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Found 6 papers, 4 papers with code
Self-supervised Motion Representation via Scattering Local Motion Cues
Motion representation is key to many computer vision problems but has never been well studied in the literature.
Self-Conditioned Probabilistic Learning of Video Rescaling
After optimization, the downscaled video by our framework preserves more meaningful information, which is beneficial for both the upscaling step and the downstream tasks, e. g., video action recognition task.
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Deep neural networks are vulnerable to adversarial attacks.
How is Gaze Influenced by Image Transformations? Dataset and Model
Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time consuming and expensive.
Adversarial Attacks against Deep Saliency Models
The proposed attack only requires a part of the model information, and is able to generate a sparser and more insidious adversarial perturbation, compared to traditional image-space attacks.
Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing
Most of current studies on human gaze and saliency modeling have used high-quality stimuli.
