most citedVersatile Neural Processes for Learning Implicit Neural Representations

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution

Henan Wang, Xiaohan Pan, Runsen Feng +2

This document is an expanded version of a one-page abstract originally presented at the 2024 Data Compression Conference. It describes our proposed method for the video track of th…

cs.CV20241 cited

Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack

Ruofei Wang, Renjie Wan, Zongyu Guo +2

Backdoor attack aims to deceive a victim model when facing backdoor instances while maintaining its performance on benign data. Current methods use manual patterns or special pertu…

cs.CV2023

NVTC: Nonlinear Vector Transform Coding

Runsen Feng, Zongyu Guo, Weiping Li +1

In theory, vector quantization (VQ) is always better than scalar quantization (SQ) in terms of rate-distortion (R-D) performance. Recent state-of-the-art methods for neural image c…

eess.IV2023

Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression

Yixin Gao, Runsen Feng, Zongyu Guo +1

Despite a short history, neural image codecs have been shown to surpass classical image codecs in terms of rate-distortion performance. However, most of them suffer from significan…

cs.LG20231 cited

Versatile Neural Processes for Learning Implicit Neural Representations

Zongyu Guo, Cuiling Lan, Zhizheng Zhang +2

Representing a signal as a continuous function parameterized by neural network (a.k.a. Implicit Neural Representations, INRs) has attracted increasing attention in recent years. Ne…