1 citations · 2 across the 7 of their papers we have counts for
7 papers
Learning predictable and robust neural representations by straightening image sequences
Xueyan Niu, Cristina Savin, Eero P. Simoncelli
Prediction is a fundamental capability of all living organisms, and has been proposed as an objective for learning sensory representations. Recent work demonstrates that in primate…
Manifold Transform by Recurrent Cortical Circuit Enhances Robust Encoding of Familiar Stimuli
Weifan Wang, Xueyan Niu, Tai-Sing Lee
A ubiquitous phenomenon observed throughout the primate hierarchical visual system is the sparsification of the neural representation of visual stimuli as a result of familiarizati…
Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding
Weizhi Fei, Xueyan Niu, Guoqing Xie +4
Current Large Language Models (LLMs) face inherent limitations due to their pre-defined context lengths, which impede their capacity for multi-hop reasoning within extensive textua…
Extreme Video Compression with Pre-trained Diffusion Models
Bohan Li, Yiming Liu, Xueyan Niu +3
Diffusion models have achieved remarkable success in generating high quality image and video data. More recently, they have also been used for image compression with high perceptua…
A Hybrid Wireless Image Transmission Scheme with Diffusion
Xueyan Niu, Xu Wang, Deniz Gündüz +3
We propose a hybrid joint source-channel coding (JSCC) scheme, in which the conventional digital communication scheme is complemented with a generative refinement component to impr…
Conditional Rate-Distortion-Perception Trade-Off
Xueyan Niu, Deniz Gündüz, Bo Bai +1
Recent advances in machine learning-aided lossy compression are incorporating perceptual fidelity into the rate-distortion theory. In this paper, we study the rate-distortion-perce…