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Idan Schwartz
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2020 – today
- 2024
- [c16]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI 2024: 6639-6647 - [i18]Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim:
Improving Visual Commonsense in Language Models via Multiple Image Generation. CoRR abs/2406.13621 (2024) - [i17]Oz Zafar, Lior Wolf, Idan Schwartz:
Iterative Object Count Optimization for Text-to-image Diffusion Models. CoRR abs/2408.11721 (2024) - 2023
- [c15]Yoad Tewel, Yoav Shalev, Roy Nadler, Idan Schwartz, Lior Wolf:
Zero-Shot Video Captioning by Evolving Pseudo-tokens. BMVC 2023: 429-432 - [c14]Idan Schwartz, Vésteinn Snæbjarnarson
, Hila Chefer, Serge J. Belongie
Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV 2023: 22668-22678 - [c13]Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz:
Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. INTERSPEECH 2023: 5446-5450 - [i16]Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie:
Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR abs/2303.17155 (2023) - [i15]Guy Yariv, Itai Gat, Lior Wolf, Yossi Adi, Idan Schwartz:
AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. CoRR abs/2305.13050 (2023) - [i14]Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi:
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. CoRR abs/2309.16429 (2023) - 2022
- [b1]Idan Schwartz:
Cognitive Models in Deep Learning. Technion - Israel Institute of Technology, Israel, 2022 - [c12]Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. AAAI 2022: 679-687 - [c11]Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf:
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. CVPR 2022: 17897-17907 - [c10]Oded Hupert, Idan Schwartz, Lior Wolf:
Describing Sets of Images with Textual-PCA. EMNLP (Findings) 2022: 3811-3821 - [c9]Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir:
Ordered Attention for Coherent Visual Storytelling. ACM Multimedia 2022: 3310-3318 - [c8]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. NeurIPS 2022 - [c7]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. WACV 2022: 478-487 - [i13]Hila Chefer, Idan Schwartz, Lior Wolf:
Optimizing Relevance Maps of Vision Transformers Improves Robustness. CoRR abs/2206.01161 (2022) - [i12]Yoad Tewel, Yoav Shalev, Roy Nadler, Idan Schwartz, Lior Wolf:
Zero-Shot Video Captioning with Evolving Pseudo-Tokens. CoRR abs/2207.11100 (2022) - [i11]Oded Hupert, Idan Schwartz, Lior Wolf:
Describing Sets of Images with Textual-PCA. CoRR abs/2210.12112 (2022) - 2021
- [c6]Idan Schwartz:
Ensemble of MRR and NDCG models for Visual Dialog. NAACL-HLT 2021: 3272-3363 - [c5]Itai Gat, Idan Schwartz, Alexander G. Schwing:
Perceptual Score: What Data Modalities Does Your Model Perceive? NeurIPS 2021: 21630-21643 - [i10]Idan Schwartz:
Ensemble of MRR and NDCG models for Visual Dialog. CoRR abs/2104.07511 (2021) - [i9]Tom Braude, Idan Schwartz, Alexander G. Schwing, Ariel Shamir:
Towards Coherent Visual Storytelling with Ordered Image Attention. CoRR abs/2108.02180 (2021) - [i8]Ameen Ali, Idan Schwartz, Tamir Hazan, Lior Wolf:
Video and Text Matching with Conditioned Embeddings. CoRR abs/2110.11298 (2021) - [i7]Itai Gat, Idan Schwartz, Alexander G. Schwing:
Perceptual Score: What Data Modalities Does Your Model Perceive? CoRR abs/2110.14375 (2021) - [i6]Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf:
Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. CoRR abs/2111.14447 (2021) - [i5]Itai Gat, Guy Lorberbom, Idan Schwartz, Tamir Hazan:
Latent Space Explanation by Intervention. CoRR abs/2112.04895 (2021) - 2020
- [c4]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. NeurIPS 2020 - [i4]Itai Gat, Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. CoRR abs/2010.10802 (2020)
2010 – 2019
- 2019
- [c3]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CVPR 2019: 2039-2048 - [c2]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CVPR 2019: 12548-12558 - [i3]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
A Simple Baseline for Audio-Visual Scene-Aware Dialog. CoRR abs/1904.05876 (2019) - [i2]Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing:
Factor Graph Attention. CoRR abs/1904.05880 (2019) - 2017
- [c1]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. NIPS 2017: 3664-3674 - [i1]Idan Schwartz, Alexander G. Schwing, Tamir Hazan:
High-Order Attention Models for Visual Question Answering. CoRR abs/1711.04323 (2017)
Coauthor Index
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last updated on 2024-09-28 02:22 CEST by the dblp team
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