output
19952026
most citedImproved Cosmological Constraints from New, Old and Combined Supernova Datasets

1.6k citations

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41 papers · 1 filter

cs.CV2026★ 2 cited

Towards Investigating Residual Hearing Loss: Quantification of Fibrosis in a Novel Cochlear OCT Dataset

Julia Dietlmeier, Benjamin Greenberg, Wenxuan He +10

Objective: Cochlear implants (CIs) are bionic prostheses that restores hearing via electrical stimulation of the auditory nerve. Hybrid CIs, which use electroacoustic stimulation (…

cs.CV2025

Is Complete Labeling Necessary? Understanding Active Learning in Longitudinal Medical Imaging

Siteng Ma, Honghui Du, Prateek Mathur +4

Detecting changes in longitudinal medical imaging using deep learning requires a substantial amount of accurately labeled data. However, labeling these images is notably more costl…

cs.CV2025

Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring

Sinh Trong Vu, Hieu Trung Pham, Dung Manh Nguyen +4

Classroom behavior monitoring is a critical aspect of educational research, with significant implications for student engagement and learning outcomes. Recent advancements in Visua…

cs.CV2025

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models

Mazharul Islam Rakib, Showrin Rahman, Joyanta Jyoti Mondal +4

In today's age of social media and marketing, copyright issues can be a major roadblock to the free sharing of images. Generative AI models have made it possible to create high-qua…

cs.CV2024★ 3 cited

The State of Computer Vision Research in Africa

Abdul-Hakeem Omotayo, Ashery Mbilinyi, Lukman Ismaila +16

Despite significant efforts to democratize artificial intelligence (AI), computer vision which is a sub-field of AI, still lags in Africa. A significant factor to this, is the limi…

cs.CV2023★ 4 cited

Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm

S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab +2

The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their reliability across numerous applications, underscoring the necessity for an in-depth explo…