7 citations · 7 across the 3 of their papers we have counts for
4 papers
Probing the Purview of Neural Networks via Gradient Analysis
Jinsol Lee, Charlie Lehman, Mohit Prabhushankar +1
We analyze the data-dependent capacity of neural networks and assess anomalies in inputs from the perspective of networks during inference. The notion of data-dependent capacity al…
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
Charles Lehman, Dogancan Temel, Ghassan AlRegib
Semantic segmentation is a scene understanding task at the heart of safety-critical applications where robustness to corrupted inputs is essential. Implicit Background Estimation (…
Robustness and Overfitting Behavior of Implicit Background Models
Shirley Liu, Charles Lehman, Ghassan AlRegib
In this paper, we examine the overfitting behavior of image classification models modified with Implicit Background Estimation (SCrIBE), which transforms them into weakly supervise…
Implicit Background Estimation for Semantic Segmentation
Charles Lehman, Dogancan Temel, Ghassan AlRegib
Scene understanding and semantic segmentation are at the core of many computer vision tasks, many of which, involve interacting with humans in potentially dangerous ways. It is the…