87 citations · 130 across the 8 of their papers we have counts for
8 papers
StreamPPG: Low-Latency rPPG Estimation via Consistent Privileged Learning
Yiming Li, Yihan Yang, Yuguang Chu +7
Remote photoplethysmography (rPPG) estimates the blood volume pulse (BVP) signal from facial videos, enabling contact-free health monitoring. Conventional clip-wise approaches, whi…
SD4R: Sparse-to-Dense Learning for 3D Object Detection with 4D Radar
Xiaokai Bai, Jiahao Cheng, Songkai Wang +5
4D radar measurements offer an affordable and weather-robust solution for 3D perception. However, the inherent sparsity and noise of radar point clouds present significant challeng…
Boosting Instance Awareness via Cross-View Correlation with 4D Radar and Camera for 3D Object Detection
Xiaokai Bai, Lianqing Zheng, Si-Yuan Cao +6
4D millimeter-wave radar has emerged as a promising sensing modality for autonomous driving due to its robustness and affordability. However, its sparse and weak geometric cues mak…
Recurrent Cross-View Object Geo-Localization
Xiaohan Zhang, Si-Yuan Cao, Xiaokai Bai +7
Cross-view object geo-localization (CVOGL) aims to determine the location of a specific object in high-resolution satellite imagery given a query image with a point prompt. Existin…
RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
Xiaokai Bai, Chenxu Zhou, Lianqing Zheng +6
4D millimeter-wave radar is a promising sensing modality for autonomous driving, yet effective 3D object detection from 4D radar and monocular images remains challenging. Existing…
CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
Boyuan Meng, Xiaohan Zhang, Peilin Li +5
Cross-domain few-shot object detection (CD-FSOD) aims to detect novel objects across different domains with limited class instances. Feature confusion, including object-background…
Rethinking Early-Fusion Strategies for Improved Multispectral Object Detection
Xue Zhang, Si-Yuan Cao, Fang Wang +5
Most recent multispectral object detectors employ a two-branch structure to extract features from RGB and thermal images. While the two-branch structure achieves better performance…
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
Xue Zhang, Xiaohan Zhang, Jiangtao Wang +5
Pedestrian detection plays a critical role in computer vision as it contributes to ensuring traffic safety. Existing methods that rely solely on RGB images suffer from performance…