Výsledky vyhledávání - "Computer Science"

Packing Arc-Disjoint Cycles in Tournaments Autor Bessy, Stéphane, Bougeret, Marin, Krithika, R., Sahu, Abhishek, Saurabh, Saket, Thiebaut, Jocelyn, Zehavi, Meirav

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Blockchain basics : a non-technical introduction in 25 steps Autor Drescher, Daniel

“…In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No…”
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CRAFT: Concept Recursive Activation FacTorization for Explainability Autor Fel, Thomas, Picard, Agustin, Bethune, Louis, Boissin, Thibaut, Vigouroux, David, Colin, Julien, Cadenc, Remi, Serre, Thomas

“…Attribution methods, which employ heatmaps to identify the most influential regions of an image that impact model decisions, have gained widespread popularity…”
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OneFormer: One Transformer to Rule Universal Image Segmentation Autor Jain, Jitesh, Li, Jiachen, Chiu, MangTik, Hassani, Ali, Orlov, Nikita, Shi, Humphrey

“…Universal Image Segmentation is not a new concept. Past attempts to unify image segmentation include scene parsing, panoptic segmentation, and, more recently,…”
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YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors Autor Wang, Chien-Yao, Bochkovskiy, Alexey, Liao, Hong-Yuan Mark

“…Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training…”
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Improved Baselines with Visual Instruction Tuning Autor Liu, Haotian, Li, Chunyuan, Li, Yuheng, Lee, Yong Jae

“…Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning. In this paper, we present the first systematic study to…”
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A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability Autor Huang, Xiaowei, Kroening, Daniel, Ruan, Wenjie, Sharp, James, Sun, Youcheng, Thamo, Emese, Wu, Min, Yi, Xinping

“…In the past few years, significant progress has been made on deep neural networks (DNNs) in achieving human-level performance on several long-standing tasks…”
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Magic3D: High-Resolution Text-to-3D Content Creation Autor Lin, Chen-Hsuan, Gao, Jun, Tang, Luming, Takikawa, Towaki, Zeng, Xiaohui, Huang, Xun, Kreis, Karsten, Fidler, Sanja, Liu, Ming-Yu, Lin, Tsung-Yi

“…DreamFusion [31] has recently demonstrated the utility of a pretrained text-to-image diffusion model to optimize Neural Radiance Fields (NeRF) [23], achieving…”
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Imagic: Text-Based Real Image Editing with Diffusion Models Autor Kawar, Bahjat, Zada, Shiran, Lang, Oran, Tov, Omer, Chang, Huiwen, Dekel, Tali, Mosseri, Inbar, Irani, Michal

“…Text-conditioned image editing has recently attracted considerable interest. However, most methods are currently limited to one of the following: specific…”
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Null-text Inversion for Editing Real Images using Guided Diffusion Models Autor Mokady, Ron, Hertz, Amir, Aberman, Kfir, Pritch, Yael, Cohen-Or, Daniel

“…Recent large-scale text-guided diffusion models provide powerful image generation capabilities. Currently, a massive effort is given to enable the modification…”
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Multi-Concept Customization of Text-to-Image Diffusion Autor Kumari, Nupur, Zhang, Bingliang, Zhang, Richard, Shechtman, Eli, Zhu, Jun-Yan

“…While generative models produce high-quality images of concepts learned from a large-scale database, a user often wishes to synthesize instantiations of their…”
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Reproducible Scaling Laws for Contrastive Language-Image Learning Autor Cherti, Mehdi, Beaumont, Romain, Wightman, Ross, Wortsman, Mitchell, Ilharco, Gabriel, Gordon, Cade, Schuhmann, Christoph, Schmidt, Ludwig, Jitsev, Jenia

“…Scaling up neural networks has led to remarkable performance across a wide range of tasks. Moreover, performance often follows reliable scaling laws as a…”
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Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation Autor Tumanyan, Narek, Geyer, Michal, Bagon, Shai, Dekel, Tali

“…Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, synthesizing diverse images with highly…”
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Data Clustering: Algorithms and Applications Autor Aggarwal, Charu C., Reddy, Chandan K.

“…In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering…”
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CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion Autor Zhao, Zixiang, Bai, Haowen, Zhang, Jiangshe, Zhang, Yulun, Xu, Shuang, Lin, Zudi, Timofte, Radu, Van Gool, Luc

“…Multi-modality (MM) image fusion aims to render fused images that maintain the merits of different modalities, e.g., functional highlight and detailed…”
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GPT detectors are biased against non-native English writers Autor Liang, Weixin, Yuksekgonul, Mert, Mao, Yining, Wu, Eric, Zou, James

“…GPT detectors frequently misclassify non-native English writing as AI generated, raising concerns about fairness and robustness. Addressing the biases in these…”
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SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy Autor Li, Jiafeng, Wen, Ying, He, Lianghua

“…Convolutional Neural Networks (CNNs) have achieved remarkable performance in various computer vision tasks but this comes at the cost of tremendous…”
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HexPlane: A Fast Representation for Dynamic Scenes Autor Cao, Ang, Johnson, Justin

“…Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior approaches build on NeRF and rely on implicit representations. This is…”
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Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP Autor Liang, Feng, Wu, Bichen, Dai, Xiaoliang, Li, Kunpeng, Zhao, Yinan, Zhang, Hang, Zhang, Peizhao, Vajda, Peter, Marculescu, Diana

“…Open-vocabulary semantic segmentation aims to segment an image into semantic regions according to text descriptions, which may not have been seen during…”
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SPARF: Neural Radiance Fields from Sparse and Noisy Poses Autor Truong, Prune, Rakotosaona, Marie-Julie, Manhardt, Fabian, Tombari, Federico

“…Neural Radiance Field (NeRF) has recently emerged as a powerful representation to synthesize photorealistic novel views. While showing impressive performance,…”
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