2 citations · 3 across the 6 of their papers we have counts for
7 papers
UniMetric: Universal Metric Scale Recovery for Visual Geometry Foundation Models
Lei Yang, Yuner Zhang, Ziyang Liu +5
Recent advances in multimodal foundation models, exemplified by GPT-6 Astra, raise the prospect of general-purpose embodied reasoning and planning. Using Internet videos for embodi…
ARSTAG: An Agentic Real2Sim2Real System for Task-Specific Robot Data Generation
Bowei Li, Yuner Zhang, Changliu Liu
Adapting visuomotor policies to new manipulation tasks often requires substantial manual engineering or teleoperated data collection. Simulation can provide task-specific data at s…
ChronoVision: Temporal Reasoning via Latent State Reconstruction
Yifan Shen, Jian Xu, Boyi Li +6
Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiring multi-step temporal reasoning. This degradation largely stem…
Motion Planning with Model-Based Diffusion via Constraint Optimization and Adaptive Scheduling
Zhilin He, Bowei Li, Jianlin Dou +2
Single-Robot Motion Planning (SRMP) in highly non-convex constrained environments, where robots must satisfy collision-free guarantees, dynamic feasibility, and task-related constr…
Long-SCOPE: Fully Sparse Long-Range Cooperative 3D Perception
Jiahao Wang, Zikun Xu, Yuner Zhang +8
Cooperative 3D perception via Vehicle-to-Everything communication is a promising paradigm for enhancing autonomous driving, offering extended sensing horizons and occlusion resolut…
SparseCoop: Cooperative Perception with Kinematic-Grounded Queries
Jiahao Wang, Zhongwei Jiang, Wenchao Sun +8
Cooperative perception is critical for autonomous driving, overcoming the inherent limitations of a single vehicle, such as occlusions and constrained fields-of-view. However, curr…
Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark
Jiahao Wang, Xiangyu Cao, Jiaru Zhong +7
While cooperative perception can overcome the limitations of single-vehicle systems, the practical implementation of vehicle-to-vehicle and vehicle-to-infrastructure systems is oft…