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20182026
most citedDifferentiable Trust Region Layers for Deep Reinforcement Learning

6 citations · 17 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

InStyle: Instant Appearance Stylization of 3D Shapes

Melis Ocal, Xiaoyan Xing, Yue Li +3

3D stylization is central to game development, virtual reality, and digital arts, where the demand for diverse assets calls for scalable methods that support fast, high-fidelity ma…

cs.CV2023★ 1 cited

SyMFM6D: Symmetry-aware Multi-directional Fusion for Multi-View 6D Object Pose Estimation

Fabian Duffhauss, Sebastian Koch, Hanna Ziesche +2

Detecting objects and estimating their 6D poses is essential for automated systems to interact safely with the environment. Most 6D pose estimators, however, rely on a single camer…

cs.CV2022★ 2 cited

FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion

Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche +1

Sensor fusion can significantly improve the performance of many computer vision tasks. However, traditional fusion approaches are either not data-driven and cannot exploit prior kn…

cs.CV2022

What Matters For Meta-Learning Vision Regression Tasks?

Ning Gao, Hanna Ziesche, Ngo Anh Vien +2

Meta-learning is widely used in few-shot classification and function regression due to its ability to quickly adapt to unseen tasks. However, it has not yet been well explored on r…

cs.CV2021★ 3 cited

Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction

Dianhao Zhang, Ngo Anh Vien, Mien Van +1

3D skeleton-based motion prediction and activity recognition are two interwoven tasks in human behaviour analysis. In this work, we propose a motion context modeling methodology th…