Search Results for author: Frederic Maire

Found 14 papers, 5 papers with code

Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery

no code implementations27 Feb 2022 Scarlett Raine, Ross Marchant, Brano Kusy, Frederic Maire, Tobias Fischer

We propose a point label aware method for propagating labels within superpixel regions to obtain augmented ground truth for training a semantic segmentation model.

Semantic Segmentation Superpixels

Going Deeper into Semi-supervised Person Re-identification

no code implementations24 Jul 2021 Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

To reduce the need for labeled data, we focus on a semi-supervised approach that requires only a subset of the training data to be labeled.

Semi-Supervised Person Re-Identification

Learning and Executing Re-usable Behaviour Trees from Natural Language Instruction

1 code implementation3 Jun 2021 Gavin Suddrey, Ben Talbot, Frederic Maire

In this paper we demonstrate how behaviour trees, a well established control architecture in the fields of gaming and robotics, can be used in conjunction with natural language instruction to provide a robust and modular control architecture for instructing autonomous agents to learn and perform novel complex tasks.

DeepSeagrass Dataset

1 code implementation9 Mar 2021 Scarlett Raine, Ross Marchant, Peyman Moghadam, Frederic Maire, Brett Kettle, Brano Kusy

We introduce a dataset of seagrass images collected by a biologist snorkelling in Moreton Bay, Queensland, Australia, as described in our publication: arXiv:2009. 09924.

Semi-supervised Keypoint Localization

no code implementations ICLR 2021 Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

Keypoint representations are learnt with a semantic keypoint consistency constraint that forces the keypoint detection network to learn similar features for the same keypoint across the dataset.

Keypoint Detection

ECG-Based Driver Stress Levels Detection System Using Hyperparameter Optimization

no code implementations1 Jan 2021 Mohammad Naim Rastgoo, Bahareh Nakisa, Andry Rakotonirainy, Frederic Maire, Vinod Chandran

Our approach is to propose a framework based on Particle Swarm Optimization algorithm (PSO) to select an optimal/near optimal windowing hyperparameters values.

Hyperparameter Optimization

Multi-species Seagrass Detection and Classification from Underwater Images

1 code implementation18 Sep 2020 Scarlett Raine, Ross Marchant, Peyman Moghadam, Frederic Maire, Brett Kettle, Brano Kusy

Underwater surveys conducted using divers or robots equipped with customized camera payloads can generate a large number of images.

Classification General Classification

Keypoint-Aligned Embeddings for Image Retrieval and Re-identification

no code implementations26 Aug 2020 Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

Learning embeddings that are invariant to the pose of the object is crucial in visual image retrieval and re-identification.

Image Retrieval Multi-Task Learning

Learning landmark guided embeddings for animal re-identification

no code implementations9 Jan 2020 Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

Our method outperforms the same model without body landmarks input by 26% and 18% on the synthetic and the real datasets respectively.

Person Re-Identification

Improved Reinforcement Learning with Curriculum

no code implementations29 Mar 2019 Joseph West, Frederic Maire, Cameron Browne, Simon Denman

Humans tend to learn complex abstract concepts faster if examples are presented in a structured manner.

Board Games reinforcement-learning

Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings

1 code implementation28 Feb 2019 Olga Moskvyak, Frederic Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh

We present a novel system for visual re-identification based on unique natural markings that is robust to occlusions, viewpoint and illumination changes.

Towards the Targeted Environment-Specific Evolution of Robot Components

no code implementations11 Oct 2018 Jack Collins, Wade Geles, David Howard, Frederic Maire

This research considers the task of evolving the physical structure of a robot to enhance its performance in various environments, which is a significant problem in the field of Evolutionary Robotics.

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