48 citations · 156 across the 30 of their papers we have counts for
17 papers · 1 filter
Zero-Shot Captioning for Cultural Heritage: Automated Image Analysis of Traditional Indonesian Clothing
Anugrah Aidin Yotolembah, Novanto Yudistira, Gembong Edhi Setyawan
This paper presents Custom ZeroCLIP, a retrieval-augmented vision-language framework for zero-shot captioning of Indonesian traditional garments. The dataset contains 3,800 expert-…
Adaptive Conformal Prediction for Reliable and Explainable Medical Image Classification
One Octadion, Novanto Yudistira, Lailil Muflikhah
Deep learning models for medical imaging often exhibit overconfidence, creating safety risks in ambiguous diagnostic scenarios. While Conformal Prediction (CP) provides distributio…
Training-Free Disentangled Text-Guided Image Editing via Sparse Latent Constraints
Mutiara Shabrina, Nova Kurnia Putri, Jefri Satria Ferdiansyah +2
Text-driven image manipulation often suffers from attribute entanglement, where modifying a target attribute (e.g., adding bangs) unintentionally alters other semantic properties s…
Input-Adaptive Visual Preprocessing for Efficient Fast Vision-Language Model Inference
Putu Indah Githa Cahyani, Komang David Dananjaya Suartana, Novanto Yudistira
Vision-Language Models (VLMs) have demonstrated strong performance on multimodal reasoning tasks, but their deployment remains challenging due to high inference latency and computa…
Towards Adaptive Fusion of Multimodal Deep Networks for Human Action Recognition
Novanto Yudistira
This study introduces a pioneering methodology for human action recognition by harnessing deep neural network techniques and adaptive fusion strategies across multiple modalities,…
Efficient Object Detection of Marine Debris using Pruned YOLO Model
Abi Aryaza, Novanto Yudistira, Tibyani
Marine debris poses significant harm to marine life due to substances like microplastics, polychlorinated biphenyls, and pesticides, which damage habitats and poison organisms. Hum…
SparseSwin: Swin Transformer with Sparse Transformer Block
Krisna Pinasthika, Blessius Sheldo Putra Laksono, Riyandi Banovbi Putera Irsal +2
Advancements in computer vision research have put transformer architecture as the state of the art in computer vision tasks. One of the known drawbacks of the transformer architect…
IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning
Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman +1
The rich diversity of herbal plants in Indonesia holds immense potential as alternative resources for traditional healing and ethnobotanical practices. However, the dwindling recog…
Mixture of Self-Supervised Learning
Aristo Renaldo Ruslim, Novanto Yudistira, Budi Darma Setiawan
Self-supervised learning is popular method because of its ability to learn features in images without using its labels and is able to overcome limited labeled datasets used in supe…
Sparse then Prune: Toward Efficient Vision Transformers
Yogi Prasetyo, Novanto Yudistira, Agus Wahyu Widodo
The Vision Transformer architecture is a deep learning model inspired by the success of the Transformer model in Natural Language Processing. However, the self-attention mechanism,…
Supervised Virtual-to-Real Domain Adaptation for Object Detection Task using YOLO
Akbar Satya Nugraha, Yudistira Novanto, Bayu Rahayudi
Deep neural network shows excellent use in a lot of real-world tasks. One of the deep learning tasks is object detection. Well-annotated datasets will affect deep neural network ac…
Text recognition on images using pre-trained CNN
Afgani Fajar Rizky, Novanto Yudistira, Edy Santoso
A text on an image often stores important information and directly carries high level semantics, makes it as important source of information and become a very active research topic…
Gated Self-supervised Learning For Improving Supervised Learning
Erland Hilman Fuadi, Aristo Renaldo Ruslim, Putu Wahyu Kusuma Wardhana +1
In past research on self-supervised learning for image classification, the use of rotation as an augmentation has been common. However, relying solely on rotation as a self-supervi…
Image Colorization using U-Net with Skip Connections and Fusion Layer on Landscape Images
Muhammad Hisyam Zayd, Novanto Yudistira, Randy Cahya Wihandika
We present a novel technique to automatically colorize grayscale images that combine the U-Net model and Fusion Layer features. This approach allows the model to learn the coloriza…
Mask Usage Recognition using Vision Transformer with Transfer Learning and Data Augmentation
Hensel Donato Jahja, Novanto Yudistira, Sutrisno
The COVID-19 pandemic has disrupted various levels of society. The use of masks is essential in preventing the spread of COVID-19 by identifying an image of a person using a mask.…
Correlation Net: Spatiotemporal multimodal deep learning for action recognition
Novanto Yudistira, Takio Kurita
This paper describes a network that captures multimodal correlations over arbitrary timestamps. The proposed scheme operates as a complementary, extended network over a multimodal…
Evaluation of Feature Detector-Descriptor for Real Object Matching under Various Conditions of Ilumination and Affine Transformation
Novanto Yudistira, Achmad Ridok, Ali Fauzi
This study attempts to provide explanations, descriptions and evaluations of some most popular and current combinations of description and descriptor frameworks, namely SIFT, SURF,…