18 papers · ranked by Valyu relevance
Sai Coumar, Zachary Kingston
Generating structured ASCII art using computational techniques demands a careful interplay between aesthetic representation and computational precision, requiring models that can effectively translate visual information into symbolic text characters. Although Convolutional Neural Networks (CNNs) have shown promise in…
Ruibo Shi, Lili Tao, Rohan Saphal, Fran Silavong + 1 more
We present CV4Code, a compact and effective computer vision method for sourcecode understanding. Our method leverages the contextual and the structural information available from the code snippet by treating each snippet as a two-dimensional image, which naturally encodes the context and retains the underlying…
David Bayani
Over the eight months since its release, ChatGPT and its underlying model, GPT3.5, have garnered massive attention, due to their potent mix of capability and accessibility. While a niche-industry of papers have emerged examining the scope of capabilities these models possess, the information fed to and extracted from…
Luna Sung-eun Jang, Sooyoung Cha, Martin Steinegger
Terminal-based workflows are central to large-scale structural biology, particularly in high-performance computing (HPC) environments and SSH sessions. Yet no existing tool enables real-time, interactive visualization of protein backbone structures directly within a text-only terminal. To address this gap, we present…
Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha + 8 more
Dynamical systems often generate distinct outputs according to different initial conditions, and one can infer the corresponding input configuration given an output. This property captures the essence of information encoding and decoding. Here, we demonstrate the use of self-organized patterns, combined with machine…
Omar Fitian Rashid, Saba A. Tuama, Humam Al-Shahwani, Mohammed Jasim Mohammed Alfahdawi
In modern digital communication, Confidentiality of text transmission is remains a concern in the current online communication as cyber threats and intrusion. To address these challenges, this paper proposes a dual-layered security system that integrates cryptography and multi-image steganography to strengthen text…
Adrian Tkachenko, Sepehr Salem, Ayotomiwa Ezekiel Adeniyi, Zülal Bingöl + 6 more
High-throughput sequencing (HTS) enables population-scale genomics but generates massive datasets, creating bottlenecks in storage, transfer, and analysis. FASTQ, the standard format for over two decades, stores one byte per base and one byte per quality score, leading to inefficient I/O, high storage costs, and…
Henning Otto Brinkhaus, Achim Zielesny, Christoph Steinbeck, Kohulan Rajan
The translation of images of chemical structures into machine-readable representations of the depicted molecules is known as optical chemical structure recognition (OCSR). There has been a lot of progress over the last three decades in this field, but the development of systems for the recognition of complex hand-drawn…
Maria-Eugenia Sánchez-Morales, José-Trinidad Guillen-Bonilla, Héctor Guillen-Bonilla, Alex Guillen-Bonilla + 3 more
'Héctor Guillen-Bonilla' 'Alex Guillen-Bonilla' 'Jorge Aguilar-Santiago' 'Maricela Jiménez-Rodríguez' 'Pier Luigi Mazzeo'] This paper proposes the transformation $S\rightarrowC\rightarrow$, where S is a digital gray-level image and $C\rightarrow$ is a vector expressed through the textural space. The proposed…
Wenqi Guo, Yiyang Du, Mohamed Shehata
Physical molecular models are widely used in educational settings for teaching organic and other branches of chemistry, offering an intuitive way of understanding molecular structures. Conversely, virtual models, while less intuitive, provide additional functionalities such as the ability to retrieve molecular names…
Adva Shoham, Rotem Broday-Dvir, Rafael Malach, Galit Yovel
A fundamental question dominating the study of human visual cortex is whether it is organized along visual or semantic information. This question is unresolved, and the controversy has been rekindled by the recent report that surprisingly, revealed that the representations of textual description of images by linguistic…
Yuze Li, Jun Zhu, Pengcheng Xu, Min Guo + 2 more
Fluorescence microscopy plays a critical role in live-cell imaging, yet the captured images often suffer from significant noise due to limited excitation intensity and constrained exposure times. Deep learning has emerged as a powerful solution for image denoising, especially the self-supervised methods can achieve…
Xinpeng Man, Yinglei Song, Congxu Zhu
In the past decade, a large amount of important digital data has been created and stored in the form of color images; the protection of such data from undesirable accesses has become an important problem in information security. In this paper, a new approach based on an evolutionary framework is proposed for the secure…
Henning Otto Brinkhaus, Kohulan Rajan, Achim Zielesny, Christoph Steinbeck
The development of deep learning-based optical chemical structure recognition (OCSR) systems has led to a need for datasets of chemical structure depictions. The diversity of the features in the training data is an important factor for the generation of deep learning systems that generalise well and are not overfit to…
Bevan L. Cheeseman, Ulrik Günther, Mateusz Susik, Krzysztof Gonciarz + 1 more
Modern microscopy modalities create a data deluge with gigabytes of data generated each second, or terabytes per day. Storing and processing these data is a severe bottleneck. We argue that this is an artifact of the images being represented on pixels. To address the root of the problem, we here propose the Adaptive…
Yuan Cao, Yinglei Song, Congxu Zhu, Boris Ryabko
Encryption of images is an important method that can effectively improve the security and privacy of crucial image data. Existing methods generally encrypt an image with a combination of scrambling and encoding operations. Currently, many applications require highly secure results for image encryption. New methods that…
Swapan Kumar Shee, Jyoti Khandelwal, Amit Kumar Bairwa
Today, communication using digital media has increased rapidly. In this digital communication era, providing security to sensitive images is essential at the time of transmission. The images are mostly focused nowadays because they are used directly or indirectly in every field of information sharing, for example…
Ahmad Husseen, Shakik Mahmud, Rana Jassim Mohammed
In this paper, we will present proposed enhance process of image compression by using RLE algorithm. This proposed yield to decrease the size of compressing image, but the original method used primarily for compressing a binary images [1].Which will yield increasing the size of an original image mostly when used for…