27 citations · 30 across the 8 of their papers we have counts for
4 papers · 1 filter
Evaluating Contextual Bias in CNN Image Classification: Evidence from Agricultural Benchmark Datasets
Abhilekha Dalal, Michael Okonoda, Eder Martinez +1
Convolutional neural networks (CNNs) are typically evaluated using held-out classification accuracy, an approach that presupposes predictions are based primarily on the intended ob…
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
Sai Teja Erukude, Lior Shamir
While Digital sky surveys provide excellent throughput of image data and can cover a large footprint, their imaging power is normally inferior to that of space-based telescopes. Sp…
GRAZE: Grounded Refinement and Motion-Aware Zero-Shot Event Localization
Syed Ahsan Masud Zaidi, Lior Shamir, William Hsu +2
American football practice generates video at scale, yet the interaction of interest occupies only a brief window of each long, untrimmed clip. Reliable biomechanical analysis, the…
Unmasking Biases and Reliability Concerns in Convolutional Neural Networks Analysis of Cancer Pathology Images
Michael Okonoda, Eder Martinez, Abhilekha Dalal +1
Convolutional Neural Networks have shown promising effectiveness in identifying different types of cancer from radiographs. However, the opaque nature of CNNs makes it difficult to…