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07/11/2023
TIAM – A Metric for Evaluating Alignment in Text-to-Image Generation
The progress in the generation of synthetic images has made it crucial t...
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10/15/2022
Self-Improving SLAM in Dynamic Environments: Learning When to Mask
Visual SLAM – Simultaneous Localization and Mapping – in dynamic environ...
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01/05/2022
Learning Semantic Ambiguities for Zero-Shot Learning
Zero-shot learning (ZSL) aims at recognizing classes for which no visual...
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10/28/2021
Multi-Attribute Balanced Sampling for Disentangled GAN Controls
Various controls over the generated data can be extracted from the laten...
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04/07/2021
Multimodal Entity Linking for Tweets
In many information extraction applications, entity linking (EL) has eme...
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02/05/2021
Zero-shot Learning with Deep Neural Networks for Object Recognition
Zero-shot learning deals with the ability to recognize objects without a...
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12/21/2020
AVAE: Adversarial Variational Auto Encoder
Among the wide variety of image generative models, two models stand out:...
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11/12/2020
Learning to Segment Dynamic Objects using SLAM Outliers
We present a method to automatically learn to segment dynamic objects us...
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10/06/2020
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning
Zero-shot learning aims to recognize instances of unseen classes, for wh...
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08/06/2020
Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning
Zero-shot learning (ZSL) makes object recognition in images possible in ...
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01/28/2020
Controlling generative models with continuous factors of variations
Recent deep generative models are able to provide photo-realistic images...
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10/04/2018
Learning Finer-class Networks for Universal Representations
Many real-world visual recognition use-cases can not directly benefit fr...
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09/26/2018
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process
Zero-shot learning (ZSL) is concerned with the recognition of previously...
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12/27/2017
Learning More Universal Representations for Transfer-Learning
Transfer learning is commonly used to address the problem of the prohibi...
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12/15/2015
On Deep Representation Learning from Noisy Web Images
The keep-growing content of Web images may be the next important data so...
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12/07/2015