no code implementations • 21 Nov 2023 • Yifan Wang, Yi Gong, Yuan Zeng
To address these issues, we present Hyb-NeRF, a novel neural radiance field with a multi-resolution hybrid encoding that achieves efficient neural modeling and fast rendering, which also allows for high-quality novel view synthesis.
no code implementations • 19 Mar 2023 • Yuan Zeng, Yi Gong, Jiawei Liu, Shangao Lin, Zidong Han, Ruoxiao Cao, Kaibin Huang, Khaled Ben Letaief
The features extracted from different channels are fused adaptively using a shared attention module, where the weights of neural features from multiple channels are learned during training the McAFF model.
no code implementations • 13 Feb 2023 • Xiang Zhou, Yuan Zeng, Yi Gong
Recent advances in deep generative adversarial networks (GAN) and self-attention mechanism have led to significant improvements in the challenging task of inpainting large missing regions in an image.
no code implementations • 24 May 2022 • Junyong Wang, Yuan Zeng, Yi Gong
Accurate detection of objects in 3D point clouds is a key problem in autonomous driving systems.
no code implementations • 5 Nov 2021 • Shangao Lin, Yuan Zeng, Yi Gong
Recent learning-based image classification and speech recognition approaches make extensive use of attention mechanisms to achieve state-of-the-art recognition power, which demonstrates the effectiveness of attention mechanisms.
no code implementations • 28 May 2019 • Yuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, Mufan Xu, Anlan Yu, Drew Patel, Xiaochen Guo, Yevgeny Berdichevsky, Zhiyuan Yan
This paper studies whether a bio-plausible model of a in vitro living neural network can be used to perform machine learning tasks and achieve good inference accuracy.
no code implementations • 10 Dec 2018 • Shaohua Wang, Song Gao, Xin Feng, Alan T. Murray, Yuan Zeng
Given different types of constraints on human life, people must make decisions that satisfy social activity needs.
no code implementations • 30 Oct 2017 • Yuan Zeng, Kevin Devincentis, Yao Xiao, Zubayer Ibne Ferdous, Xiaochen Guo, Zhiyuan Yan, Yevgeny Berdichevsky
Neural networks have shown great potential in many applications like speech recognition, drug discovery, image classification, and object detection.