| Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy | Jun 19, 2021 | Image ReconstructionMotion Estimation | —Unverified | 0 |
| Robust Recovery of Adversarial Examples | Jun 18, 2021 | Deep LearningImage Reconstruction | —Unverified | 0 |
| Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images | Jun 18, 2021 | Contrastive LearningDemosaicking | —Unverified | 0 |
| Empirical robustification of pre-trained classifiers | Jun 18, 2021 | DenoisingImage Reconstruction | —Unverified | 0 |
| Over-and-Under Complete Convolutional RNN for MRI Reconstruction | Jun 16, 2021 | compressed sensingImage Reconstruction | —Unverified | 0 |
| A self-adapting super-resolution structures framework for automatic design of GAN | Jun 10, 2021 | Bayesian OptimizationGenerative Adversarial Network | —Unverified | 0 |
| Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN | Jun 10, 2021 | Image ReconstructionSSIM | —Unverified | 0 |
| Mitigating Current Variation in Particle Beam Microscopy | Jun 8, 2021 | Image Reconstruction | —Unverified | 0 |
| Efficient training for future video generation based on hierarchical disentangled representation of latent variables | Jun 7, 2021 | Future predictionImage Generation | —Unverified | 0 |
| End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks | Jun 6, 2021 | Image ReconstructionPolicy Gradient Methods | —Unverified | 0 |
