6 papers
LLMAtKGE: Large Language Models as Explainable Attackers against Knowledge Graph Embeddings
Ting Li, Yang Yang, Yipeng Yu +3
Adversarial attacks on knowledge graph embeddings (KGE) aim to disrupt the model's ability of link prediction by removing or inserting triples. A recent black-box method has attemp…
LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation
Chang Liu, Henghui Ding, Kaining Ying +46
This report presents an overview of the 7th Large-scale Video Object Segmentation (LSVOS) Challenge held in conjunction with ICCV 2025. Besides the two traditional tracks of LSVOS…
The 1st Solution for MOSEv1 Challenge on LSVOS 2025: CGFSeg
Tingmin Li, Yixuan Li, Yang Yang
Video Object Segmentation (VOS) aims to track and segment specific objects across entire video sequences, yet it remains highly challenging under complex real-world scenarios. The…
The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition
Sishun Pan, Xixian Wu, Tingmin Li +4
This paper presents a data-free, parameter-isolation-based continual learning algorithm we developed for the sequential task continual learning track of the 2nd Greater Bay Area In…
Proposal Report for the 2nd SciCAP Competition 2024
Pengpeng Li, Tingmin Li, Jingyuan Wang +2
In this paper, we propose a method for document summarization using auxiliary information. This approach effectively summarizes descriptions related to specific images, tables, and…
The Championship-Winning Solution for the 5th CLVISION Challenge 2024
Sishun Pan, Tingmin Li, Yang Yang
In this paper, we introduce our approach to the 5th CLVision Challenge, which presents distinctive challenges beyond traditional class incremental learning. Unlike standard setting…