114 citations · 141 across the 7 of their papers we have counts for
8 papers
The Direct Integration Theorem: A Rigorous Framework for Consistent Discrete Solutions of the Inverse Radon Problem
Mikhail G. Mozerov
This paper presents a novel Direct Integration Theorem (DIT), derived as a non-trivial corollary of the classical Central Slice Theorem (CST). The DIT provides a mathematically con…
3D Shapes Local Geometry Codes Learning with SDF
Shun Yao, Fei Yang, Yongmei Cheng +1
A signed distance function (SDF) as the 3D shape description is one of the most effective approaches to represent 3D geometry for rendering and reconstruction. Our work is inspired…
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Fei Yang, Luis Herranz, Yongmei Cheng +1
Neural image compression leverages deep neural networks to outperform traditional image codecs in rate-distortion performance. However, the resulting models are also heavy, computa…
Variable Rate Deep Image Compression with Modulated Autoencoder
Fei Yang, Luis Herranz, Joost van de Weijer +3
Variable rate is a requirement for flexible and adaptable image and video compression. However, deep image compression methods are optimized for a single fixed rate-distortion trad…
Temporal Coherence for Active Learning in Videos
Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga +5
Autonomous driving systems require huge amounts of data to train. Manual annotation of this data is time-consuming and prohibitively expensive since it involves human resources. Th…
Sparse data interpolation using the geodesic distance affinity space
Mikhail G. Mozerov, Fei Yang, Joost van de Weijer
In this paper, we adapt the geodesic distance-based recursive filter to the sparse data interpolation problem. The proposed technique is general and can be easily applied to any ki…