tunaip at gmail dot com
Machine Learning Scientist, Adjunct Professor (Computer Vision) at the ECE department of the University of Victoria (UVic), BC, Canada.
My Ph.D. was completed under the supervision of Dr. Alexandra Branzan Albu at UVic in 2022; throughout this program I developed traditional CV- and Deep Learning-based systems for Environmental Monitoring. Notable vision tasks associated to that degree were 1) image dehazing/enhancement based on physical models, 2) data-driven methods including object detection, semantic and instance segmentation. During my B.Sc. degree in Computer Engineering (2014, UFS, Brazil) and my M.Sc. degree in Electrical Engineering (2016, CSULB, USA) I worked with CV, the development of mobile autonomous robots and VLSI systems.
Publications
Classification of Herring, Salmon, and Bubbles in Multi-Frequency Echograms using U-Net Neural Networks
Alex Slonimer, Stan Dosso, Alexandra Branzan Albu, Melissa Cote, Tunai Porto Marques, Alireza Rezvanifar, Kaan Ersahin, Todd Mudge, Stéphane Gauthier
IEEE Journal of Oceanic Engineering - July 2023, DOI: 10.1109/JOE.2023.3272393
PDF
U-MSAA-Net: A Multi-Scale Additive Attention-based Network for Pixel-level Identification of Finfish and Krill in Echograms
Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, Alex Slonimer, Alexandra Branzan Albu, Kaan Ersahin, Stéphane Gauthier
IEEE Journal of Oceanic Engineering - May 2023, DOI: 10.1109/JOE.2023.3252759
PDF
Automated identification system for ships data as a proxy for marine vessel related stressors
Patrick D. O’Hara, Norma S. Serra-Sogas, Lauren McWhinnie, Kim Pearce, Nicole Le Baron, Gregory O'Hagan, Andrea Nesdoly, Tunai Porto Marques, Rosaline Canessa
Science of The Total Environment (Elsevier) — Vol. 865, March 2023, ISSN 0048-9697
PDF, BibTeX
Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net
Alex L. Slonimer, Melissa Cote, Tunai Porto Marques, Alireza Rezvanifar, Stan E. Dosso, Alexandra Branzan Albu, Kaan Ersahin, Todd Mudge, Stephane Gauthier
CRV'22 — 19th Conference on Robots and Vision (selected for oral presentation)
Toronto, Ontario, June 2022
PDF, BibTeX
Improving effort estimates and informing temporal distribution of recreational salmon fishing in British Columbia, Canada using high-frequency optical imagery data
Benjamin D. Morrow, Patrick D. O’Hara, Natalie C. Ban, Tunai P. Marques, Molly D. Fraser, Norma S. Serra-Sogas, Christopher E. Bone
Fisheries Research (Elsevier) — Vol. 249, May 2022, ISSN 0165-7836.
PDF, BibTeX
Computer Vision-based Systems for Environmental Monitoring Applications
Tunai Porto Marques
Doctoral dissertation (defence date: April 5th, 2022)
University of Victoria, April 2022
Manuscript, BibTeX
Instance Segmentation-based Identification of Pelagic Species in Acoustic Backscatter Data
Tunai Porto Marques, Melissa Cote, Alireza Rezvanifar, Alexandra Branzan Albu, Kaan Ersahin, Todd Mudge, Stephane Gauthier
CVPRW'21 — 2021 Conference on Computer Vision and Pattern Recognition (CVPR) Workshop - 17th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS)
Virtual, June 2021
PDF, BibTeX, Conference website
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu
CRV'21 — 18th Conference on Robots and Vision (selected for oral presentation)
Burnaby, Canada, May 2021 (virtual)
PDF, BibTeX, Code, Conference website
Size-invariant Detection of Marine Vessels from Visual Time Series
Tunai Porto Marques, Alexandra Branzan Albu, Patrick O'Hara, Norma Serra, Ben Morrow, Lauren McWhinnie, Rosaline Canessa
WACV'21 — 2021 Winter Conference on Applications of Computer Vision (selected for oral presentation)
Waikoloa, Hawaii, January 2021 (virtual)
PDF, Code, Datasets, Presentation video (5 min.), BibTeX, Doctoral Consortium poster
Movement Tracks for the Automatic Detection of Fish Behavior in Videos
Declan McIntosh, Tunai Porto Marques, Alexandra Branzan Albu, Rodney Rountree, Fabio de Leo Cabrera
PDF, BibTeX
Presented in two non-archival venues:
NeurIPSW'20 — 2020 Conference on Neural Information Processing Systems (NeurIPS) Workshop - Tackling Climate Change with Machine Learning (Vancouver, virtual, December 2020)
Slides, Presentation video (5 min.), Conference website
CVPRW'21 — 2021 Conference on Computer Vision and Pattern Recognition (CVPR) Workshop - CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling (Virtual, June 2021)
Conference website
Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks
Tunai Porto Marques*, Alireza Rezvanifar*, Melissa Cote, Alexandra Branzan Albu, Kaan Ersahin, Todd Mudge, Stephane Gauthier. *: equal contribution
ICPR'20 — 2020 25th International Conference on Pattern Recognition
Milan, Italy, January 2021 (virtual)
PDF, Presentation video (6 min.), BibTeX
L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
Tunai Porto Marques, Alexandra Branzan Albu
CVPRW'20 — 2020 Conference on Computer Vision and Pattern Recognition (CVPR) Workshop - NTIRE: New Trends in Image Restoration and Enhancement (selected for oral presentation)
Seattle, USA, June 2020 (virtual)
Code, Dataset, PDF (CVF, arXiv), Slides, Videos: Poster (1 min.), Oral (10 min.), BibTeX
A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms
Alireza Rezvanifar*, Tunai Porto Marques*, Melissa Cote, Alexandra Branzan Albu, Alex Slonimer, Thomas Tolhurst, Kaan Ersahin, Todd Mudge, Stephane Gauthier. *: equal contribution
NeurIPSW'19 — 2019 Conference on Neural Information Processing Systems (NeurIPS) Workshop - Tackling Climate Change with Machine Learning
Vancouver, Canada, December 2019
PDF: arXiv, BibTeX
Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters
Tunai Porto Marques, Alexandra Brazan Albu, Maia Hoeberechts
ICPRW'18 — 2018 International Conference on Pattern Recognition (ICPR) Workshop - Computer Vision for Analysis of Underwater Imagery (CVAUI)
Beijing, China, August 2018
PDF, BibTeX
Autonomous Robot for Mapping Using Ultrasonic Sensors
Tunai Porto Marques, Fumio Hamano
IGESSC'17 — 2017 IEEE Green Energy and Smart Systems Conference
Long Beach (CA), USA, November 2017
PDF, Demo video, BibTeX
Robotic Platform with independent vision and navigation systems
Tunai Porto Marques, Leonardo Nogueira Matos, Hendrik Macedo, Danilo Henrique
WVC'13 — IX Workshop de Visão Computacional (9th Computer Vision Workshop)
Rio de Janeiro, Brazil, June 2013
PDF, Conference website, BibTeX
Sistema atencional para detecção e rastreamento de faces ("Attentional System for Face Detection and Tracking")
Leonardo P. S. Panta Leão, Tunai Porto Marques, Leonardo Nogueira Matos
Revista Brasileira de Computação Aplicada (RBCA) Vol. 3, Issue 1, 2011, ISSN 2176-6649
PDF, Demo video, BibTeX