DLSU · AdRIC · CIVI
The Center for Computational Imaging and Visual Innovations (CIVI) specializes in research projects centered towards solving real-world problems through deep learning solutions trained on visual data. Research projects under CIVI focus on specific goals, particularly (1) data collection, (2) model building and optimization, and (3) application development.
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From the lab
Research, people, and achievements at CIVI.
2026 September 14 - 17
Our BSMSCS student Rafael Subo Yap presented research entitled "Architecture-Aware Structured Pruning for Parameter-Efficient Dense Small-Object Detection" at the 35th International Conference on Artificial Neural Networks (ICANN), held in Padua, Italy 🇮🇹.
2026 September 13 - 17
Our lab head Arren Matthew Antioquia presented research entitled "A Comprehensive Analysis of Lightweight Design Strategies for Camouflaged Crop Detection and WiSDet: A Windshield-Guided Few-Shot Framework for Detecting Car Stickers in the Wild" at the 2026 IEEE International Conference on Image Processing (ICIP), held in Tampere, Finland 🇫🇮.
2026 June 26 - 28
Our BSMSCS student Aaron Gabrielle Dichoso presented research entitled "A Systematic Class-Wise Analysis of Challenges and Network Efficacy in Camouflaged Crop Detection" at the 10th International Conference on Graphics and Signal Processing (ICGSP), held in Okayama, Japan 🇯🇵.
2026 February 18
Congratulations to Charles Joseph Hinolan, Mac Andre Javellana, Mari Salvador Lapuz, and Audrea Arjaemi Tabadero on receiving the Outstanding Thesis Award (Silver Medal) for their work, "A Lightweight Computer Vision Model for Camouflaged Crop Detection." This marks CIVI`s second Outstanding Thesis Award in the BSCS program and third award overall. Their research evaluates lightweight object detection strategies, including pruning and knowledge distillation, to balance accuracy and computational efficiency for real-world agricultural applications.
2026 January 27 & 2026 February 17
CIVI held FRAME Sprint – Day 1 at the John Gokongwei Innovation Center, DLSU Laguna Campus, on January 27 and February 16, 2026, guiding BSMSCS and THS-ST3 students in refining research manuscripts and preparing papers for conference and journal submission.
2025 December 11
CIVI participated in the DOST-PCIEERD Grand MOA Signing for 2025 Approved Projects on December 11, 2025, at the Philippine Trade Training Center. The event recognized a DOST-PCIEERD-funded project with DLSU GAME Lab exploring synthetic 3D scenes for computer vision.
2024 October 28
Our faculty researcher Dr. John Jethro Virtusio delivered a presentation entitled "Computer Vision in Agriculture" at the 10th DOST-Balik Scientist Program (BSP) Annual Convention, held in the Philippine International Convention Center (PICC).
2024 October 18 - 20
Our lab head Arren Matthew Antioquia delivered a presentation entitled "Machine Learning Models for Biomedical Image Classification Session" at the International Conference on Biomedical Imaging and Signal Processing (ICBSP), held in the Hong Kong.
2024 October 18 - 20
Our lab head Arren Matthew Antioquia presented research entitled "Classifying Skin Diseases using Convolutional Neural Networks" at the International Conference on Biomedical Imaging and Signal Processing (ICBSP), held in Hong Kong.
From our students
Academic lectures & technical workshops delivered by our students
2026 October 17
Real-world datasets are rarely balanced. While object detection models perform exceptionally well on frequent objects, they often struggl...
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2026 October 10
In real-world scenarios, data is rarely balanced. While object detection models perform exceptionally well on frequent objects, they ofte...
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2025 November 19
Curriculum learning (CL) is a learning paradigm that trains machine learning models the same way that humans learn, by starting with easi...
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2025 November 19
Pruning is one of the most practical techniques for reducing the size and computational cost of deep learning models while preserving acc...
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2025 November 19
YOLO (You Only Look Once) is a real-time object detection framework known for its balance of speed and accuracy. Instead of separating ta...
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2025 November 19
This hands-on workshop offers participants a comprehensive introduction to Camouflaged Object Detection (COD), a field in computer vision...
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2025 November 12
Curriculum learning (CL) is a learning paradigm that trains machine learning models the same way that humans learn, by starting with easi...
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2025 November 12
As deep learning models grow increasingly complex, their deployment for real-world tasks faces challenges in computation and memory. Mode...
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2025 November 12
Single-stage object detectors have become a cornerstone in modern computer vision due to their balance of speed and accuracy. Unlike trad...
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2025 November 12
This lecture will cover Camouflaged Object Detection (COD), a field of Computer Vision that focuses on segmenting camouflaged objects hid...
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2025 July 5
Multimodal Object Detection is a growing field in computer vision that leverages multiple data sources to improve object detection perfor...
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2025 June 28
Small object detection is a specialized challenge in computer vision where objects occupy only a tiny portion of an image, making them di...
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2025 June 28
The development of deep learning models has greatly contributed to advancements in medical image analysis. However, training these models...
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2025 June 4
This hands-on workshop offers participants a comprehensive introduction to object segmentation, which is an essential technique in comput...
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2025 May 28
This academic lecture explores the task of object segmentation in computer vision. Discussions will include the history of computer visio...
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2025 March 12
This online lecture will cover residual learning, a practice widely utilized in computer vision networks. Attendees will learn the concep...
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2025 March 5
This lecture will give insight into super-resolution's inner workings and applications in different contexts. Attendees will be given kno...
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2025 Feb 19
You Only Look Once (YOLO) is a real-time object detection model that revolutionized the field for its speed and accuracy. It processes an...
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2025 Feb 12
You Only Look Once (YOLO) is a real-time object detection model that revolutionized the field for its speed and accuracy. It processes an...
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2025 Feb 8
Fine-grained visual classification (FGVC) involves classifying subjects with large similarities and small, subtle differences in appearan...
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2025 Feb 1
Fine-grained visual classification (FGVC) involves classifying subjects with large similarities and small, subtle differences in appearan...
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2024 Oct 30
The workshop provides a brief introduction to object detection and the YOLO family leading to the development of YOLOv8. Attendees will a...
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2024 Oct 9
In this talk, Joseph will give an overview of the PyTorch machine learning framework and how to build a simple model for image classifica...
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