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20062023
most citedDeep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

539 citations · 1.1k across the 28 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 2 cited

PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flow

Lin Yuan, Kai Liang, Xiao Pu +5

This paper proposes a novel paradigm for facial privacy protection that unifies multiple characteristics including anonymity, diversity, reversibility and security within a single…

cs.CV2023★ 3 cited

Fast and Stable Diffusion Inverse Solver with History Gradient Update

Linchao He, Hongyu Yan, Mengting Luo +8

Diffusion models have recently been recognised as efficient inverse problem solvers due to their ability to produce high-quality reconstruction results without relying on pairwise…

cs.CV2023

Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond

Wenchao Du, Hu Chen, Yi Zhang +1

Image denoising is a typical ill-posed problem due to complex degradation. Leading methods based on normalizing flows have tried to solve this problem with an invertible transforma…

cs.CV2022

Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images

Yan Zhang, Xiyuan Gao, Qingyan Duan +3

Very high-resolution (VHR) remote sensing (RS) image classification is the fundamental task for RS image analysis and understanding. Recently, transformer-based models demonstrated…

cs.CV2022

Depth Completion using Geometry-Aware Embedding

Wenchao Du, Hu Chen, Hongyu Yang +1

Exploiting internal spatial geometric constraints of sparse LiDARs is beneficial to depth completion, however, has been not explored well. This paper proposes an efficient method t…

cs.CV2020★ 234 cited

PP-YOLO: An Effective and Efficient Implementation of Object Detector

Xiang Long, Kaipeng Deng, Guanzhong Wang +8

Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary…