no code implementations • 5 Sep 2023 • Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin
However, prior to deployment, new missions that employ new sensors will not have enough representative datasets to train a CNN model, while a model trained solely on data from previous missions will underperform when deployed to process the data on the new missions.
1 code implementation • 21 Feb 2023 • Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin
To ensure reliable object detection in autonomous systems, the detector must be able to adapt to changes in appearance caused by environmental factors such as time of day, weather, and seasons.
1 code implementation • CVPR 2022 • Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
While our usage of quantum computing does not surmount the fundamental intractability of robust fitting, by providing error bounds our algorithm is a practical improvement over randomised heuristics.
no code implementations • 27 Sep 2021 • Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian Reid
Future Moon bases will likely be constructed using resources mined from the surface of the Moon.
no code implementations • 8 May 2021 • Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
Many robotics applications require interest points that are highly repeatable under varying viewpoints and lighting conditions.
no code implementations • 1 Nov 2020 • Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian Reid
However, this creates an unboundedly-growing database that poses time and memory scalability challenges for place recognition methods.
no code implementations • 19 Aug 2019 • Yu Liu, Yutong Dai, Anh-Dzung Doan, Lingqiao Liu, Ian Reid
Through adding a common module, video loss, which we formulate with various forms of constraints (including weighted BCE loss, high-dimensional triplet loss, as well as a novel mixed instance-aware video loss), to train the parent network in the step (2), the network is then better prepared for the step (3), i. e. online fine-tuning on the target instance.
no code implementations • ICCV 2019 • Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid
Our experiments show that, compared to state-of-the-art techniques, our method has much greater potential for large-scale place recognition for autonomous driving.
3 code implementations • 20 Nov 2018 • Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid
Our approaches rely on local features with an encoding technique to represent an image as a single vector.
2 code implementations • 16 Jun 2018 • Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin
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.
no code implementations • 10 Feb 2018 • Ngoc-Trung Tran, Dang-Khoa Le Tan, Anh-Dzung Doan, Thanh-Toan Do, Tuan-Anh Bui, Mengxuan Tan, Ngai-Man Cheung
In order to overcome the resource constraints of mobile devices, we propose a system design that leverages the scalability advantage of image retrieval and accuracy of 3D model-based localization.
no code implementations • 8 Dec 2017 • Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Anh-Dzung Doan, Ngai-Man Cheung
This design has overcome a challenging problem in some previous works: optimizing non-smooth objective functions because of binarization.
no code implementations • 19 Jul 2016 • Thanh-Toan Do, Anh-Dzung Doan, Duc-Thanh Nguyen, Ngai-Man Cheung
This paper proposes two approaches for inferencing binary codes in two-step (supervised, unsupervised) hashing.
no code implementations • 18 Jul 2016 • Thanh-Toan Do, Anh-Dzung Doan, Ngai-Man Cheung
Our resulting optimization with these binary, independence, and balance constraints is difficult to solve.