most citedPOV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-View World

8 citations · 8 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2025

EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining

Boshen Xu, Yuting Mei, Xinbi Liu +2

Egocentric video-language pretraining has significantly advanced video representation learning. Humans perceive and interact with a fully 3D world, developing spatial awareness tha…

cs.RO2024

QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds

Yuting Mei, Ye Wang, Sipeng Zheng +1

As robotic agents increasingly assist humans in reality, quadruped robots offer unique opportunities for interaction in complex scenarios due to their agile movement. However, buil…

cs.CV2024

Do Egocentric Video-Language Models Truly Understand Hand-Object Interactions?

Boshen Xu, Ziheng Wang, Yang Du +3

Egocentric video-language pretraining is a crucial step in advancing the understanding of hand-object interactions in first-person scenarios. Despite successes on existing testbeds…

cs.CV20248 cited

POV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-View World

Boshen Xu, Sipeng Zheng, Qin Jin

We humans are good at translating third-person observations of hand-object interactions (HOI) into an egocentric view. However, current methods struggle to replicate this ability o…

cs.CV2024

SPAFormer: Sequential 3D Part Assembly with Transformers

Boshen Xu, Sipeng Zheng, Qin Jin

We introduce SPAFormer, an innovative model designed to overcome the combinatorial explosion challenge in the 3D Part Assembly (3D-PA) task. This task requires accurate prediction…