output
20242026
most citedAn Overview of the JPEG AI Learning-Based Image Coding Standard

5 citations

6 papers

cs.IR2026

Uncertainty-Calibrated Recommendations for Low-Active Users

Bob Junyi Zou, Sai Li, Tianyun Sun +2

A fundamental challenge in recommender systems is balancing reliability for Low-Active Users (LAUs) with diversity for High-Active Users (HAUs). The key to this balance lies in qua…

eess.IV2025★ 5 cited

An Overview of the JPEG AI Learning-Based Image Coding Standard

Semih Esenlik, Yaojun Wu, Zhaobin Zhang +5

JPEG AI is an emerging learning-based image coding standard developed by Joint Photographic Experts Group (JPEG). The scope of the JPEG AI is the creation of a practical learning-b…

cs.SE2025

IntrinTrans: LLM-based Intrinsic Code Translator for RISC-V Vector

Liutong Han, Zhiyuan Tan, Hongbin Zhang +4

The use of intrinsic functions to leverage hardware-specific capabilities is a crucial approach for optimizing library performance. Many mainstream libraries implement a large numb…

eess.IV2025★ 1 cited

Neural Video Compression with In-Loop Contextual Filtering and Out-of-Loop Reconstruction Enhancement

Yaojun Wu, Chaoyi Lin, Yiming Wang +4

This paper explores the application of enhancement filtering techniques in neural video compression. Specifically, we categorize these techniques into in-loop contextual filtering…

physics.comp-ph2025★ 3 cited

Bridging Quantum Mechanics to Liquid Properties via a Universal Organic Force Field

Tianze Zheng, Xingyuan Xu, Zhi Wang +10

Molecular dynamics simulations are essential tools for unraveling atomic-level insights into the structure and behavior of condensed-phase systems. However, the universal and accur…

cs.CV2024★ 2 cited

ChatSearch: a Dataset and a Generative Retrieval Model for General Conversational Image Retrieval

Zijia Zhao, Longteng Guo, Tongtian Yue +5

In this paper, we investigate the task of general conversational image retrieval on open-domain images. The objective is to search for images based on interactive conversations bet…