Alireza Zareian | DeepAI

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∙ 12/16/2021

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning

Answering complex questions about images is an ambitious goal for machin...

4 Zhecan Wang, et al. ∙

∙ 11/20/2020

Open-Vocabulary Object Detection Using Captions

Despite the remarkable accuracy of deep neural networks in object detect...

8 Alireza Zareian, et al. ∙

∙ 10/24/2020

Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions

Pre-trained contextual vision-and-language (V L) models have brought i...

0 Liunian Harold Li, et al. ∙

∙ 06/17/2020

Learning Visual Commonsense for Robust Scene Graph Generation

Scene graph generation models understand the scene through object and pr...

0 Alireza Zareian, et al. ∙

∙ 05/05/2020

Cross-media Structured Common Space for Multimedia Event Extraction

We introduce a new task, MultiMedia Event Extraction (M2E2), which aims ...

0 Manling Li, et al. ∙

∙ 01/08/2020

Weakly Supervised Visual Semantic Parsing

Scene Graph Generation (SGG) aims to extract entities, predicates and th...

0 Alireza Zareian, et al. ∙

∙ 01/07/2020

Bridging Knowledge Graphs to Generate Scene Graphs

Scene graphs are powerful representations that encode images into their ...

0 Alireza Zareian, et al. ∙

∙ 01/05/2020

General Partial Label Learning via Dual Bipartite Graph Autoencoder

We formulate a practical yet challenging problem: General Partial Label ...

11 Brian Chen, et al. ∙

∙ 05/23/2019

CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

Many real-world applications involve multivariate, geo-tagged time serie...

0 Jiawei Ma, et al. ∙

∙ 10/27/2018

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks

Deep neural networks suffer from over-fitting and catastrophic forgettin...

0 Hang Gao, et al. ∙

∙ 03/04/2017

CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos

Temporal action localization is an important yet challenging problem. Gi...

0 Zheng Shou, et al. ∙