6 citations · 11 across the 6 of their papers we have counts for
6 papers
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
Zikuan Li, Qiaoyun Wu, Jialin Zhang +2
Spiking neural networks (SNNs), inspired by the spiking computation paradigm of the biological neural systems, have exhibited superior energy efficiency in 2D classification tasks…
FSH3D: 3D Representation via Fibonacci Spherical Harmonics
Zikuan Li, Anyi Huang, Wenru Jia +3
Spherical harmonics are a favorable technique for 3D representation, employing a frequency-based approach through the spherical harmonic transform (SHT). Typically, SHT is performe…
Image-Goal Navigation in Complex Environments via Modular Learning
Qiaoyun Wu, Jun Wang, Jing Liang +2
We present a novel approach for image-goal navigation, where an agent navigates with a goal image rather than accurate target information, which is more challenging. Our goal is to…
Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning
Qiaoyun Wu, Xiaoxi Gong, Kai Xu +3
We present a target-driven navigation system to improve mapless visual navigation in indoor scenes. Our method takes a multi-view observation of a robot and a target as inputs at e…
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization
Qiaoyun Wu, Kai Xu, Jun Wang +3
To enhance the cross-target and cross-scene generalization of target-driven visual navigation based on deep reinforcement learning (RL), we introduce an information-theoretic regul…
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
Qiaoyun Wu, Dinesh Manocha, Jun Wang +1
We propose improving the cross-target and cross-scene generalization of visual navigation through learning an agent that is guided by conceiving the next observations it expects to…