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Abhijay Ghildyal, Feng Liu Transactions on Machine Learning Research (TMLR), 2023 Featured Certification (Spotlight 🌟 or top ~0.01% of the accepted papers) arXiv  /  code  /  OpenReview  /  bibtex In this study, we systematically examine the robustness of both traditional and learned perceptual similarity metrics to imperceptible adversarial perturbations. |
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Qiqi Hou, Abhijay Ghildyal, Feng Liu European Conference on Computer Vision (ECCV), 2022 arXiv  /  video  /  code  /  bibtex We developed a perceptual quality metric for measuring video frame interpolation results. Our method learns perceptual features directly from videos instead of individual frames. |
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Abhijay Ghildyal, Feng Liu European Conference on Computer Vision (ECCV), 2022 arXiv  /  code  /  video  /  IQA-PyTorch  /   /  bibtex We investigated a broad range of neural network elements and developed a robust perceptual similarity metric. Our shift-tolerant perceptual similarity metric (ST-LPIPS) is consistent with human perception and is less susceptible to imperceptible misalignments between two images than existing metrics. |
Design and source code from Jon Barron's website. |