5 citations · 5 across the 5 of their papers we have counts for
6 papers
MOGS: Monocular Object-guided Gaussian Splatting in Large Scenes
Shengkai Zhang, Yuhe Liu, Jianhua He +3
Recent advances in 3D Gaussian Splatting (3DGS) deliver striking photorealism, and extending it to large scenes opens new opportunities for semantic reasoning and prediction in app…
VISC: mmWave Radar Scene Flow Estimation using Pervasive Visual-Inertial Supervision
Kezhong Liu, Yiwen Zhou, Mozi Chen +5
This work proposes a mmWave radar's scene flow estimation framework supervised by data from a widespread visual-inertial (VI) sensor suite, allowing crowdsourced training data from…
PDStream: Slashing Long-Tail Delay in Interactive Video Streaming via Pseudo-Dual Streaming
Xuedou Xiao, Yingying Zuo, Mingxuan Yan +2
End-to-end (E2E) delay is critical for interactive video streaming (IVS) experiences, but remains unsatisfactory for its long-tail distribution caused by periodic large keyframes.…
IoT Performance for Maritime Passenger Evacuation
Yuting Ma, Erol Gelenbe, Kezhong Liu
The safe and swift evacuation of passengers from Maritime Vessels, requires an effective Internet of Things(IoT) as well as an information and communication technology(ICT) infrast…
Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles
Zuoyin Tang, Jianhua He, Dashuai Pei +2
Handling long tail corner cases is a major challenge faced by autonomous vehicles (AVs). While large language models (LLMs) hold great potentials to handle the corner cases with ex…
Enhancing mmWave Radar Point Cloud via Visual-inertial Supervision
Cong Fan, Shengkai Zhang, Kezhong Liu +3
Complementary to prevalent LiDAR and camera systems, millimeter-wave (mmWave) radar is robust to adverse weather conditions like fog, rainstorms, and blizzards but offers sparse po…