activity
20222024
most citedNeurAR: Neural Uncertainty for Autonomous 3D Reconstruction with Implicit Neural Representations

80 citations · 118 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

In-Hand 3D Object Reconstruction from a Monocular RGB Video

Shijian Jiang, Qi Ye, Rengan Xie +4

Our work aims to reconstruct a 3D object that is held and rotated by a hand in front of a static RGB camera. Previous methods that use implicit neural representations to recover th…

cs.CV2023★ 4 cited

Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields

Xiangyu Wang, Jingsen Zhu, Qi Ye +4

With the popularity of implicit neural representations, or neural radiance fields (NeRF), there is a pressing need for editing methods to interact with the implicit 3D models for t…

cs.CV2023

InterTracker: Discovering and Tracking General Objects Interacting with Hands in the Wild

Yanyan Shao, Qi Ye, Wenhan Luo +2

Understanding human interaction with objects is an important research topic for embodied Artificial Intelligence and identifying the objects that humans are interacting with is a p…

cs.RO2023

DexRepNet: Learning Dexterous Robotic Grasping Network with Geometric and Spatial Hand-Object Representations

Qingtao Liu, Yu Cui, Qi Ye +5

Robotic dexterous grasping is a challenging problem due to the high degree of freedom (DoF) and complex contacts of multi-fingered robotic hands. Existing deep reinforcement learni…

cs.RO2023

Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones

Yuyang Shen, Jinming Xu, Jin Zhou +4

Autonomous drone racing is becoming an excellent platform to challenge quadrotors' autonomy techniques including planning, navigation and control technologies. However, most resear…