activity
20242026
collaborators

8 papers

cs.CR2026

GAZEleak: Passcode Inference Against Eye-tracking XR Devices Through External Observation

Hwanjo Heo, Junhee Lee, Jinwoo Kim

Mixed-reality headsets such as Apple Vision Pro replace the touch screen with gaze-as-pointer interaction: the wearer looks at a target and confirms with an air pinch. Because the…

cs.CV2026

UniSim-SLAM: Feed-Forward SLAM with Unified Sim(3) Optimization

Inha Lee, Dongjae Jeong, Junhee Lee +1

Recent geometric foundation models enable feed-forward inference for SLAM, but their predictions are strongly dependent on the input view set, which leads to geometric inconsistenc…

cs.RO2026

FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity

Ganghyeon Lee, Inha Lee, Junhee Lee +3

Although recent robot perception research emphasizes training on data from diverse environments to improve generalization, most existing methods still rely on centralized learning,…

cs.CV2026

HarassGuard: Detecting Harassment Behaviors in Social Virtual Reality with Vision-Language Models

Junhee Lee, Minseok Kim, Hwanjo Heo +2

Social Virtual Reality (VR) platforms provide immersive social experiences but also expose users to serious risks of online harassment. Existing safety measures are largely reactiv…

cs.CV2025

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection

Junhee Lee, ChaeBeen Bang, MyoungChul Kim +1

Weakly-Supervised Video Anomaly Detection aims to identify anomalous events using only video-level labels, balancing annotation efficiency with practical applicability. However, ex…

cs.CR2025

Illusion Worlds: Deceptive UI Attacks in Social VR

Junhee Lee, Hwanjo Heo, Seungwon Woo +3

Social Virtual Reality (VR) platforms have surged in popularity, yet their security risks remain underexplored. This paper presents four novel UI attacks that covertly manipulate u…

cs.CV2025

EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models

Minjae Seo, Myoungsung You, Junhee Lee +4

Vision models are increasingly deployed in critical applications such as autonomous driving and CCTV monitoring, yet they remain susceptible to resource-consuming attacks. In this…

cs.CV2024

VPOcc: Exploiting Vanishing Point for 3D Semantic Occupancy Prediction

Junsu Kim, Junhee Lee, Ukcheol Shin +2

Understanding 3D scenes semantically and spatially is crucial for the safe navigation of robots and autonomous vehicles, aiding obstacle avoidance and accurate trajectory planning.…