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Found 4 papers, 2 papers with code
Learning Consistent Deep Generative Models from Sparsely Labeled Data
We consider training deep generative models toward two simultaneous goals: discriminative classification and generative modeling using an explicit likelihood.
A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data
In this paper, we study an approach to multimodal person verification using audio, visual, and thermal modalities.
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints
We develop a new framework for learning variational autoencoders and other deep generative models that balances generative and discriminative goals.
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; examples include human-computer interaction, biometric authentication, recognition systems, domain transfer, and speech recognition.
