17 citations · 29 across the 8 of their papers we have counts for
10 papers · 1 filter
Deep Light Pollution Removal in Night Cityscape Photographs
Hao Wang, Xiaolin Wu, Xi Zhang +1
Nighttime photography is severely degraded by light pollution induced by pervasive artificial lighting in urban environments. After long-range scattering and spatial diffusion, unw…
Anisotropic Pooling for LUT-realizable CNN Image Restoration
Xi Zhang, Xiaolin Wu
Table look-up realization of image restoration CNNs has the potential of achieving competitive image quality while being much faster and resource frugal than the straightforward CN…
Receptive Field Expanded Look-Up Tables for Vision Inference: Advancing from Low-level to High-level Tasks
Xi Zhang, Xiaolin Wu
Recently, several look-up table (LUT) methods were developed to greatly expedite the inference of CNNs in a classical strategy of trading space for speed. However, these LUT method…
Class-Invariant Test-Time Augmentation for Domain Generalization
Zhicheng Lin, Xiaolin Wu, Xi Zhang
Deep models often suffer significant performance degradation under distribution shifts. Domain generalization (DG) seeks to mitigate this challenge by enabling models to generalize…
Learning Hierarchical Sparse Transform Coding for 3DGS Compression
Hao Xu, Xiaolin Wu, Xi Zhang
Current 3DGS compression methods largely forego the neural analysis-synthesis transform, which is a crucial component in learned signal compression systems. As a result, redundancy…
Attention-guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton
Xi Zhang, Xiaolin Wu
We propose a deep learning system for attention-guided dual-layer image compression (AGDL). In the AGDL compression system, an image is encoded into two layers, a base layer and an…