139 citations · 717 across the 57 of their papers we have counts for
10 papers · 1 filter
Compact Hash Code Learning with Binary Deep Neural Network
Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan +2
Learning compact binary codes for image retrieval problem using deep neural networks has recently attracted increasing attention. However, training deep hashing networks is challen…
Accessible Melanoma Detection using Smartphones and Mobile Image Analysis
T. -T. Do, T. Hoang, V. Pomponiu +6
We investigate the design of an entire mobile imaging system for early detection of melanoma. Different from previous work, we focus on smartphone-captured visible light images. Ou…
Supervised Hashing with End-to-End Binary Deep Neural Network
Dang-Khoa Le Tan, Thanh-Toan Do, Ngai-Man Cheung
Image hashing is a popular technique applied to large scale content-based visual retrieval due to its compact and efficient binary codes. Our work proposes a new end-to-end deep ne…
Deterministic Approximate Methods for Maximum Consensus Robust Fitting
Huu Le, Tat-Jun Chin, Anders Eriksson +2
Maximum consensus estimation plays a critically important role in robust fitting problems in computer vision. Currently, the most prevalent algorithms for consensus maximization dr…
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
Thanh-Toan Do, Anh Nguyen, Ian Reid
We propose AffordanceNet, a new deep learning approach to simultaneously detect multiple objects and their affordances from RGB images. Our AffordanceNet has two branches: an objec…
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
Trung Pham, Thanh-Toan Do, Niko Sünderhauf +1
This paper presents SceneCut, a novel approach to jointly discover previously unseen objects and non-object surfaces using a single RGB-D image. SceneCut's joint reasoning over sce…
Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked Spatial LSTM Networks
Anh Nguyen, Thanh-Toan Do, Darwin G. Caldwell +1
We present a new method to relocalize the 6DOF pose of an event camera solely based on the event stream. Our method first creates the event image from a list of events that occurs…
Selective Deep Convolutional Features for Image Retrieval
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan +1
Convolutional Neural Network (CNN) is a very powerful approach to extract discriminative local descriptors for effective image search. Recent work adopts fine-tuned strategies to f…
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
Thanh-Toan Do, Dang-Khoa Le Tan, Trung T. Pham +1
In most state-of-the-art hashing-based visual search systems, local image descriptors of an image are first aggregated as a single feature vector. This feature vector is then subje…
Enhance Feature Discrimination for Unsupervised Hashing
Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan +1
We introduce a novel approach to improve unsupervised hashing. Specifically, we propose a very efficient embedding method: Gaussian Mixture Model embedding (Gemb). The proposed met…