Zobrazeno 1 - 10
of 27 229
pro vyhledávání: '"Mubarak, A. A."'
Autor:
Siddiqui, Nyle, Croitoru, Florinel Alin, Nayak, Gaurav Kumar, Ionescu, Radu Tudor, Shah, Mubarak
With the recent exhibited strength of generative diffusion models, an open research question is \textit{if images generated by these models can be used to learn better visual representations}. While this generative data expansion may suffice for easi
Externí odkaz:
http://arxiv.org/abs/2411.07205
Video geolocalization is a crucial problem in current times. Given just a video, ascertaining where it was captured from can have a plethora of advantages. The problem of worldwide geolocalization has been tackled before, but only using the image mod
Externí odkaz:
http://arxiv.org/abs/2411.06344
Autor:
Singh, Utsav, Chakraborty, Souradip, Suttle, Wesley A., Sadler, Brian M., Sahu, Anit Kumar, Shah, Mubarak, Namboodiri, Vinay P., Bedi, Amrit Singh
This work introduces Hierarchical Preference Optimization (HPO), a novel approach to hierarchical reinforcement learning (HRL) that addresses non-stationarity and infeasible subgoal generation issues when solving complex robotic control tasks. HPO le
Externí odkaz:
http://arxiv.org/abs/2411.00361
Diffusion models, widely used for image and video generation, face a significant limitation: the risk of memorizing and reproducing training data during inference, potentially generating unauthorized copyrighted content. While prior research has focu
Externí odkaz:
http://arxiv.org/abs/2410.21669
In this paper, we identify and leverage a novel `bright ending' (BE) anomaly in diffusion models prone to memorizing training images to address a new task: locating localized memorization regions within these models. BE refers to a distinct cross-att
Externí odkaz:
http://arxiv.org/abs/2410.21665
Autor:
Applegate, Travis, Brenny, Noah, Chen, Chunhui, Choudhury, Seema, Cochran, James, Kang, Shuaiyan, Khatri, Avinash, Kindo, Haruki, Lam, Tommy, Mitra, Sayan, Mubarak, Adil, Piilonen, Leo, Prell, Soeren, Veronesi, Michele
We have designed and commissioned a new readout board to detect photosensor signals from gas-bubbler panels to continuously monitor the gas flow through the resistive plate chambers of the $K_L^0$ and muon detector of Belle II. The gas flow measureme
Externí odkaz:
http://arxiv.org/abs/2410.10261
Recent advancements in 3D Large Language Models (3DLLMs) have highlighted their potential in building general-purpose agents in the 3D real world, yet challenges remain due to the lack of high-quality robust instruction-following data, leading to lim
Externí odkaz:
http://arxiv.org/abs/2410.00255
Autor:
Yakubu, Mubarak, Zweiri, Yahya, Abubakar, Ahmad, Azzam, Rana, Alhammadi, Ruqayya, Seneviratne, Lakmal
Autonomous space rovers face significant challenges when navigating deformable and heterogeneous terrains due to variability in soil properties, which can lead to severe wheel slip, compromising navigation efficiency and increasing the risk of entrap
Externí odkaz:
http://arxiv.org/abs/2409.02273
Real-life applications of action recognition often require a fine-grained understanding of subtle movements, e.g., in sports analytics, user interactions in AR/VR, and surgical videos. Although fine-grained actions are more costly to annotate, existi
Externí odkaz:
http://arxiv.org/abs/2409.01448
Temporal video alignment aims to synchronize the key events like object interactions or action phase transitions in two videos. Such methods could benefit various video editing, processing, and understanding tasks. However, existing approaches operat
Externí odkaz:
http://arxiv.org/abs/2409.01445