activity
20192025
most citedEfficient Urban-scale Point Clouds Segmentation with BEV Projection

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

collaborators

5 papers

cs.RO2025

World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild

Yupeng Zheng, Jichao Peng, Weize Li +22

We introduce World In Your Hands (WIYH), a large-scale open-source ecosystem comprising over 1,000 hours of human manipulation data collected in-the-wild with millimeter-scale moti…

cs.CV2023

Informative Data Selection with Uncertainty for Multi-modal Object Detection

Xinyu Zhang, Zhiwei Li, Zhenhong Zou +5

Noise has always been nonnegligible trouble in object detection by creating confusion in model reasoning, thereby reducing the informativeness of the data. It can lead to inaccurat…

cs.CV2021★ 9 cited

Efficient Urban-scale Point Clouds Segmentation with BEV Projection

Zhenhong Zou, Yizhe Li

Point clouds analysis has grasped researchers' eyes in recent years, while 3D semantic segmentation remains a problem. Most deep point clouds models directly conduct learning on 3D…

cs.CV2021★ 1 cited

A novel multimodal fusion network based on a joint coding model for lane line segmentation

Zhenhong Zou, Xinyu Zhang, Huaping Liu +3

There has recently been growing interest in utilizing multimodal sensors to achieve robust lane line segmentation. In this paper, we introduce a novel multimodal fusion architectur…

cs.CL2019

Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization

Yuchen Guo, Nicholas Hanoian, Zhexiao Lin +8

We propose a novel model for a topic-aware chatbot by combining the traditional Recurrent Neural Network (RNN) encoder-decoder model with a topic attention layer based on Nonnegati…