activity
20222026
most citedFreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Talk to Me, Not the Slides: A Real-Time Wearable Assistant for Improving Eye Contact in Presentations

Lingyu Du, Xucong Zhang, Guohao Lan

Effective eye contact is a cornerstone of successful public speaking. It strengthens the speaker's credibility and fosters audience engagement. Yet, managing effective eye contact…

cs.CV2025

SecureGaze: Defending Gaze Estimation Against Backdoor Attacks

Lingyu Du, Yupei Liu, Jinyuan Jia +1

Gaze estimation models are widely used in applications such as driver attention monitoring and human-computer interaction. While many methods for gaze estimation exist, they rely h…

cs.LG2024

Defending Deep Regression Models against Backdoor Attacks

Lingyu Du, Yupei Liu, Jinyuan Jia +1

Deep regression models are used in a wide variety of safety-critical applications, but are vulnerable to backdoor attacks. Although many defenses have been proposed for classificat…

cs.CV2024

PrivateGaze: Preserving User Privacy in Black-box Mobile Gaze Tracking Services

Lingyu Du, Jinyuan Jia, Xucong Zhang +1

Eye gaze contains rich information about human attention and cognitive processes. This capability makes the underlying technology, known as gaze tracking, a critical enabler for ma…

cs.CV2023

Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition

Lingyu Du, Xucong Zhang, Guohao Lan

Appearance-based gaze estimation has shown great promise in many applications by using a single general-purpose camera as the input device. However, its success is highly depending…

cs.CV2022★ 1 cited

FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning

Lingyu Du, Guohao Lan

Gaze estimation is of great importance to many scientific fields and daily applications, ranging from fundamental research in cognitive psychology to attention-aware mobile systems…