activity
20222025
most citedHow to Cache Important Contents for Multi-modal Service in Dynamic Networks: A DRL-based Caching Scheme

18 citations · 53 across the 17 of their papers we have counts for

collaborators

17 papers

cs.MM2025

Leveraging LLMs to Create a Haptic Devices' Recommendation System

Yang Liu, Haiwei Dong, Abdulmotaleb El Saddik

Haptic technology has seen significant growth, yet a lack of awareness of existing haptic device design knowledge hinders development. This paper addresses these limitations by lev…

cs.CV20244 cited

OrientedFormer: An End-to-End Transformer-Based Oriented Object Detector in Remote Sensing Images

Jiaqi Zhao, Zeyu Ding, Yong Zhou +4

Oriented object detection in remote sensing images is a challenging task due to objects being distributed in multi-orientation. Recently, end-to-end transformer-based methods have…

cs.CY20241 cited

Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives

Hongzhou Chen, Xiaolin Duan, Abdulmotaleb El Saddik +1

Harnessing the transparent blockchain user behavior data, we construct the Political Betting Leaning Score (PBLS) to measure political leanings based on betting within Web3 predict…

cs.MM20246 cited

Tile-Weighted Rate-Distortion Optimized Packet Scheduling for 360 VR Video Streaming

Haopeng Wang, Haiwei Dong, Abdulmotaleb El Saddik

A key challenge of 360 VR video streaming is ensuring high quality with limited network bandwidth. Currently, most studies focus on tile-based adaptive bitrate streaming to…

cs.NI202418 cited

How to Cache Important Contents for Multi-modal Service in Dynamic Networks: A DRL-based Caching Scheme

Zhe Zhang, Marc St-Hilaire, Xin Wei +2

With the continuous evolution of networking technologies, multi-modal services that involve video, audio, and haptic contents are expected to become the dominant multimedia service…

cs.CV2024

Efficient Test-Time Adaptation of Vision-Language Models

Adilbek Karmanov, Dayan Guan, Shijian Lu +2

Test-time adaptation with pre-trained vision-language models has attracted increasing attention for tackling distribution shifts during the test time. Though prior studies have ach…