activity
20202026
most citedTransferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

StreamEMS: Streaming Video Understanding with Self-Evolving Memory Scheme for Vision-Language Models

Yuxin Liu, Peiqin Zhuang, Yali Wang

Recently, many streaming video understanding methods have been proposed by constructing an external memory to store historical data for computational reduction. Most methods focus…

cs.CV2025

A Renaissance of Explicit Motion Information Mining from Transformers for Action Recognition

Peiqin Zhuang, Lei Bai, Yichao Wu +4

Recently, action recognition has been dominated by transformer-based methods, thanks to their spatiotemporal contextual aggregation capacities. However, despite the significant pro…

cs.AI2025

RadarQA: Multi-modal Quality Analysis of Weather Radar Forecasts

Xuming He, Zhiyuan You, Junchao Gong +5

Quality analysis of weather forecasts is an essential topic in meteorology. Although traditional score-based evaluation metrics can quantify certain forecast errors, they are still…

physics.geo-ph2025

OpenSWI: A Massive-Scale Benchmark Dataset for Surface Wave Dispersion Curve Inversion

Feng Liu, Sijie Zhao, Xinyu Gu +8

Surface wave dispersion curve inversion plays a critical role in both shallow resource exploration and deep geological studies, yet it remains hindered by sensitivity to initial mo…

cs.MA2025

Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization

Ying Zhu, Heng Zhou, Rui Su +2

Recently, many approaches, such as Chain-of-Thought (CoT) prompting and Multi-Agent Debate (MAD), have been proposed to further enrich Large Language Models' (LLMs) complex problem…

cs.CV2021★ 2 cited

Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021

Haisheng Su, Peiqin Zhuang, Yukun Li +4

This technical report presents an overview of our solution used in the submission to 2021 HACS Temporal Action Localization Challenge on both Supervised Learning Track and Weakly-S…