no code implementations • CVPR 2021 • Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan
Active sensing through the use of Adaptive Depth Sensors is a nascent field, with potential in areas such as Advanced driver-assistance systems (ADAS).
no code implementations • 6 Nov 2023 • Khiem Vuong, Robert Tamburo, Srinivasa G. Narasimhan
Despite the widespread deployment of outdoor cameras, their potential for automated analysis remains largely untapped due, in part, to calibration challenges.
no code implementations • 27 Mar 2024 • Khiem Vuong, N. Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan
Current methods for 2D and 3D object understanding struggle with severe occlusions in busy urban environments, partly due to the lack of large-scale labeled ground-truth annotations for learning occlusion.
1 code implementation • CVPR 2022 • N. Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan
Labeled real data of occlusions is scarce (even in large datasets) and synthetic data leaves a domain gap, making it hard to explicitly model and learn occlusions.
Ranked #1 on Amodal Instance Segmentation on WALT