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11/04/2022
Logits are predictive of network type
We show that it is possible to predict which deep network has generated ...
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10/02/2022
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2
The field of image synthesis has made great strides in the last couple o...
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06/23/2022
Complementary datasets to COCO for object detection
For nearly a decade, the COCO dataset has been the central test bed of r...
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03/17/2021
Pros and Cons of GAN Evaluation Measures: New Developments
This work is an update of a previous paper on the same topic published a...
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04/26/2020
Harnessing adversarial examples with a surprisingly simple defense
I introduce a very simple method to defend against adversarial examples....
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05/25/2019
DAVE: A Deep Audio-Visual Embedding for Dynamic Saliency Prediction
This paper presents a conceptually simple and effective Deep Audio-Visua...
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05/16/2019
GazeGAN: A Generative Adversarial Saliency Model based on Invariance Analysis of Human Gaze During Scene Free Viewing
Data size is the bottleneck for developing deep saliency models, because...
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12/01/2018
Multi-View Egocentric Video Summarization
With vast amounts of video content being uploaded to the Internet every ...
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02/09/2018
Pros and Cons of GAN Evaluation Measures
Generative models, in particular generative adverserial networks (GANs),...
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05/19/2017
