40 citations · 225 across the 25 of their papers we have counts for
26 papers
Embodied Multimedia: A Tutorial
Yang Liu, Wei Zuo, Guanwei Zhao +4
Traditional multimedia technology has been built around optimizing content delivery for human observers, from perceptually driven compression standards to human-centric quality met…
Selectivity Matters: Source Node Influence Pruning for Unsupervised Graph Domain Adaptation
Ridong Han, Yawen Shen, Zhongnian Li +3
Unsupervised Graph Domain Adaptation (UGDA) aims to facilitate knowledge transfer from a labeled source graph to an unlabeled target graph by mitigating cross-domain distribution s…
Vision-Language Guided Hyperspectral Object Tracking via Semantics Fusion and Contextual Template Updating
Rui Yao, Yuhong Zhang, Kunyang Sun +4
Hyperspectral object tracking (HOT) leverages the rich spectral information provided by hyperspectral videos (HSVs), offering substantial potential for object tracking. However, ef…
PPG-Based Affect Recognition with Long-Range Deep Models: A Measurement-Driven Comparison of CNN, Transformer, and Mamba Architectures
Karim Alghoul, Hussein Al Osman, Abdulmotaleb El Saddik
Photoplethysmography (PPG) is increasingly used in wearable affective computing due to its low cost and ease of integration into consumer devices. Recent advances in deep learning…
LOD-Net: Locality-Aware 3D Object Detection Using Multi-Scale Transformer Network
Mustaqeem Khan, Aidana Nurakhmetova, Wail Gueaieb +1
3D object detection in point cloud data remains a challenging task due to the sparsity and lack of global structure inherent in the input. In this work, we propose a novel Multi-Sc…
Rethinking Feature Conditioning for Robust Forged Media Detection in Edge AI Sensing Systems
Izaldein Al-Zyoud, Abdulmotaleb El Saddik
Generalization under manipulation and dataset shift remains a core challenge in forged media detection for AI-driven edge sensing systems. Frozen vision foundation models with line…
Real-Time Oriented Object Detection Transformer in Remote Sensing Images
Zeyu Ding, Yong Zhou, Jiaqi Zhao +4
Recent real-time detection transformers have gained popularity due to their simplicity and efficiency. However, these detectors do not explicitly model object rotation, especially…
3D Wi-Fi Signal Measurement in Realistic Digital Twin Testbed Environments Using Ray Tracing
Mengyuan Wang, Haopeng Wang, Haiwei Dong +1
Accurate and efficient modeling of indoor wireless signal propagation is crucial for the deployment of next-generation Wi-Fi. This paper presents a digital twin-based measurement s…
Enhancing Generalization in PPG-Based Emotion Measurement with a CNN-TCN-LSTM Model
Karim Alghoul, Hussein Al Osman, Abdulmotaleb El Saddik
Human computer interaction has become integral to modern life, driven by advancements in machine learning technologies. Affective computing, in particular, has focused on systems t…
Empirical Studies of Large Scale Environment Scanning by Consumer Electronics
Mengyuan Wang, Yang Liu, Haopeng Wang +2
This paper presents an empirical evaluation of the Matterport Pro3, a consumer-grade 3D scanning device, for large-scale environment reconstruction. We conduct detailed scanning (1…
GroMo: Plant Growth Modeling with Multiview Images
Ruchi Bhatt, Shreya Bansal, Amanpreet Chander +5
Understanding plant growth dynamics is essential for applications in agriculture and plant phenotyping. We present the Growth Modelling (GroMo) challenge, which is designed for two…
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
Toluwani Aremu, Oluwakemi Akinwehinmi, Chukwuemeka Nwagu +4
We investigate and observe the behaviour and performance of Large Language Model (LLM)-backed chatbots in addressing misinformed prompts and questions with demographic information…
MADRL-Based Rate Adaptation for 360° Video Streaming with Multi-Viewpoint Prediction
Haopeng Wang, Zijian Long, Haiwei Dong +1
Over the last few years, 360° video traffic on the network has grown significantly. A key challenge of 360° video playback is ensuring a high quality of experience (QoE) with limit…
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…
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…
Experimental Studies of Metaverse Streaming
Haopeng Wang, Roberto Martinez-Velazquez, Haiwei Dong +1
Metaverse aims to construct a large, unified, immersive, and shared digital realm by combining various technologies, namely XR (extended reality), blockchain, and digital twin, amo…
Bringing Robots Home: The Rise of AI Robots in Consumer Electronics
Haiwei Dong, Yang Liu, Ted Chu +1
On March 18, 2024, NVIDIA unveiled Project GR00T, a general-purpose multimodal generative AI model designed specifically for training humanoid robots. Preceding this event, Tesla's…
Human-Centric Resource Allocation for the Metaverse With Multiaccess Edge Computing
Zijian Long, Haiwei Dong, Abdulmotaleb El Saddik
Multi-access edge computing (MEC) is a promising solution to the computation-intensive, low-latency rendering tasks of the metaverse. However, how to optimally allocate limited com…
A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN
Rahatara Ferdousi, Fedwa Laamarti, Chunsheng Yang +1
Accurate Defect detection is crucial for ensuring the trustworthiness of intelligent railway systems. Current approaches rely on single deep-learning models, like CNNs, which emplo…
Weakly Supervised 3D Open-vocabulary Segmentation
Kunhao Liu, Fangneng Zhan, Jiahui Zhang +6
Open-vocabulary segmentation of 3D scenes is a fundamental function of human perception and thus a crucial objective in computer vision research. However, this task is heavily impe…
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Aoran Xiao, Jiaxing Huang, Weihao Xuan +6
Robust point cloud parsing under all-weather conditions is crucial to level-5 autonomy in autonomous driving. However, how to learn a universal 3D semantic segmentation (3DSS) mode…
3-D Markerless Tracking of Human Gait by Geometric Trilateration of Multiple Kinects
Lin Yang, Bowen Yang, Haiwei Dong +1
In this paper, we develop an integrated markerless gait tracking system with three Kinect v2 sensors. A geometric principle-based trilateration method is proposed for optimizing th…
Learning to Estimate 3D Human Pose from Point Cloud
Yufan Zhou, Haiwei Dong, Abdulmotaleb El Saddik
3D pose estimation is a challenging problem in computer vision. Most of the existing neural-network-based approaches address color or depth images through convolution networks (CNN…
Sitting Posture Recognition Using a Spiking Neural Network
Jianquan Wang, Basim Hafidh, Haiwei Dong +1
To increase the quality of citizens' lives, we designed a personalized smart chair system to recognize sitting behaviors. The system can receive surface pressure data from the desi…