activity
20232026
most citedMMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats

46 citations · 95 across the 13 of their papers we have counts for

collaborators

16 papers

cs.CV2026

Parasitic Co-Denoising: Unlocking 3D Human Motion Generation in a Frozen Video Diffusion Model

Yunjiao Zhou, Junlang Qian, Lihua Xie +1

Despite never being supervised on explicit 3D motion, large-scale text-to-video diffusion models synthesize realistic human motion in their generated videos. We ask whether this im…

cs.CV2026

Rethinking Fixed Temporal Grids: Frequency-Disentangled Motion Generation

Yunjiao Zhou, Junlang Qian, Gen Li +3

Most human motion generation methods encode motion as tokens on a uniform temporal grid, where every token spans the same fixed time window. Human motion, however, is temporally he…

cs.CV2025

M4Human: A Large-Scale Multimodal mmWave Radar Benchmark for Human Mesh Reconstruction

Junqiao Fan, Yunjiao Zhou, Yizhuo Yang +6

Human mesh reconstruction (HMR) provides direct insights into body-environment interaction, which enables various immersive applications. While existing large-scale HMR datasets re…

cs.CV2025

mmPred: Radar-based Human Motion Prediction in the Dark

Junqiao Fan, Haocong Rao, Jiarui Zhang +2

Existing Human Motion Prediction (HMP) methods based on RGB-D cameras are sensitive to lighting conditions and raise privacy concerns, limiting their real-world applications such a…

cs.CV2025

Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training

Yunjiao Zhou, Xinyan Chen, Junlang Qian +2

Understanding complex human activities demands the ability to decompose motion into fine-grained, semantic-aligned sub-actions. This motion grounding process is crucial for behavio…

cs.RO2024★ 15 cited

AV-PedAware: Self-Supervised Audio-Visual Fusion for Dynamic Pedestrian Awareness

Yizhuo Yang, Shenghai Yuan, Muqing Cao +2

In this study, we introduce AV-PedAware, a self-supervised audio-visual fusion system designed to improve dynamic pedestrian awareness for robotics applications. Pedestrian awarene…

cs.CR2024

A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain

Junfei Wang, He Huang, Jingze Feng +3

There is a significant demand for indoor localization technology in smart buildings, and the most promising solution in this field is using RF sensors and fingerprinting-based meth…

cs.CV2024★ 16 cited

Salient Sparse Visual Odometry With Pose-Only Supervision

Siyu Chen, Kangcheng Liu, Chen Wang +3

Visual Odometry (VO) is vital for the navigation of autonomous systems, providing accurate position and orientation estimates at reasonable costs. While traditional VO methods exce…

eess.SP2024★ 11 cited

PowerSkel: A Device-Free Framework Using CSI Signal for Human Skeleton Estimation in Power Station

Cunyi Yin, Xiren Miao, Jing Chen +5

Safety monitoring of power operations in power stations is crucial for preventing accidents and ensuring stable power supply. However, conventional methods such as wearable devices…

cs.CV2024

Diffusion Model is a Good Pose Estimator from 3D RF-Vision

Junqiao Fan, Jianfei Yang, Yuecong Xu +1

Human pose estimation (HPE) from Radio Frequency vision (RF-vision) performs human sensing using RF signals that penetrate obstacles without revealing privacy (e.g., facial informa…

cs.CV2024

Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation

Haozhi Cao, Yuecong Xu, Pengyu Yin +4

Multi-modal test-time adaptation (MM-TTA) adapts models to an unlabeled target domain by leveraging the complementary multi-modal inputs in an online manner. While previous MM-TTA…

cs.CV2024

T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition

Zhiyuan Yang, Yunjiao Zhou, Lihua Xie +1

3D point cloud has been widely used in many mobile application scenarios, including autonomous driving and 3D sensing on mobile devices. However, existing 3D point cloud models ten…

cs.CV2024

MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition

Jianfei Yang, Shijie Tang, Yuecong Xu +2

Human activity recognition (HAR) has been playing an increasingly important role in various domains such as healthcare, security monitoring, and metaverse gaming. Though numerous H…

cs.RO2024★ 46 cited

MMAUD: A Comprehensive Multi-Modal Anti-UAV Dataset for Modern Miniature Drone Threats

Shenghai Yuan, Yizhuo Yang, Thien Hoang Nguyen +6

In response to the evolving challenges posed by small unmanned aerial vehicles (UAVs), which possess the potential to transport harmful payloads or independently cause damage, we i…

cs.CV2023★ 6 cited

TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition

Yunjiao Zhou, Jianfei Yang, Han Zou +1

Recent achievements in language models have showcased their extraordinary capabilities in bridging visual information with semantic language understanding. This leads us to a novel…

cs.CV2023★ 1 cited

AdaPose: Towards Cross-Site Device-Free Human Pose Estimation with Commodity WiFi

Yunjiao Zhou, Jianfei Yang, He Huang +1

WiFi-based pose estimation is a technology with great potential for the development of smart homes and metaverse avatar generation. However, current WiFi-based pose estimation meth…