output
20022026
most citedThe Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package

7.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023 · cs.CVShow all

7 papers · 2 filters

cs.CV2023

DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification

Neetu Sigger, Tuan Thanh Nguyen, Gianluca Tozzi +2

Hyperspectral images (HSI) have become popular for analysing remotely sensed images in multiple domain like agriculture, medical. However, existing models struggle with complex rel…

cs.CV2023★ 44 cited

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge

Gregory Holste, Yiliang Zhou, Song Wang +22

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…

cs.CV2023★ 8 cited

Character Time-series Matching For Robust License Plate Recognition

Quang Huy Che, Tung Do Thanh, Cuong Truong Van

Automatic License Plate Recognition (ALPR) is becoming a popular study area and is applied in many fields such as transportation or smart city. However, there are still several lim…

cs.CV2023★ 4 cited

TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars

Quang Huy Che, Dinh Phuc Nguyen, Minh Quan Pham +1

Semantic segmentation is a common task in autonomous driving to understand the surrounding environment. Driveable Area Segmentation and Lane Detection are particularly important fo…

cs.CV2023★ 16 cited

Instance-level Few-shot Learning with Class Hierarchy Mining

Anh-Khoa Nguyen Vu, Thanh-Toan Do, Nhat-Duy Nguyen +3

Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to e…

cs.CV2023★ 16 cited

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation

Thanh-Danh Nguyen, Anh-Khoa Nguyen Vu, Nhat-Duy Nguyen +5

Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camo…

cs.CV2023★ 3 cited

Integrating Image Features with Convolutional Sequence-to-sequence Network for Multilingual Visual Question Answering

Triet Minh Thai, Son T. Luu

Visual Question Answering (VQA) is a task that requires computers to give correct answers for the input questions based on the images. This task can be solved by humans with ease b…