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Eric Bennett

4 papers

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papers

Publications (4)

cs.CV2024

HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling

Fenggen Yu, Yiming Qian, Francisca Gil-Ureta +3

We present the first active learning tool for fine-grained 3D part labeling, a problem which challenges even the most advanced deep learning (DL) methods due to the significant str…

cs.CV2024

DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly

Fenggen Yu, Yiming Qian, Xu Zhang +4

We present a differentiable rendering framework to learn structured 3D abstractions in the form of primitive assemblies from sparse RGB images capturing a 3D object. By leveraging…

cs.CV2023

RoSI: Recovering 3D Shape Interiors from Few Articulation Images

Akshay Gadi Patil, Yiming Qian, Shan Yang +3

The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface mesh…

cs.CL2026

Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?

Osvaldo Quinjica, Eric Bennett, Xinchen Yang +2

Although large language models can translate some historical languages surprisingly well, their usefulness in digital humanities workflows is limited by the lack of reliable evalua…

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