83 citations · 110 across the 6 of their papers we have counts for
8 papers
MonoNeuralFusion: Online Monocular Neural 3D Reconstruction with Geometric Priors
Zi-Xin Zou, Shi-Sheng Huang, Yan-Pei Cao +3
High-fidelity 3D scene reconstruction from monocular videos continues to be challenging, especially for complete and fine-grained geometry reconstruction. The previous 3D reconstru…
Can Attention Enable MLPs To Catch Up With CNNs?
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu +3
In the first week of May, 2021, researchers from four different institutions: Google, Tsinghua University, Oxford University and Facebook, shared their latest work [16, 7, 12, 17]…
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu +1
Attention mechanisms, especially self-attention, have played an increasingly important role in deep feature representation for visual tasks. Self-attention updates the feature at e…
Recursive-NeRF: An Efficient and Dynamically Growing NeRF
Guo-Wei Yang, Wen-Yang Zhou, Hao-Yang Peng +3
View synthesis methods using implicit continuous shape representations learned from a set of images, such as the Neural Radiance Field (NeRF) method, have gained increasing attenti…
PCT: Point cloud transformer
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu +3
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Tra…
Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates
Congyue Deng, Tai-Jiang Mu, Shi-Min Hu
Data-driven simulation is an important step-forward in computational physics when traditional numerical methods meet their limits. Learning-based simulators have been widely studie…