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Stanford University
- cs.stanford.edu/~keshik/
- @keshigeyan
Highlights
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sutd-visual-computing-group/transferable-forensic-features
sutd-visual-computing-group/transferable-forensic-features Public[ECCV 2022: Oral] In this work, we discover that color is a crtical transferable forensic feature (T-FF) in universal detectors for detecting CNN-generated images.
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sutd-visual-computing-group/Fourier-Discrepancies-CNN-Detection
sutd-visual-computing-group/Fourier-Discrepancies-CNN-Detection Public[CVPR 2021: Oral] In this work, we show that high frequency Fourier spectrum decay discrepancies are not inherent characteristics for existing CNN-based generative models.
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sutd-visual-computing-group/LS-KD-compatibility
sutd-visual-computing-group/LS-KD-compatibility Public[ICML 2022] This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). We suggest to use an LS-trained teacher with a low-temperature transfer to render …
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deep-image-retrieval
deep-image-retrieval Public archiveEnd-to-end Learning of Deep Visual Representations for Image Retrieval.
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pascal-voc-classification
pascal-voc-classification Public archivePASCAL VOC Object Classification: The goal of this project is to recognize objects from a number of visual object classes in realistic scenes.
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sutd-visual-computing-group/awesome-generative-modeling-under-data-constraints
sutd-visual-computing-group/awesome-generative-modeling-under-data-constraints PublicA Comprehensive List of Works for Generative Modeling with Limited Data, Few Shots, and Zero Shot
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