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07/19/2022
Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation
The semantic segmentation task aims at dense classification at the pixel...
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05/31/2022
A deep learning approach to halo merger tree construction
A key ingredient for semi-analytic models (SAMs) of galaxy formation is ...
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12/31/2021
Representation Learning via Consistent Assignment of Views to Clusters
We introduce Consistent Assignment for Representation Learning (CARL), a...
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05/28/2021
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
The semantic segmentation (SS) task aims to create a dense classificatio...
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04/02/2021
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study
Deep learning models need large amounts of data for training. In video r...
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03/05/2021
Hierarchical Transformer for Multilingual Machine Translation
The choice of parameter sharing strategy in multilingual machine transla...
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01/30/2021
Video Reenactment as Inductive Bias for Content-Motion Disentanglement
We introduce a self-supervised motion-transfer VAE model to disentangle ...
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10/10/2020
Anomaly Detection based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation
Anomaly detection suffers from unbalanced data since anomalies are quite...
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06/22/2019
A Halo Merger Tree Generation and Evaluation Framework
Semi-analytic models are best suited to compare galaxy formation and evo...
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05/29/2019
Graph Learning Network: A Structure Learning Algorithm
Recently, graph neural networks (GNNs) has proved to be suitable in task...
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03/31/2019
