object Functionality
Ruizhen Hu, Zihao Yan, Jingwen Zhang +4
Humans can predict the functionality of an object even without any surroundings, since their knowledge and experience would allow them to "hallucinate" the interaction or usage sce…