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pro vyhledávání: '"Lahoud, P"'
Autor:
Ishaq, Ayesha, Boudjoghra, Mohamed El Amine, Lahoud, Jean, Khan, Fahad Shahbaz, Khan, Salman, Cholakkal, Hisham, Anwer, Rao Muhammad
3D multi-object tracking plays a critical role in autonomous driving by enabling the real-time monitoring and prediction of multiple objects' movements. Traditional 3D tracking systems are typically constrained by predefined object categories, limiti
Externí odkaz:
http://arxiv.org/abs/2410.01678
Publikováno v:
ICANN 2024, Lecture Notes in Computer Science (LNCS)
Mathematical solvers use parametrized Optimization Problems (OPs) as inputs to yield optimal decisions. In many real-world settings, some of these parameters are unknown or uncertain. Recent research focuses on predicting the value of these unknown p
Externí odkaz:
http://arxiv.org/abs/2406.03082
Autor:
Boudjoghra, Mohamed El Amine, Dai, Angela, Lahoud, Jean, Cholakkal, Hisham, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad Shahbaz
Recent works on open-vocabulary 3D instance segmentation show strong promise, but at the cost of slow inference speed and high computation requirements. This high computation cost is typically due to their heavy reliance on 3D clip features, which re
Externí odkaz:
http://arxiv.org/abs/2406.02548
Learning latent costs of transitions on graphs from trajectories demonstrations under various contextual features is challenging but useful for path planning. Yet, existing methods either oversimplify cost assumptions or scale poorly with the number
Externí odkaz:
http://arxiv.org/abs/2405.04923
Recent advancements in 3D perception systems have significantly improved their ability to perform visual recognition tasks such as segmentation. However, these systems still heavily rely on explicit human instruction to identify target objects or cat
Externí odkaz:
http://arxiv.org/abs/2404.03836
Scene understanding plays an essential role in enabling autonomous driving and maintaining high standards of performance and safety. To address this task, cameras and laser scanners (LiDARs) have been the most commonly used sensors, with radars being
Externí odkaz:
http://arxiv.org/abs/2310.02260
Autor:
Boudjoghra, Mohamed El Amine, Khatib, Salwa K. Al, Lahoud, Jean, Cholakkal, Hisham, Anwer, Rao Muhammad, Khan, Salman, Khan, Fahad
Existing 3D instance segmentation methods typically assume that all semantic classes to be segmented would be available during training and only seen categories are segmented at inference. We argue that such a closed-world assumption is restrictive a
Externí odkaz:
http://arxiv.org/abs/2309.14338
Autor:
Sleiman, Joseph Lahoud, Conforto, Filippo, Fosado, Yair Augusto Gutierrez, Michieletto, Davide
Knots are deeply entangled with every branch of science. One of the biggest open challenges in knot theory is to formalise a knot invariant that can unambiguously and efficiently distinguish any two knotted curves. Additionally, the conjecture that t
Externí odkaz:
http://arxiv.org/abs/2305.11722
Autor:
Malin Hultcrantz, Hani Hassoun, Neha Korde, Kylee MacLachlan, Sham Mailankody, Dhwani Patel, Urvi A. Shah, Carlyn Rose Tan, David J. Chung, Oscar B. Lahoud, Heather J. Landau, Michael Scordo, Gunjan L. Shah, Sergio A. Giralt, Matthew J. Pianko, Miranda Burge, Kelly Barnett, Meghan Salcedo, Julia Caple, Linh Tran, Jenna Blaslov, Tala Shekarkhand, Selena Hamid, David Nemirovsky, Andriy Derkach, Oluwatobi Arisa, Cody J. Peer, William D. Figg, Saad Z. Usmani, Ola Landgren, Alexander M. Lesokhin
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/fe04ce63af1445c2a54d5c8efb6e5ac9
The performance of perception systems developed for autonomous driving vehicles has seen significant improvements over the last few years. This improvement was associated with the increasing use of LiDAR sensors and point cloud data to facilitate the
Externí odkaz:
http://arxiv.org/abs/2304.08447