activity
20202025
most citedSymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

10 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

NVSPolicy: Adaptive Novel-View Synthesis for Generalizable Language-Conditioned Policy Learning

Le Shi, Yifei Shi, Xin Xu +3

Recent advances in deep generative models demonstrate unprecedented zero-shot generalization capabilities, offering great potential for robot manipulation in unstructured environme…

cs.CV2023

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs

Yi Sun, Xin Xu, Jian Li +3

Multi-output deep neural networks(MONs) contain multiple task branches, and these tasks usually share partial network filters that lead to the entanglement of different task infere…

cs.RO2021★ 6 cited

Learning Practically Feasible Policies for Online 3D Bin Packing

Hang Zhao, Chenyang Zhu, Xin Xu +2

We tackle the Online 3D Bin Packing Problem, a challenging yet practically useful variant of the classical Bin Packing Problem. In this problem, the items are delivered to the agen…

cs.CV2021★ 2 cited

StablePose: Learning 6D Object Poses from Geometrically Stable Patches

Yifei Shi, Junwen Huang, Xin Xu +2

We introduce the concept of geometric stability to the problem of 6D object pose estimation and propose to learn pose inference based on geometrically stable patches extracted from…

cs.CV2020★ 10 cited

SymmetryNet: Learning to Predict Reflectional and Rotational Symmetries of 3D Shapes from Single-View RGB-D Images

Yifei Shi, Junwen Huang, Hongjia Zhang +3

We study the problem of symmetry detection of 3D shapes from single-view RGB-D images, where severely missing data renders geometric detection approach infeasible. We propose an en…