20 citations · 32 across the 11 of their papers we have counts for
11 papers
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations
Thomas Tanay, Aleš Leonardis, Matteo Maggioni
While current multi-frame restoration methods combine information from multiple input images using 2D alignment techniques, recent advances in novel view synthesis are paving the w…
Tunable Convolutions with Parametric Multi-Loss Optimization
Matteo Maggioni, Thomas Tanay, Francesca Babiloni +2
Behavior of neural networks is irremediably determined by the specific loss and data used during training. However it is often desirable to tune the model at inference time based o…
HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation
Linfang Zheng, Chen Wang, Yinghan Sun +5
In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC)…
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai +10
Learning-based methods to solve dense 3D vision problems typically train on 3D sensor data. The respectively used principle of measuring distances provides advantages and drawbacks…
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment
Xue Hu, Xinghui Li, Benjamin Busam +3
For visual manipulation tasks, we aim to represent image content with semantically meaningful features. However, learning implicit representations from images often lacks interpret…
Prompting for Multi-Modal Tracking
Jinyu Yang, Zhe Li, Feng Zheng +2
Multi-modal tracking gains attention due to its ability to be more accurate and robust in complex scenarios compared to traditional RGB-based tracking. Its key lies in how to fuse…