27 citations · 55 across the 8 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…
UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision
Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen +1
In this paper, we explore how three related tasks, namely keypoint detection, description, and image retrieval can be jointly tackled using a single unified framework, which is tra…
Multi-task Learning of Hierarchical Vision-Language Representation
Duy-Kien Nguyen, Takayuki Okatani
It is still challenging to build an AI system that can perform tasks that involve vision and language at human level. So far, researchers have singled out individual tasks separate…
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
Duy-Kien Nguyen, Takayuki Okatani
A key solution to visual question answering (VQA) exists in how to fuse visual and language features extracted from an input image and question. We show that an attention mechanism…