Zobrazeno 1 - 10
of 12 357
pro vyhledávání: '"A, Farzan"'
The use of CLIP embeddings to assess the alignment of samples produced by text-to-image generative models has been extensively explored in the literature. While the widely adopted CLIPScore, derived from the cosine similarity of text and image embedd
Externí odkaz:
http://arxiv.org/abs/2412.18645
The availability of multiple training algorithms and architectures for generative models requires a selection mechanism to form a single model over a group of well-trained generation models. The selection task is commonly addressed by identifying the
Externí odkaz:
http://arxiv.org/abs/2412.17622
Autor:
Moosavi, Farzan, Farooq, Bilal
We introduce a multi-modal autonomous delivery optimization framework as a coalition game for a fleet of UAVs and ADRs operating in two overlaying networks to address last-mile delivery in urban environments, including high-density areas, road-based
Externí odkaz:
http://arxiv.org/abs/2412.17252
Saliency maps are widely used in the computer vision community for interpreting neural network classifiers. However, due to the randomness of training samples and optimization algorithms, the resulting saliency maps suffer from a significant level of
Externí odkaz:
http://arxiv.org/abs/2412.14509
As well known, the cross sections of the resonance and Quasi-Elastic (QE) scattering off nucleons depend on quantities known as form factors that describe the nucleon structure. There are alternative approaches to determine the values of these non-pe
Externí odkaz:
http://arxiv.org/abs/2412.13349
Autor:
Rostamkhani, Mohammadmostafa, Ansari, Baktash, Sabzevari, Hoorieh, Rahmani, Farzan, Eetemadi, Sauleh
In recent years, Visual Question Answering (VQA) has made significant strides, particularly with the advent of multimodal models that integrate vision and language understanding. However, existing VQA datasets often overlook the complexities introduc
Externí odkaz:
http://arxiv.org/abs/2412.08169
Multiple Object Tracking (MOT) in thermal imaging presents unique challenges due to the lack of visual features and the complexity of motion patterns. This paper introduces an innovative approach to improve MOT in the thermal domain by developing a n
Externí odkaz:
http://arxiv.org/abs/2411.12943
Autor:
Ye, Zhuorui, Farnia, Farzan
Gradient-based saliency maps have been widely used to interpret the decisions of neural network classifiers and discover phenomena from their learned functions. Standard gradient-based maps are frequently observed to be highly sensitive to the random
Externí odkaz:
http://arxiv.org/abs/2411.05837
Text-conditioned generation models are commonly evaluated based on the quality of the generated data and its alignment with the input text prompt. On the other hand, several applications of prompt-based generative models require sufficient diversity
Externí odkaz:
http://arxiv.org/abs/2411.02817
Autor:
McCauley, Mairi, Ansari, Lida, Gity, Farzan, Rogers, Matthew, Burton, Joel, Sasaki, Satoshi, Ramasse, Quentin, Knox, Craig, Hurley, Paul K, MacLaren, Donald, Moorsom, Timothy
Topological Insulators (TIs) present an interesting materials platform for nanoscale, high frequency devices because they support high mobility, low scattering electronic transport within confined surface states. However, a robust methodology to cont
Externí odkaz:
http://arxiv.org/abs/2410.23983