1 citations · 1 across the 10 of their papers we have counts for
12 papers
Spheriverse: 3D Scene Understanding from Spherical Observations in the Wild
Fei Teng, Sheng Wu, Mengfei Duan +7
Spherical observations provide global visual context for 3D scene understanding. However, visual information is encoded in an angular domain, whereas the physical world is represen…
PS-MOT: Cultivating Instance Awareness from Point Seeds for Multi-Object Tracking
Kai Luo, Fei Teng, Mengfei Duan +6
We introduce Point-supervised Multi-Object Tracking (PS-MOT) as a cost-effective alternative to traditional bounding box supervision, shifting the focus from spatial fitting to top…
O3N: Omnidirectional Open-Vocabulary Occupancy Prediction for Embodied Intelligent Robotics
Mengfei Duan, Hao Shi, Fei Teng +4
The rapid evolution of consumer electronics toward embodied intelligence has accelerated the emergence of Consumer Embodied Intelligent Robotics (CEIRs), where intelligent devices…
OccTrack360: 4D Panoptic Occupancy Tracking from Surround-View Fisheye Cameras
Yongzhi Lin, Kai Luo, Yuanfan Zheng +4
Understanding dynamic 3D environments in a spatially continuous and temporally consistent manner is fundamental for robotics and autonomous driving. While recent advances in occupa…
Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
Song Wang, Lingdong Kong, Xiaolu Liu +4
The rapid advancement of autonomous systems, including self-driving vehicles and drones, has intensified the need to forge true Spatial Intelligence from multi-modal onboard sensor…
OneOcc: Semantic Occupancy Prediction for Legged Robots with a Single Panoramic Camera
Hao Shi, Ze Wang, Shangwei Guo +6
Robust 3D semantic occupancy is crucial for legged/humanoid robots, yet most semantic scene completion (SSC) systems target wheeled platforms with forward-facing sensors. We presen…
mmWalk: Towards Multi-modal Multi-view Walking Assistance
Kedi Ying, Ruiping Liu, Chongyan Chen +5
Walking assistance in extreme or complex environments remains a significant challenge for people with blindness or low vision (BLV), largely due to the lack of a holistic scene und…
Event-aided Semantic Scene Completion
Shangwei Guo, Hao Shi, Song Wang +3
Autonomous driving systems rely on robust 3D scene understanding. Recent advances in Semantic Scene Completion (SSC) for autonomous driving underscore the limitations of RGB-based…
GenMapping: Unleashing the Potential of Inverse Perspective Mapping for Robust Online HD Map Construction
Siyu Li, Kailun Yang, Hao Shi +3
Online High-Definition (HD) maps have emerged as the preferred option for autonomous driving, overshadowing the counterpart offline HD maps due to flexible update capability and lo…
Occlusion-Aware Seamless Segmentation
Yihong Cao, Jiaming Zhang, Hao Shi +5
Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can deepen the understanding of the scene, and domain adaptation can transfer across viewing domain…
Label-efficient Semantic Scene Completion with Scribble Annotations
Song Wang, Jiawei Yu, Wentong Li +4
Semantic scene completion aims to infer the 3D geometric structures with semantic classes from camera or LiDAR, which provide essential occupancy information in autonomous driving.…
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction
Siyu Li, Jiacheng Lin, Hao Shi +5
Temporal information plays a pivotal role in Bird's-Eye-View (BEV) driving scene understanding, which can alleviate the visual information sparsity. However, the indiscriminate tem…