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05/30/2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge
The open-ended Visual Question Answering (VQA) task requires AI models t...
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08/03/2022
Masked Vision and Language Modeling for Multi-modal Representation Learning
In this paper, we study how to use masked signal modeling in vision and ...
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06/23/2022
Patient Aware Active Learning for Fine-Grained OCT Classification
This paper considers making active learning more sensible from a medical...
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04/12/2022
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks
In this paper, we study the challenging instance-wise vision-language ta...
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03/08/2022
A Gating Model for Bias Calibration in Generalized Zero-shot Learning
Generalized zero-shot learning (GZSL) aims at training a model that can ...
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08/13/2020
Novelty Detection Through Model-Based Characterization of Neural Networks
In this paper, we propose a model-based characterization of neural netwo...
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08/01/2020
Contrastive Explanations in Neural Networks
Visual explanations are logical arguments based on visual features that ...
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07/18/2020
Backpropagated Gradient Representations for Anomaly Detection
Learning representations that clearly distinguish between normal and abn...
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08/27/2019
Distorted Representation Space Characterization Through Backpropagated Gradients
In this paper, we utilize weight gradients from backpropagation to chara...
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02/17/2019
Semantically Interpretable and Controllable Filter Sets
In this paper, we generate and control semantically interpretable filter...
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12/12/2018
Power of Tempospatially Unified Spectral Density for Perceptual Video Quality Assessment
We propose a perceptual video quality assessment (PVQA) metric for disto...
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12/07/2017