Sha Zhang

Orcid: 0000-0002-1814-6783

Affiliations:
  • University of Science and Technology of China (USTC), Hefei, China


According to our database1, Sha Zhang authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
PonderV2: Improved 3D Representation With a Universal Pre-Training Paradigm.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

VLMPlanner: Integrating Visual Language Models with Motion Planning.
CoRR, July, 2025

Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI.
CoRR, June, 2025

LabUtopia: High-Fidelity Simulation and Hierarchical Benchmark for Scientific Embodied Agents.
CoRR, May, 2025

Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving.
CoRR, April, 2025

Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures.
IEEE Robotics Autom. Lett., March, 2025

2024
HVDistill: Transferring Knowledge from Images to Point Clouds via Unsupervised Hybrid-View Distillation.
Int. J. Comput. Vis., July, 2024

LFP: Efficient and Accurate End-to-End Lane-Level Planning via Camera-LiDAR Fusion.
CoRR, 2024

PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest.
CoRR, 2024

Agent3D-Zero: An Agent for Zero-Shot 3D Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
TrajMatch: Toward Automatic Spatio-Temporal Calibration for Roadside LiDARs Through Trajectory Matching.
IEEE Trans. Intell. Transp. Syst., November, 2023

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm.
CoRR, 2023

TrajMatch: Towards Automatic Spatio-temporal Calibration for Roadside LiDARs through Trajectory Matching.
CoRR, 2023


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