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20212025
most citedThe Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59

Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…

cs.CV2024

SAGA: Surface-Aligned Gaussian Avatar

Ronghan Chen, Yang Cong, Jiayue Liu

This paper presents a Surface-Aligned Gaussian representation for creating animatable human avatars from monocular videos,aiming at improving the novel view and pose synthesis perf…

cs.CV2024

Learning Generalizable 3D Manipulation With 10 Demonstrations

Yu Ren, Yang Cong, Ronghan Chen +1

Learning robust and generalizable manipulation skills from demonstrations remains a key challenge in robotics, with broad applications in industrial automation and service robotics…

cs.CV2024

Marrying NeRF with Feature Matching for One-step Pose Estimation

Ronghan Chen, Yang Cong, Yu Ren

Given the image collection of an object, we aim at building a real-time image-based pose estimation method, which requires neither its CAD model nor hours of object-specific traini…

cs.CV2022★ 2 cited

The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution

Ronghan Chen, Yang Cong

Rotation-invariant (RI) 3D deep learning methods suffer performance degradation as they typically design RI representations as input that lose critical global information comparing…

cs.CV2021

Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence

Ronghan Chen, Yang Cong, Jiahua Dong

Shape correspondence from 3D deformation learning has attracted appealing academy interests recently. Nevertheless, current deep learning based methods require the supervision of d…