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Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jun 17, 2024 · Artificial Intelligence

Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges

Xiaohongshu’s audio‑video architecture team secured second place in the RAIM challenge and first in the S‑UGC VQA challenge at CVPR NTIRE 2024 by improving generative image restoration with SUPIR, DeSRA and a Fusion model, and enhancing video quality assessment using LIQE, Q‑Align and FAST‑VQA, then deploying these methods for live‑stream denoising, intelligent transcoding and cloud‑based super‑resolution, achieving high PLCC/SROCC scores and up to 33 % bandwidth savings.

AICVPR NTIRE 2024Super-Resolution
0 likes · 25 min read
Xiaohongshu Audio-Video Architecture Team Wins Top Awards in CVPR NTIRE 2024 Challenges
Kuaishou Tech
Kuaishou Tech
Mar 8, 2024 · Artificial Intelligence

Three Selected Papers from WSDM 2024 on Recommendation Systems

This article highlights three oral papers accepted at WSDM 2024 that address cross‑domain sequential recommendation, extremely sparse feedback denoising recommendation, and automated label crafting for short‑video recommendation, providing their abstracts, author lists, and links to PDFs and source code.

AIWSDM2024cross-domain
0 likes · 7 min read
Three Selected Papers from WSDM 2024 on Recommendation Systems
Youku Technology
Youku Technology
Jun 1, 2022 · Artificial Intelligence

AI-Powered Restoration of Classic Animation Videos Using Deep Learning

Youku’s Digital Media Lab built an AI‑powered restoration pipeline that uses multi‑frame super‑resolution, denoising, deblocking, deblurring and GAN‑based detail generation to automatically revive classic animated films, removing noise and artifacts while preserving fine lines, enabling high‑definition viewing for modern audiences.

AISuper-Resolutionanimation
0 likes · 8 min read
AI-Powered Restoration of Classic Animation Videos Using Deep Learning
Python Programming Learning Circle
Python Programming Learning Circle
Feb 28, 2022 · Artificial Intelligence

Time Series Data Preprocessing: Missing Value Imputation, Denoising, and Outlier Detection

This article explains essential time series preprocessing techniques—including data sorting, handling missing values with interpolation methods, applying rolling averages, Fourier transform denoising, and detecting anomalies using rolling statistics, isolation forests, and K‑means clustering—illustrated with Python code on the AirPassengers and Google stock datasets.

Pythondata preprocessingdenoising
0 likes · 9 min read
Time Series Data Preprocessing: Missing Value Imputation, Denoising, and Outlier Detection
Kuaishou Tech
Kuaishou Tech
Oct 12, 2021 · Artificial Intelligence

Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation

CONDE, a concept‑aware denoising graph neural network proposed by Wuhan University and Kuaishou, leverages heterogeneous three‑part graphs, attention‑based graph convolutions, and Gumbel‑Softmax‑driven edge sampling to filter noisy user‑video interactions, achieving up to 6 % AUC improvement on short‑video and e‑commerce recommendation tasks.

AIdenoisinggraph neural network
0 likes · 10 min read
Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation
iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 19, 2019 · Artificial Intelligence

iQIYI ZoomAI Video Enhancement Technology: Applications and Technical Details

Jiang Zidong explains iQIYI's ZoomAI video enhancement tech, covering super‑resolution, denoising/sharpening, color correction, scratch removal, and frame interpolation, and its modular deployment across business lines for restoring classic content and boosting low‑resolution media, achieving massive efficiency gains.

AISuper-ResolutionZoomAI
0 likes · 29 min read
iQIYI ZoomAI Video Enhancement Technology: Applications and Technical Details