Zobrazeno 1 - 10
of 1 011
pro vyhledávání: '"SÁNCHEZ, VICTOR"'
Autor:
Atote, Bhushan, Sanchez, Victor
Explainable Artificial Intelligence (xAI) has the potential to enhance the transparency and trust of AI-based systems. Although accurate predictions can be made using Deep Neural Networks (DNNs), the process used to arrive at such predictions is usua
Externí odkaz:
http://arxiv.org/abs/2408.04606
Autor:
Yang, Yixuan, Lu, Junru, Zhao, Zixiang, Luo, Zhen, Yu, James J. Q., Sanchez, Victor, Zheng, Feng
Designing 3D indoor layouts is a crucial task with significant applications in virtual reality, interior design, and automated space planning. Existing methods for 3D layout design either rely on diffusion models, which utilize spatial relationship p
Externí odkaz:
http://arxiv.org/abs/2406.03866
Human Activity Recognition (HAR) has become increasingly popular with ubiquitous computing, driven by the popularity of wearable sensors in fields like healthcare and sports. While Convolutional Neural Networks (ConvNets) have significantly contribut
Externí odkaz:
http://arxiv.org/abs/2405.19349
Autor:
Styles, Olly, Miller, Sam, Cerda-Mardini, Patricio, Guha, Tanaya, Sanchez, Victor, Vidgen, Bertie
We introduce WorkBench: a benchmark dataset for evaluating agents' ability to execute tasks in a workplace setting. WorkBench contains a sandbox environment with five databases, 26 tools, and 690 tasks. These tasks represent common business activitie
Externí odkaz:
http://arxiv.org/abs/2405.00823
Here we consider the problem of all the possible orders of a linguistic structure formed by $n$ elements, for instance, subject, direct object and verb ($n=3$) or subject, direct object, indirect object and verb ($n=4$). We investigate if the frequen
Externí odkaz:
http://arxiv.org/abs/2404.14192
We propose CLIP-EBC, the first fully CLIP-based model for accurate crowd density estimation. While the CLIP model has demonstrated remarkable success in addressing recognition tasks such as zero-shot image classification, its potential for counting h
Externí odkaz:
http://arxiv.org/abs/2403.09281
Face image synthesis is gaining more attention in computer security due to concerns about its potential negative impacts, including those related to fake biometrics. Hence, building models that can detect the synthesized face images is an important c
Externí odkaz:
http://arxiv.org/abs/2401.04257
Face image synthesis detection is considerably gaining attention because of the potential negative impact on society that this type of synthetic data brings. In this paper, we propose a data-agnostic solution to detect the face image synthesis proces
Externí odkaz:
http://arxiv.org/abs/2401.04241
Cross-age facial images are typically challenging and expensive to collect, making noise-free age-oriented datasets relatively small compared to widely-used large-scale facial datasets. Additionally, in real scenarios, images of the same subject at d
Externí odkaz:
http://arxiv.org/abs/2312.11195