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11/25/2021
A Novel Framework for Image-to-image Translation and Image Compression
Data-driven paradigms using machine learning are becoming ubiquitous in ...
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08/19/2021
3D Shapes Local Geometry Codes Learning with SDF
A signed distance function (SDF) as the 3D shape description is one of t...
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03/29/2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression
Neural image compression leverages deep neural networks to outperform tr...
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04/01/2020
Semantic Drift Compensation for Class-Incremental Learning
Class-incremental learning of deep networks sequentially increases the n...
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04/07/2019
Learning Metrics from Teachers: Compact Networks for Image Embedding
Metric learning networks are used to compute image embeddings, which are...
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05/11/2018