Zobrazeno 1 - 10
of 3 468
pro vyhledávání: '"Kumar A, Ravi"'
Autor:
Sakhrani, Harsh, Pervez, Naseela, Kumar, Anirudh Ravi, Morstatter, Fred, Reed, Alexandra Graddy, Belz, Andrea
It is desirable to coarsely classify short scientific texts, such as grant or publication abstracts, for strategic insight or research portfolio management. These texts efficiently transmit dense information to experts possessing a rich body of knowl
Externí odkaz:
http://arxiv.org/abs/2407.06093
Language Models have previously shown strong negotiation capabilities in closed domains where the negotiation strategy prediction scope is constrained to a specific setup. In this paper, we first show that these models are not generalizable beyond th
Externí odkaz:
http://arxiv.org/abs/2406.10764
Semantic segmentation is an effective way to perform scene understanding. Recently, segmentation in 3D Bird's Eye View (BEV) space has become popular as its directly used by drive policy. However, there is limited work on BEV segmentation for surroun
Externí odkaz:
http://arxiv.org/abs/2404.06352
Autonomous driving systems require extensive data collection schemes to cover the diverse scenarios needed for building a robust and safe system. The data volumes are in the order of Exabytes and have to be stored for a long period of time (i.e., mor
Externí odkaz:
http://arxiv.org/abs/2403.16338
Dense 3D reconstruction has many applications in automated driving including automated annotation validation, multimodal data augmentation, providing ground truth annotations for systems lacking LiDAR, as well as enhancing auto-labeling accuracy. LiD
Externí odkaz:
http://arxiv.org/abs/2402.06826
Autor:
Unger, David, Gosala, Nikhil, Kumar, Varun Ravi, Borse, Shubhankar, Valada, Abhinav, Yogamani, Senthil
Most automated driving systems comprise a diverse sensor set, including several cameras, Radars, and LiDARs, ensuring a complete 360\deg coverage in near and far regions. Unlike Radar and LiDAR, which measure directly in 3D, cameras capture a 2D pers
Externí odkaz:
http://arxiv.org/abs/2309.09080
Autor:
Mohapatra, Sambit, Yogamani, Senthil, Kumar, Varun Ravi, Milz, Stefan, Gotzig, Heinrich, Mäder, Patrick
LiDAR is crucial for robust 3D scene perception in autonomous driving. LiDAR perception has the largest body of literature after camera perception. However, multi-task learning across tasks like detection, segmentation, and motion estimation using Li
Externí odkaz:
http://arxiv.org/abs/2307.08850
Autor:
Sundip Hemant Charmode, Abhishek Kumar Mishra, Sudhir Shyam Kushwaha, Nirav Nimavat, Simmi Mehra, Kumar Satish Ravi
Publikováno v:
Journal of Surgical Specialties and Rural Practice, Vol 5, Iss 2, Pp 37-45 (2024)
Musculoskeletal pathologies affecting shoulder girdle joints, other than gleno-humeral joint such as acromioclavicular joint arthritis, tendonitis, subacromial bursitis, subdeltoid bursitis, and osteochondritis dissecans, are relatively rare. In Midd
Externí odkaz:
https://doaj.org/article/61c71a119f724a43846be76a39cddb65
Autor:
Klingner, Marvin, Borse, Shubhankar, Kumar, Varun Ravi, Rezaei, Behnaz, Narayanan, Venkatraman, Yogamani, Senthil, Porikli, Fatih
Recent advances in 3D object detection (3DOD) have obtained remarkably strong results for LiDAR-based models. In contrast, surround-view 3DOD models based on multiple camera images underperform due to the necessary view transformation of features fro
Externí odkaz:
http://arxiv.org/abs/2303.02203
Autor:
N. B. Pushpa, Kumar Satish Ravi
Publikováno v:
National Journal of Clinical Anatomy, Vol 13, Iss 3, Pp 105-107 (2024)
Externí odkaz:
https://doaj.org/article/2d420a25d48245cebd905f50bb2bd032