2.5k citations · 4.7k across the 10 of their papers we have counts for
10 papers
Long Range Pooling for 3D Large-Scale Scene Understanding
Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu +2
Inspired by the success of recent vision transformers and large kernel design in convolutional neural networks (CNNs), in this paper, we analyze and explore essential reasons for t…
Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu +7
Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim o…
Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images
Guo-Ye Yang, Xiang-Li Li, Ralph R. Martin +1
Objects in aerial images have greater variations in scale and orientation than in typical images, so detection is more difficult. Convolutional neural networks use a variety of fre…
Subdivision-Based Mesh Convolution Networks
Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo +4
Convolutional neural networks (CNNs) have made great breakthroughs in 2D computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly…
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]…
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…
Shape retrieval of non-rigid 3d human models
David Pickup, Xianfang Sun, Paul L Rosin +28
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend…
CAD model simplification error estimation for electrostatics problems
Navid Rahimi, Pierre Kerfriden, Frank C Langbein +1
Simplifying the geometry of a CAD model using defeaturing techniques enables more efficient discretisation and subsequent simulation for engineering analysis problems. Understandin…
A Comparative Study of Algorithms for Realtime Panoramic Video Blending
Zhe Zhu, Jiaming Lu, Minxuan Wang +4
Unlike image blending algorithms, video blending algorithms have been little studied. In this paper, we investigate 6 popular blending algorithms---feather blending, multi-band ble…
The on-line shortest path problem under partial monitoring
Andras Gyorgy, Tamas Linder, Gabor Lugosi +1
The on-line shortest path problem is considered under various models of partial monitoring. Given a weighted directed acyclic graph whose edge weights can change in an arbitrary (a…