activity
20222026
most citedA Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth

19 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Proxy-Guided Measurement Calibration

Saketh Vishnubhatla, Shu Wan, Andre Harrison +2

Aggregate outcome variables collected through surveys and administrative records are often subject to systematic measurement error. For instance, in disaster loss databases, county…

cs.CV2024

Data-Driven Hierarchical Open Set Recognition

Andrew Hannum, Max Conway, Mario Lopez +1

This paper presents a novel data-driven hierarchical approach to open set recognition (OSR) for robust perception in robotics and computer vision, utilizing constrained agglomerati…

cs.RO2024

M2P2: A Multi-Modal Passive Perception Dataset for Off-Road Mobility in Extreme Low-Light Conditions

Aniket Datar, Anuj Pokhrel, Mohammad Nazeri +8

Long-duration, off-road, autonomous missions require robots to continuously perceive their surroundings regardless of the ambient lighting conditions. Most existing autonomy system…

cs.CV2024

Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation

Laura Zheng, Wenjie Wei, Tony Wu +5

Achieving robustness in image segmentation models is challenging due to the fine-grained nature of pixel-level classification. These models, which are crucial for many real-time pe…

cs.CV2022★ 19 cited

A Multi-purpose Realistic Haze Benchmark with Quantifiable Haze Levels and Ground Truth

Priya Narayanan, Xin Hu, Zhenyu Wu +9

Imagery collected from outdoor visual environments is often degraded due to the presence of dense smoke or haze. A key challenge for research in scene understanding in these degrad…