activity
20232026
most citedNeuromorphic Imaging with Joint Image Deblurring and Event Denoising

22 citations · 57 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2026

See Silhouettes in Motion with Neuromorphic Vision

Pei Zhang, Shijie Lin, Zhou Ge +2

Quasi-bimodal objects, such as text, road signs, and barcodes, play a basic yet vital role in daily visual communication. By boiling these down to clear silhouettes, binarization u…

cs.CV2026

LISA: Language-guided Interference-aware Spatial-Frequency Attention for Driver Gaze Estimation

Jun Ma, Zhenye Yang, Ruichen Zhou +3

Driver gaze estimation serves as a fundamental metric for evaluating driver attentiveness in modern monitoring systems. Beyond being vulnerable to sudden lighting changes and senso…

cs.CV2026

Aquatic Neuromorphic Optical Flow

Pei Zhang, Yunkai Liang, Kaiqiang Wang

Underwater environments impose severe constraints on conventional imaging systems and demand solutions that balance high-quality sensing with strict resource efficiency. While emer…

eess.IV2024★ 10 cited

Neuromorphic Imaging with Super-Resolution

Pei Zhang, Shuo Zhu, Chutian Wang +2

Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous st…

physics.optics2024★ 7 cited

Neuromorphic Shack-Hartmann wave normal sensing

Chutian Wang, Shuo Zhu, Pei Zhang +3

The Shack-Hartmann wavefront sensor is widely employed in adaptive optics systems to measure optical aberrations. However, simultaneously achieving high sensitivity and large dynam…

eess.IV2023★ 22 cited

Neuromorphic Imaging with Joint Image Deblurring and Event Denoising

Pei Zhang, Haosen Liu, Zhou Ge +2

Neuromorphic imaging reacts to per-pixel brightness changes of a dynamic scene with high temporal precision and responds with asynchronous streaming events as a result. It also oft…

cs.CV2023★ 11 cited

Neuromorphic Imaging and Classification with Graph Learning

Pei Zhang, Chutian Wang, Edmund Y. Lam

Bio-inspired neuromorphic cameras asynchronously record pixel brightness changes and generate sparse event streams. They can capture dynamic scenes with little motion blur and more…

eess.SP2023★ 7 cited

Event Encryption: Rethinking Privacy Exposure for Neuromorphic Imaging

Pei Zhang, Shuo Zhu, Edmund Y. Lam

Bio-inspired neuromorphic cameras sense illumination changes on a per-pixel basis and generate spatiotemporal streaming events within microseconds in response, offering visual info…