High-Order Attention Models for Visual Question Answering. - Idan Schwartz; Alexander G. Schwing; Tamir Hazan (NIPS, 2017)

A Simple Baseline for Audio-Visual Scene-Aware Dialog. - Idan Schwartz; Alexander G. Schwing; Tamir Hazan (CVPR, 2019)

Factor Graph Attention. - Idan Schwartz; Seunghak Yu; Tamir Hazan; Alexander G. Schwing (CVPR, 2019)

Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies. - Itai Gat; Idan Schwartz; Alexander G. Schwing; Tamir Hazan (NeurIPS, 2020)

Ensemble of MRR and NDCG models for Visual Dialog. - Idan Schwartz (NAACL-HLT, 2021)

Perceptual Score: What Data Modalities Does Your Model Perceive? - Itai Gat; Idan Schwartz; Alexander G. Schwing (NeurIPS, 2021)

Towards Coherent Visual Storytelling with Ordered Image Attention. - Tom Braude; Idan Schwartz; Alexander G. Schwing; Ariel Shamir (CoRR, 2021)

Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. - Yoad Tewel; Yoav Shalev; Idan Schwartz; Lior Wolf (CoRR, 2021)

Latent Space Explanation by Intervention. - Itai Gat; Guy Lorberbom; Idan Schwartz; Tamir Hazan (AAAI, 2022)

ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. - Yoad Tewel; Yoav Shalev; Idan Schwartz; Lior Wolf (CVPR, 2022)

Describing Sets of Images with Textual-PCA. - Oded Hupert; Idan Schwartz; Lior Wolf (EMNLP (Findings), 2022)

Ordered Attention for Coherent Visual Storytelling. - Tom Braude; Idan Schwartz; Alexander G. Schwing; Ariel Shamir (ACM Multimedia, 2022)

Optimizing Relevance Maps of Vision Transformers Improves Robustness. - Hila Chefer; Idan Schwartz; Lior Wolf (NeurIPS, 2022)

Video and Text Matching with Conditioned Embeddings. - Ameen Ali; Idan Schwartz; Tamir Hazan; Lior Wolf (WACV, 2022)

Zero-Shot Video Captioning with Evolving Pseudo-Tokens. - Yoad Tewel; Yoav Shalev; Roy Nadler; Idan Schwartz; Lior Wolf (CoRR, 2022)

Cognitive Models in Deep Learning. - Idan Schwartz (2022)

Zero-Shot Video Captioning by Evolving Pseudo-tokens. - Yoad Tewel; Yoav Shalev; Roy Nadler; Idan Schwartz; Lior Wolf (BMVC, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Hila Chefer; Serge J. Belongie; Lior Wolf; Sagie Benaim (ICCV, 2023)

Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. - Guy Yariv; Itai Gat; Lior Wolf; Yossi Adi; Idan Schwartz (INTERSPEECH, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Sagie Benaim; Hila Chefer; Ryan Cotterell; Lior Wolf; Serge J. Belongie (CoRR, 2023)

AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation. - Guy Yariv; Itai Gat; Lior Wolf; Yossi Adi; Idan Schwartz (CoRR, 2023)

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. - Guy Yariv; Itai Gat; Sagie Benaim; Lior Wolf; Idan Schwartz; Yossi Adi (AAAI, 2024)

Improving Visual Commonsense in Language Models via Multiple Image Generation. - Guy Yariv; Idan Schwartz; Yossi Adi; Sagie Benaim (CoRR, 2024)

Iterative Object Count Optimization for Text-to-image Diffusion Models. - Oz Zafar; Lior Wolf; Idan Schwartz (CoRR, 2024)

Single Image Iterative Subject-driven Generation and Editing. - Yair Shpitzer; Gal Chechik; Idan Schwartz (CoRR, 2025)