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Lucas Relic
Lucas Relic
PhD Student at ETH Zurich
Email verificata su inf.ethz.ch
Titolo
Citata da
Citata da
Anno
Hybrid neural autoencoders for stimulus encoding in visual and other sensory neuroprostheses
J Granley, L Relic, M Beyeler
Advances in Neural Information Processing Systems 35, 22671-22685, 2022
29*2022
Deep learning–based perceptual stimulus encoder for bionic vision
L Relic, B Zhang, YL Tuan, M Beyeler
Proceedings of the Augmented Humans International Conference 2022, 323-325, 2022
222022
Neural video compression with spatio-temporal cross-covariance transformers
Z Chen, L Relic, R Azevedo, Y Zhang, M Gross, D Xu, L Zhou, C Schroers
Proceedings of the 31st ACM International Conference on Multimedia, 8543-8551, 2023
112023
Lossy image compression with foundation diffusion models
L Relic, R Azevedo, M Gross, C Schroers
European Conference on Computer Vision, 303-319, 2024
62024
Bridging the Gap between Diffusion Models and Universal Quantization for Image Compression
L Relic, R Azevedo, Y Zhang, M Gross, C Schroers
Machine Learning and Compression Workshop@ NeurIPS 2024, 2024
2024
Contextual video compression framework with spatial-temporal cross-covariance transformers
C Zhenghao, RGDA Azevedo, CR Schroers, Y Zhang, L Relic
US Patent App. 18/349,076, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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