most citedContrastive Multi-Level Graph Neural Networks for Session-based Recommendation

28 citations · 28 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR202328 cited

Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation

Fuyun Wang, Xingyu Gao, Zhenyu Chen +1

Session-based recommendation (SBR) aims to predict the next item at a certain time point based on anonymous user behavior sequences. Existing methods typically model session repres…

cs.SE20233 cited

LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities

Shengcheng Yu, Chunrong Fang, Yuchen Ling +2

This paper investigates the application of large language models (LLM) in the domain of mobile application test script generation. Test script generation is a vital component of so…

cs.CV20235 cited

Tracking Anything in High Quality

Jiawen Zhu, Zhenyu Chen, Zeqi Hao +9

Visual object tracking is a fundamental video task in computer vision. Recently, the notably increasing power of perception algorithms allows the unification of single/multiobject…

cs.CV2023

3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW

Shijie Chang, Zeqi Hao, Ben Kang +6

In this paper, we introduce 3rd place solution for PVUW2023 VSS track. Semantic segmentation is a fundamental task in computer vision with numerous real-world applications. We have…

cs.CV2023

Local-to-Global Panorama Inpainting for Locale-Aware Indoor Lighting Prediction

Jiayang Bai, Zhen He, Shan Yang +4

Predicting panoramic indoor lighting from a single perspective image is a fundamental but highly ill-posed problem in computer vision and graphics. To achieve locale-aware and robu…