13 citations · 33 across the 8 of their papers we have counts for
8 papers
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…
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
Ming Yan, Xin Wang, Yudi Dai +5
Motion capture is a long-standing research problem. Although it has been studied for decades, the majority of research focus on ground-based movements such as walking, sitting, dan…
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network
Weiquan Liu, Minghao Liu, Shijun Zheng +1
Although 3D point cloud classification neural network models have been widely used, the in-depth interpretation of the activation of the neurons and layers is still a challenge. We…
Adaptive Local Adversarial Attacks on 3D Point Clouds for Augmented Reality
Weiquan Liu, Shijun Zheng, Cheng Wang
As the key technology of augmented reality (AR), 3D recognition and tracking are always vulnerable to adversarial examples, which will cause serious security risks to AR systems. A…
Virtual Sparse Convolution for Multimodal 3D Object Detection
Hai Wu, Chenglu Wen, Shaoshuai Shi +2
Recently, virtual/pseudo-point-based 3D object detection that seamlessly fuses RGB images and LiDAR data by depth completion has gained great attention. However, virtual points gen…
Transformation-Equivariant 3D Object Detection for Autonomous Driving
Hai Wu, Chenglu Wen, Wei Li +3
3D object detection received increasing attention in autonomous driving recently. Objects in 3D scenes are distributed with diverse orientations. Ordinary detectors do not explicit…
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Jialian Li, Jingyi Zhang, Zhiyong Wang +6
Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications. We propose LiDARHuman26M, a new human motion capture dataset captur…
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR
Yudi Dai, Yitai Lin, Chenglu Wen +5
We propose Human-centered 4D Scene Capture (HSC4D) to accurately and efficiently create a dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions…