activity
20202025
most citedAnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection

32 citations · 44 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.CV2024

FairDD: Fair Dataset Distillation

Qihang Zhou, Shenhao Fang, Shibo He +2

Condensing large datasets into smaller synthetic counterparts has demonstrated its promise for image classification. However, previous research has overlooked a crucial concern in…

cs.CV2024★ 2 cited

Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey

Kun Shi, Shibo He, Zhenyu Shi +4

Multi-modal fusion is imperative to the implementation of reliable object detection and tracking in complex environments. Exploiting the synergy of heterogeneous modal information…

cs.CV2024★ 3 cited

PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection

Qihang Zhou, Jiangtao Yan, Shibo He +2

Zero-shot (ZS) 3D anomaly detection is a crucial yet unexplored field that addresses scenarios where target 3D training samples are unavailable due to practical concerns like priva…

eess.SP2024

GesturePrint: Enabling User Identification for mmWave-based Gesture Recognition Systems

Lilin Xu, Keyi Wang, Chaojie Gu +3

The millimeter-wave (mmWave) radar has been exploited for gesture recognition. However, existing mmWave-based gesture recognition methods cannot identify different users, which is…

cs.LG2024★ 1 cited

MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels

Lilin Xu, Chaojie Gu, Rui Tan +2

Human activity recognition (HAR) will be an essential function of various emerging applications. However, HAR typically encounters challenges related to modality limitations and la…

cs.CV2024★ 1 cited

Intention-aware Denoising Diffusion Model for Trajectory Prediction

Chen Liu, Shibo He, Haoyu Liu +1

Trajectory prediction is an essential component in autonomous driving, particularly for collision avoidance systems. Considering the inherent uncertainty of the task, numerous stud…