Alireza Zareian

According to our database1, Alireza Zareian authored at least 19 papers between 2014 and 2023.

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Bibliography

2023
Learning from Children: Improving Image-Caption Pretraining via Curriculum.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
GOCA: Guided Online Cluster Assignment for Self-supervised Video Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Open-Vocabulary Object Detection Using Captions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions.
CoRR, 2020

Analogical Reasoning for Visually Grounded Language Acquisition.
CoRR, 2020

Learning Visual Commonsense for Robust Scene Graph Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Bridging Knowledge Graphs to Generate Scene Graphs.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly Supervised Visual Semantic Parsing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Cross-media Structured Common Space for Multimedia Event Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

GAIA: A Fine-grained Multimedia Knowledge Extraction System.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

General Partial Label Learning via Dual Bipartite Graph Autoencoder.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation.
CoRR, 2019


2018

Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2014
Reconstruction of Sub-Nyquist Random Sampling for Sparse and Multi-Band Signals.
CoRR, 2014


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