19 citations · 35 across the 5 of their papers we have counts for
5 papers
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
NVIDIA, :, Aarti Basant +214
We introduce Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer language model designed to increase throughput for reasoning workloads while achieving state-of-the-art accuracy compar…
DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering
Yinsheng Li, Zhen Dong, Yi Shao
Large Language Model (LLM) agents have shown great potential for solving real-world problems and promise to be a solution for tasks automation in industry. However, more benchmarks…
KTNet: Knowledge Transfer for Unpaired 3D Shape Completion
Zhen Cao, Wenxiao Zhang, Xin Wen +4
Unpaired 3D object completion aims to predict a complete 3D shape from an incomplete input without knowing the correspondence between the complete and incomplete shapes. In this pa…
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang, Yuan Liu, Zhen Dong +1
In this paper, we propose a novel local descriptor-based framework, called You Only Hypothesize Once (YOHO), for the registration of two unaligned point clouds. In contrast to most…
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
Runsong Zhu, Yuan Liu, Zhen Dong +4
This paper presents a neural network for robust normal estimation on point clouds, named AdaFit, that can deal with point clouds with noise and density variations. Existing works u…