27 citations · 38 across the 5 of their papers we have counts for
9 papers
Monocular Visual Odometry without Calibration or Test-time Optimization
Vladimir Yugay, Vlardimir Yugay, Duy-Kien Nguyen +3
The most accurate monocular visual odometry systems require known camera intrinsics, refine their estimates with test-time optimization, and recover trajectories only up to an unkn…
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain +3
This work does not introduce a new method. Instead, we present an interesting finding that questions the necessity of the inductive bias of locality in modern computer vision archi…
SimPLR: A Simple and Plain Transformer for Efficient Object Detection and Segmentation
Duy-Kien Nguyen, Martin R. Oswald, Cees G. M. Snoek
The ability to detect objects in images at varying scales has played a pivotal role in the design of modern object detectors. Despite considerable progress in removing hand-crafted…
R-MAE: Regions Meet Masked Autoencoders
Duy-Kien Nguyen, Vaibhav Aggarwal, Yanghao Li +4
In this work, we explore regions as a potential visual analogue of words for self-supervised image representation learning. Inspired by Masked Autoencoding (MAE), a generative pre-…
BoxeR: Box-Attention for 2D and 3D Transformers
Duy-Kien Nguyen, Jihong Ju, Olaf Booij +2
In this paper, we propose a simple attention mechanism, we call box-attention. It enables spatial interaction between grid features, as sampled from boxes of interest, and improves…
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond
Duy-Kien Nguyen, Vedanuj Goswami, Xinlei Chen
This paper focuses on visual counting, which aims to predict the number of occurrences given a natural image and a query (e.g. a question or a category). Unlike most prior works th…