8 citations · 15 across the 8 of their papers we have counts for
8 papers
World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation
Yuhao Pan, Haosong Peng, Zhengshen Zhang +8
Vision-language-action (VLA) models often treat main-view and wrist-view observations as parallel visual inputs, overlooking their distinct roles in robot manipulation. Fine-graine…
SpatialBench: Is Your Spatial Foundation Model an All-Round Player?
Haosong Peng, Hao Li, Jiaqi Chen +10
While spatial foundation models have demonstrated impressive performance on standard datasets, a critical question remains: are they truly all-round players capable of generalizing…
OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer
Haosong Peng, Hao Li, Yalun Dai +8
General 3D foundation models have started to lead the trend of unifying diverse vision tasks, yet most assume RGB-only inputs and ignore readily available geometric cues (e.g., cam…
Radiant: Large-scale 3D Gaussian Rendering based on Hierarchical Framework
Haosong Peng, Tianyu Qi, Yufeng Zhan +3
With the advancement of computer vision, the recently emerged 3D Gaussian Splatting (3DGS) has increasingly become a popular scene reconstruction algorithm due to its outstanding p…
DGTR: Distributed Gaussian Turbo-Reconstruction for Sparse-View Vast Scenes
Hao Li, Yuanyuan Gao, Haosong Peng +7
Novel-view synthesis (NVS) approaches play a critical role in vast scene reconstruction. However, these methods rely heavily on dense image inputs and prolonged training times, mak…
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng, Yufeng Zhan, DiHua Zhai +2
As an emerging computing paradigm, edge computing offers computing resources closer to the data sources, helping to improve the service quality of many real-time applications. A cr…
Tangram: High-resolution Video Analytics on Serverless Platform with SLO-aware Batching
Haosong Peng, Yufeng Zhan, Peng Li +1
Cloud-edge collaborative computing paradigm is a promising solution to high-resolution video analytics systems. The key lies in reducing redundant data and managing fluctuating inf…
Arena: A Patch-of-Interest ViT Inference Acceleration System for Edge-Assisted Video Analytics
Haosong Peng, Wei Feng, Hao Li +3
The advent of edge computing has made real-time intelligent video analytics feasible. Previous works, based on traditional model architecture (e.g., CNN, RNN, etc.), employ various…