activity
20222025
most citedRadar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

246 citations · 248 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach

Guixu Lin, Muyao Niu, Qingtian Zhu +4

Event cameras, known for their low latency and high dynamic range, show great potential in pedestrian detection applications. However, while recent research has primarily focused o…

cs.CV2024

Physics-Based Adversarial Attack on Near-Infrared Human Detector for Nighttime Surveillance Camera Systems

Muyao Niu, Zhuoxiao Li, Yifan Zhan +3

Many surveillance cameras switch between daytime and nighttime modes based on illuminance levels. During the day, the camera records ordinary RGB images through an enabled IR-cut f…

cs.CV2024

Motion-Aware Animatable Gaussian Avatars Deblurring

Muyao Niu, Yifan Zhan, Qingtian Zhu +5

The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as…

cs.CV2024

KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter

Yifan Zhan, Zhuoxiao Li, Muyao Niu +4

We introduce KFD-NeRF, a novel dynamic neural radiance field integrated with an efficient and high-quality motion reconstruction framework based on Kalman filtering. Our key idea i…

cs.CV2024

RS-NeRF: Neural Radiance Fields from Rolling Shutter Images

Muyao Niu, Tong Chen, Yifan Zhan +3

Neural Radiance Fields (NeRFs) have become increasingly popular because of their impressive ability for novel view synthesis. However, their effectiveness is hindered by the Rollin…

cs.CV2023★ 246 cited

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Shanliang Yao, Runwei Guan, Xiaoyu Huang +8

Driven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surround…

cs.CV2023

Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark

Muyao Niu, Zhuoxiao Li, Zhihang Zhong +1

Seeing-in-the-dark is one of the most important and challenging computer vision tasks due to its wide applications and extreme complexities of in-the-wild scenarios. Existing arts…

cs.CV2023

Fooling Polarization-based Vision using Locally Controllable Polarizing Projection

Zhuoxiao Li, Zhihang Zhong, Shohei Nobuhara +2

Polarization is a fundamental property of light that encodes abundant information regarding surface shape, material, illumination and viewing geometry. The computer vision communit…

eess.IV2022★ 2 cited

Polarized Color Image Denoising using Pocoformer

Zhuoxiao Li, Haiyang Jiang, Yinqiang Zheng

Polarized color photography provides both visual textures and object surficial information in one single snapshot. However, the use of the directional polarizing filter array cause…