7 citations · 18 across the 11 of their papers we have counts for
9 papers · 1 filter
OmniEvent: Unified Event Representation Learning
Weiqi Yan, Chenlu Lin, Youbiao Wang +5
Event cameras have gained increasing popularity in computer vision due to their ultra-high dynamic range and temporal resolution. However, event networks heavily rely on task-speci…
A New Adversarial Perspective for LiDAR-based 3D Object Detection
Shijun Zheng, Weiquan Liu, Yu Guo +3
Autonomous vehicles (AVs) rely on LiDAR sensors for environmental perception and decision-making in driving scenarios. However, ensuring the safety and reliability of AVs in comple…
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
Zhimin Yuan, Wankang Zeng, Yanfei Su +4
3D synthetic-to-real unsupervised domain adaptive segmentation is crucial to annotating new domains. Self-training is a competitive approach for this task, but its performance is l…
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
Xiuhong Lin, Changjie Qiu, Zhipeng Cai +6
Event cameras have emerged as a promising vision sensor in recent years due to their unparalleled temporal resolution and dynamic range. While registration of 2D RGB images to 3D p…
DSMNet: Deep High-precision 3D Surface Modeling from Sparse Point Cloud Frames
Changjie Qiu, Zhiyong Wang, Xiuhong Lin +3
Existing point cloud modeling datasets primarily express the modeling precision by pose or trajectory precision rather than the point cloud modeling effect itself. Under this deman…
Ins-ATP: Deep Estimation of ATP for Organoid Based on High Throughput Microscopic Images
Xuesheng Bian, Cheng Wang, Shuting Chen +7
Adenosine triphosphate (ATP) is a high-energy phosphate compound and the most direct energy source in organisms. ATP is an essential biomarker for evaluating cell viability in biol…