52 citations · 215 across the 28 of their papers we have counts for
28 papers
Vision And Text Transformer For Predicting Answerability On Visual Question Answering
Tung Le, Huy Tien Nguyen, Le Minh Nguyen
Answerability on Visual Question Answering is a novel and attractive task to predict answerable scores between images and questions in multi-modal data. Existing works often utiliz…
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau +4
Polyp segmentation has recently garnered significant attention, and multiple methods have been formulated to achieve commendable outcomes. However, these techniques often confront…
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Minh-Tien Nguyen, Duy-Hung Nguyen, Shahab Sabahi +3
Large language models (LLMs) have significantly advanced the field of natural language processing, with GPT models at the forefront. While their remarkable performance spans a rang…
CinPatent: Datasets for Patent Classification
Minh-Tien Nguyen, Nhung Bui, Manh Tran-Tien +2
Patent classification is the task that assigns each input patent into several codes (classes). Due to its high demand, several datasets and methods have been introduced. However, t…
Meeting Decision Tracker: Making Meeting Minutes with De-Contextualized Utterances
Shumpei Inoue, Hy Nguyen, Pham Viet Hoang +2
Meetings are a universal process to make decisions in business and project collaboration. The capability to automatically itemize the decisions in daily meetings allows for extensi…
MTet: Multi-domain Translation for English and Vietnamese
Chinh Ngo, Trieu H. Trinh, Long Phan +5
We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation. MTet consists of 4.2M high-quality training sentence pairs and a multi-domain…
Improving Document Image Understanding with Reinforcement Finetuning
Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu +3
Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving t…
EfficientNet for Brain-Lesion classification
Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov +1
In the development of technology, there are increasing cases of brain disease, there are more treatments proposed and achieved a positive result. However, with Brain-Lesion, the ea…
Res-Dense Net for 3D Covid Chest CT-scan classification
Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen Dinh
One of the most contentious areas of research in Medical Image Preprocessing is 3D CT-scan. With the rapid spread of COVID-19, the function of CT-scan in properly and swiftly diagn…
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries
Gia H. Ngo, Minh Nguyen, Nancy F. Chen +1
Neuroimaging studies are often limited by the number of subjects and cognitive processes that can be feasibly interrogated. However, a rapidly growing number of neuroscientific stu…
Pin(2)-equivariance of the Rarita-Schwinger-Seiberg-Witten Equations
Minh Lam Nguyen
We define a variant of the Seiberg-Witten equations using the Rarita-Schwinger operators for closed simply connected spin smooth 4-manifold X. The moduli space of solutions to the…
Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
Nguyen Hong Son, Hieu M. Vu, Tuan-Anh D. Nguyen +1
This paper introduces a new information extraction model for business documents. Different from prior studies which only base on span extraction or sequence labeling, the model tak…
Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback
Duy-Hung Nguyen, Nguyen Viet Dung Nghiem, Bao-Sinh Nguyen +4
For summarization, human preference is critical to tame outputs of the summarizer in favor of human interests, as ground-truth summaries are scarce and ambiguous. Practical setting…
Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation
Shumpei Inoue, Tsungwei Liu, Nguyen Hong Son +1
This paper introduces a model for incomplete utterance restoration (IUR) called JET (\textbf{J}oint learning token \textbf{E}xtraction and \textbf{T}ext generation). Different from…
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
Ekrem Çetinkaya, Minh Nguyen, Christian Timmerer
Deep neural network (DNN) based approaches have been intensively studied to improve video quality thanks to their fast advancement in recent years. These approaches are designed ma…
Robust Deep Reinforcement Learning for Extractive Legal Summarization
Duy-Hung Nguyen, Bao-Sinh Nguyen, Nguyen Viet Dung Nghiem +4
Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles. Recent…
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query
Gia H. Ngo, Minh Nguyen, Nancy F. Chen +1
Most neuroimaging experiments are under-powered, limited by the number of subjects and cognitive processes that an individual study can investigate. Nonetheless, over decades of re…
HYDRA -- Hyper Dependency Representation Attentions
Ha-Thanh Nguyen, Vu Tran, Tran-Binh Dang +3
Attention is all we need as long as we have enough data. Even so, it is sometimes not easy to determine how much data is enough while the models are becoming larger and larger. In…
Custom Deep Neural Network for 3D Covid Chest CT-scan Classification
Quoc Huy Trinh, Minh Van Nguyen
3D CT-scan base on chest is one of the controversial topisc of the researcher nowadays. There are many tasks to diagnose the disease through CT-scan images, include Covid19. In thi…
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing
Ha-Thanh Nguyen, Vu Tran, Phuong Minh Nguyen +6
Ambiguity is a characteristic of natural language, which makes expression ideas flexible. However, in a domain that requires accurate statements, it becomes a barrier. Specifically…
JNLP Team: Deep Learning Approaches for Legal Processing Tasks in COLIEE 2021
Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong +6
COLIEE is an annual competition in automatic computerized legal text processing. Automatic legal document processing is an ambitious goal, and the structure and semantics of the la…
Refined Deep Neural Network and U-Net for Polyps Segmentation
Quoc-Huy Trinh, Minh-Van Nguyen, Thiet-Gia Huynh +1
The Medico: Multimedia Task 2020 focuses on developing an efficient and accurate computer-aided diagnosis system for automatic segmentation [3]. We participate in task 1, Polyps se…
Gunrock 2.0: A User Adaptive Social Conversational System
Kaihui Liang, Austin Chau, Yu Li +8
Gunrock 2.0 is built on top of Gunrock with an emphasis on user adaptation. Gunrock 2.0 combines various neural natural language understanding modules, including named entity detec…
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen +7
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020. These systems are all characterized by being pre-traine…