Computer Vision and Machine Intelligence Laboratory

Members

`⎚⩊⎚´

Laboratory Head

Prospero Naval

Computer Vision and Machine Intelligence Laboratory

`⎚⩊⎚´

Regular Member

Paul Rossener Regonia

Computer Vision and Machine Intelligence Laboratory

`⎚⩊⎚´

Regular Member

Roselyn Gabud

Computer Vision and Machine Intelligence Laboratory

`⎚⩊⎚´

Regular Member

Miguel Luis Martinez

Computer Vision and Machine Intelligence Laboratory

`⎚⩊⎚´

Regular Member

Carlo Raquel

Computer Vision and Machine Intelligence Laboratory

Publications

Events

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Computer Vision and Machine Intelligence Laboratory

Members

`⎚⩊⎚´

Prospero Naval

`⎚⩊⎚´

Paul Rossener Regonia

`⎚⩊⎚´

Roselyn Gabud

`⎚⩊⎚´

Miguel Luis Martinez

`⎚⩊⎚´

Carlo Raquel

Publications

USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network

Using Artificial Neural Networks for Automated Lithologic Mapping and Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas

Disease Diagnosis Through Patient-Reported Symptoms Narratives Using Multinomial Naive Bayes

Lightweight 3D Hand Pose Estimation Using Knowledge Distillation with Hand Kinematics

Enhanced Blood Loss Quantification Using a Novel Multi-Wavelength Imaging Approach

ClearOcean: Enhancing Underwater Images via Pyramid Diffusion Models

Cross-Domain Transfer Learning and Semantic Segmentation of Seismic Facies

Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat

Pneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network

Aero-Engine Condition-Based Maintenance Planning Using Reinforcement Learning

Automated Syllabus Tagging of Philippine Jurisprudence Using Multinomial Naive Bayes, Support Vector Machines and Artificial Neural Networks

Optimal Energy Mix Modeling Simulation Using Reinforcement Learning on Philippine Monthly Energy Utilization for 2020-2022

Performance Assessment of Classical Machine Learning Models Used for Entity Relationship Extraction on Online Philippine News Articles

Utilizing Naïve Bayes for Multidimensional Poverty Classification and Identifying Key Poverty Determinants

Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching

Leveraging Large Image-Caption Datasets for Multimodal Taxon Classification

Philippine Lime (Calamansi) Disease Detection and Classification Using YOLOv8 Model

1D-CNN Model for Fast Assessment of Beef Freshness from Noisy Electronic Nose Signal

Utilizing Naive Bayes for Multidimensional Poverty Classification and Identifying Key Poverty Determinants

Beyond canonical fine-tuning: Leveraging hybrid multi-layer pooled representations of BERT for automated essay scoring

Phishing Detection Using Ensemble of Classifiers

beats2beats: Activity-Driven Music Playlist Recommender System Using Wearable Sensor Data

Optimizing Rice Disease Classification: A Comparative Study of Different Color, Shape and Texture Features

The Hand Pose Estimation Model in measuring range of motion

Extracting Reproductive Condition and Habitat Information from Text Using a Transformer-based Information Extraction Pipeline

Multi-class Semantic Segmentation of Tooth Pathologies and Anatomical Structures on Bitewing and Periapical Radiographs

Estimating fish size, population density, species distribution and biomass. US Patent 11,612,148

Sample efficient deep reinforcement learning for Diwata microsatellite reaction wheel attitude control

Dynamic Model-Agnostic Meta-Learning for Incremental Few-Shot Learning

FASENet: A Two-Stream Fall Detection and Activity Monitoring Model Using Pose Keypoints and Squeeze-and-Excitation Networks

Automatic segmentation of nasopharyngeal carcinoma on CT images using efficient UNet-2.5 D ensemble with semi-supervised pretext task pretraining

Unraveling COVID-19 Misinformation with Latent Dirichlet Allocation and CatBoost

AFAR: a real-time vision-based activity monitoring and fall detection framework using 1D convolutional neural networks

Towards a Feasible Hand Gesture Recognition System as Sterile Interface in the Operating Room with 3D Convolutional Neural Network

Multispectral-based imaging and machine learning for noninvasive blood loss estimation

CLRGaze: Contrastive Learning of Representations for Eye Movement Signals

Covit-gan: vision transformer for covid-19 detection in ct scan images with self-attention gan for Data Augmentation

SynDHN: Multi-object fish tracker trained on synthetic underwater videos

GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder

A semi-supervised approach to monocular depth estimation, depth refinement, and semantic segmentation of driving scenes using a siamese triple decoder architecture

Towards learning to read like humans

Automated detection of helminth eggs in stool samples using convolutional neural networks

Behavioral phenotyping for autism spectrum disorder biomarkers using computer vision

A3C-GS: Adaptive Moment Gradient Sharing With Locks for Asynchronous Actor-Critic Agents

Using deep-belief networks to understand propensity for livelihood change in a rural coastal community to further conservation

Locally adaptive regression kernels and support vector machines for the detection of pneumonia in chest X-ray images

PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks

Underwater gesture recognition using classical computer vision and deep learning techniques

Unsupervised monocular depth estimation of driving scenes using siamese convolutional LSTM networks

DFRNets: Unsupervised Monocular Depth Estimation Using a Siamese Architecture for Disparity Refinement

TAG: Nucleus Detection in Colorectal Adenocarcinomas Histology Images using Local Texture, Appearance, and Gradient Features

How deep is your law? predicting associations between cases in philippine jurisprudence

Air drums: Playing drums using computer vision

Predicting protein-protein interactions based on biological information using extreme gradient boosting

Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild

SALSA: detection of cybertrolls using sentiment, aggression, lexical and syntactic analysis of tweets

Multi-scale autoencoders in autoencoder for semantic image segmentation

Simultaneous localization and segmentation of fish objects using multi-task CNN and dense CRF

COPIOUS: A gold standard corpus of named entities towards extracting species occurrence from biodiversity literature

AsiANet: Autoencoders in autoencoder for unsupervised monocular depth estimation

A Comparison of SVM and K-NN in the Classification of Jewel Damselfish Activity

Induced exploration on policy gradients by increasing actor entropy using advantage target regions

U-ISLES: Ischemic stroke lesion segmentation using U-Net

Alphabet Sign Language Image Classification Using Deep Learning

Stabilizing actor policies by approximating advantage distributions from K critics

AC2: A Policy Gradient Actor with Primary and Secondary Critics

Phishing Website classification using features of Web addresses and Web pages