Mar 21, 2024 · Title:Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling ; Comments: 14 pages, 8 figures ; Subjects: Computer ...

Mar 21, 2024 · To address this challenge, we introduce a novel Skip-Attention-based up-sampling Block (SAUB). This block initially augments the resolution of ...

In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point ...

[2023-02] Our paper AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers was accepted at CVPR 2023.

Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling ... point cloud processing tasks, including semantic segmentation ...

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites ...

Co-authors ; Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling. Y He, H Yu, M Ibrahim, X Liu, T Chen, A Ulhaq, A Mian.

Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling ... This strategy allows various transformer blocks to share the same ...

Experimental results demonstrate that the proposed LCPFormer outperforms various transformer-based methods in benchmarks including 3D shape classification ...

Jun 20, 2024 · Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling. ... Attention for 3D Point Clouds. IEEE Robotics ...