Zobrazeno 1 - 10
of 319 551
pro vyhledávání: '"Khan P"'
Autor:
Noman, Mubashir, Ahsan, Noor, Naseer, Muzammal, Cholakkal, Hisham, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad Shahbaz
Large multimodal models (LMMs) have shown encouraging performance in the natural image domain using visual instruction tuning. However, these LMMs struggle to describe the content of remote sensing images for tasks such as image or region grounding,
Externí odkaz:
http://arxiv.org/abs/2409.16261
Accurate weather and climate modeling is critical for both scientific advancement and safeguarding communities against environmental risks. Traditional approaches rely heavily on Numerical Weather Prediction (NWP) models, which simulate energy and ma
Externí odkaz:
http://arxiv.org/abs/2409.07585
Personalized Federated Learning (pFL) holds immense promise for tailoring machine learning models to individual users while preserving data privacy. However, achieving optimal performance in pFL often requires a careful balancing act between memory o
Externí odkaz:
http://arxiv.org/abs/2409.06805
Autor:
Asif, Tauseef, Haidar, Ghulam, Yousafzai, Faisal, Khan, Murad Ul Islam, Khan, Qaisar, Fatima, Rakea
A resolving set for a simple graph $G$ is a subset of vertex set of $G$ such that it distinguishes all vertices of $G$ using the shortest distance from this subset. This subset is a metric basis if it is the smallest set with this property. A resolvi
Externí odkaz:
http://arxiv.org/abs/2409.12199
Autor:
Naveed, Asim, Naqvi, Syed S., Khan, Tariq M., Iqbal, Shahzaib, Wani, M. Yaqoob, Khan, Haroon Ahmed
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challenging due to inherent variations in appearance, contrast, texture, and b
Externí odkaz:
http://arxiv.org/abs/2409.05420
Autor:
Li, Long, Liu, Nian, Zhang, Dingwen, Li, Zhongyu, Khan, Salman, Anwer, Rao, Cholakkal, Hisham, Han, Junwei, Khan, Fahad Shahbaz
Publikováno v:
ECCV2024
Inter-image association modeling is crucial for co-salient object detection. Despite satisfactory performance, previous methods still have limitations on sufficient inter-image association modeling. Because most of them focus on image feature optimiz
Externí odkaz:
http://arxiv.org/abs/2409.01021
Autor:
Wang, Muwen, Haidar, Ghulam, Yousafzai, Faisal, Khan, Murad Ul Islam, Sikandar, Waseem, Khan, Asad Ul Islam
Metric dimensions and metric basis are graph invariants studied for their use in locating and indexing nodes in a graph. It was recently established that for bicyclic graph of type-III ($\Theta $-graphs), the metric dimension is $3$ only, when all pa
Externí odkaz:
http://arxiv.org/abs/2409.02947
Autor:
Jayachandran, Jinu, Khan, Imran Ali, Mohammed, Saif Khan, Hadani, Ronny, Chockalingam, Ananthanarayanan, Calderbank, Robert
When the delay period of the Zak-OTFS carrier is greater than the delay spread of the channel, and the Doppler period of the carrier is greater than the Doppler spread of the channel, the effective channel filter taps can simply be read off from the
Externí odkaz:
http://arxiv.org/abs/2408.09379
Autor:
Hanif, Asif, Shamshad, Fahad, Awais, Muhammad, Naseer, Muzammal, Khan, Fahad Shahbaz, Nandakumar, Karthik, Khan, Salman, Anwer, Rao Muhammad
Medical foundation models are gaining prominence in the medical community for their ability to derive general representations from extensive collections of medical image-text pairs. Recent research indicates that these models are susceptible to backd
Externí odkaz:
http://arxiv.org/abs/2408.07440
Autor:
Sun, Yasheng, Li, Bohan, Zhuge, Mingchen, Fan, Deng-Ping, Khan, Salman, Khan, Fahad Shahbaz, Koike, Hideki
Recent breakthroughs in understanding the human brain have revealed its impressive ability to efficiently process and interpret human thoughts, opening up possibilities for intervening in brain signals. In this paper, we aim to develop a straightforw
Externí odkaz:
http://arxiv.org/abs/2408.07317