139 citations · 717 across the 57 of their papers we have counts for
11 papers · 1 filter
Visual Localization Under Appearance Change: Filtering Approaches
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin +4
A major focus of current research on place recognition is visual localization for autonomous driving. In this scenario, as cameras will be operating continuously, it is realistic t…
A Binary Optimization Approach for Constrained K-Means Clustering
Huu Le, Anders Eriksson, Thanh-Toan Do +1
K-Means clustering still plays an important role in many computer vision problems. While the conventional Lloyd method, which alternates between centroid update and cluster assignm…
Bayesian Semantic Instance Segmentation in Open Set World
Trung Pham, Vijay Kumar B G, Thanh-Toan Do +2
This paper addresses the semantic instance segmentation task in the open-set conditions, where input images can contain known and unknown object classes. The training process of ex…
MediaEval 2018: Predicting Media Memorability Task
Romain Cohendet, Claire-Hélène Demarty, Ngoc Duong +4
In this paper, we present the Predicting Media Memorability task, which is proposed as part of the MediaEval 2018 Benchmarking Initiative for Multimedia Evaluation. Participants ar…
G2D: from GTA to Data
Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do +1
This document describes G2D, a software that enables capturing videos from Grand Theft Auto V (GTA V), a popular role playing game set in an expansive virtual city. The target user…
Object Captioning and Retrieval with Natural Language
Anh Nguyen, Thanh-Toan Do, Ian Reid +2
We address the problem of jointly learning vision and language to understand the object in a fine-grained manner. The key idea of our approach is the use of object descriptions to…
Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image
Thanh-Toan Do, Ming Cai, Trung Pham +1
Detecting objects and their 6D poses from only RGB images is an important task for many robotic applications. While deep learning methods have made significant progress in visual o…
Binary Constrained Deep Hashing Network for Image Retrieval without Manual Annotation
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan +4
Learning compact binary codes for image retrieval task using deep neural networks has attracted increasing attention recently. However, training deep hashing networks for the task…
Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing
Tuan Hoang, Thanh-Toan Do, Huu Le +2
For unsupervised data-dependent hashing, the two most important requirements are to preserve similarity in the low-dimensional feature space and to minimize the binary quantization…
On-device Scalable Image-based Localization via Prioritized Cascade Search and Fast One-Many RANSAC
Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan +4
We present the design of an entire on-device system for large-scale urban localization using images. The proposed design integrates compact image retrieval and 2D-3D correspondence…
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan +3
In the large-scale image retrieval task, the two most important requirements are the discriminability of image representations and the efficiency in computation and storage of repr…