Similarity Scores Based on Background Samples. - Lior Wolf; Tal Hassner; Yaniv Taigman (ACCV (2), 2009)

Multiple One-Shots for Utilizing Class Label Information. - Yaniv Taigman; Lior Wolf; Tal Hassner (BMVC, 2009)

The One-Shot similarity kernel. - Lior Wolf; Tal Hassner; Yaniv Taigman (ICCV, 2009)

Leveraging Billions of Faces to Overcome Performance Barriers in Unconstrained Face Recognition - Yaniv Taigman; Lior Wolf (CoRR, 2011)

Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics. - Lior Wolf; Tal Hassner; Yaniv Taigman (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

DeepFace: Closing the Gap to Human-Level Performance in Face Verification. - Yaniv Taigman; Ming Yang 007; Marc'Aurelio Ranzato; Lior Wolf (CVPR, 2014)

Multi-GPU Training of ConvNets. - Omry Yadan; Keith Adams; Yaniv Taigman; Marc'Aurelio Ranzato (ICLR (Workshop Poster), 2014)

Web-scale training for face identification. - Yaniv Taigman; Ming Yang 007; Marc'Aurelio Ranzato; Lior Wolf (CVPR, 2015)

Beyond frontal faces: Improving Person Recognition using multiple cues. - Ning Zhang 014; Manohar Paluri; Yaniv Taigman; Rob Fergus; Lubomir D. Bourdev (CVPR, 2015)

Unsupervised Creation of Parameterized Avatars. - Lior Wolf; Yaniv Taigman; Adam Polyak (ICCV, 2017)

Unsupervised Cross-Domain Image Generation. - Yaniv Taigman; Adam Polyak; Lior Wolf (ICLR (Poster), 2017)

Voice Synthesis for in-the-Wild Speakers via a Phonological Loop. - Yaniv Taigman; Lior Wolf; Adam Polyak; Eliya Nachmani (CoRR, 2017)

VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. - Yaniv Taigman; Lior Wolf; Adam Polyak; Eliya Nachmani (ICLR (Poster), 2018)

Fitting New Speakers Based on a Short Untranscribed Sample. - Eliya Nachmani; Adam Polyak; Yaniv Taigman; Lior Wolf (ICML, 2018)

Visual Analogies between Atari Games for Studying Transfer Learning in RL. - Doron Sobol; Lior Wolf; Yaniv Taigman (CoRR, 2018)

Live Face De-Identification in Video. - Oran Gafni; Lior Wolf; Yaniv Taigman (ICCV, 2019)

A Universal Music Translation Network. - Noam Mor; Lior Wolf; Adam Polyak; Yaniv Taigman (ICLR (Poster), 2019)

Vid2Game: Controllable Characters Extracted from Real-World Videos. - Oran Gafni; Lior Wolf; Yaniv Taigman (ICLR, 2020)

Unsupervised Cross-Domain Singing Voice Conversion. - Adam Polyak; Lior Wolf; Yossi Adi; Yaniv Taigman (INTERSPEECH, 2020)

TTS Skins: Speaker Conversion via ASR. - Adam Polyak; Lior Wolf; Yaniv Taigman (INTERSPEECH, 2020)

Unsupervised Generation of Free-Form and Parameterized Avatars. - Adam Polyak; Yaniv Taigman; Lior Wolf (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

High Fidelity Speech Regeneration with Application to Speech Enhancement. - Adam Polyak; Lior Wolf; Yossi Adi; Ori Kabeli; Yaniv Taigman (ICASSP, 2021)

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors. - Oran Gafni; Adam Polyak; Oron Ashual; Shelly Sheynin; Devi Parikh; Yaniv Taigman (ECCV (15), 2022)

Multilingual Text-To-Speech Training Using Cross Language Voice Conversion And Self-Supervised Learning Of Speech Representations. - Jilong Wu; Adam Polyak; Yaniv Taigman; Jason Fong; Prabhav Agrawal; Qing He (ICASSP, 2022)

Audio Language Modeling using Perceptually-Guided Discrete Representations. - Felix Kreuk; Yaniv Taigman; Adam Polyak; Jade Copet; Gabriel Synnaeve; Alexandre Défossez; Yossi Adi (CoRR, 2022)

SpaText: Spatio-Textual Representation for Controllable Image Generation. - Omri Avrahami; Thomas Hayes; Oran Gafni; Sonal Gupta; Yaniv Taigman; Devi Parikh; Dani Lischinski; Ohad Fried; Xi Yin 001 (CVPR, 2023)

AudioGen: Textually Guided Audio Generation. - Felix Kreuk; Gabriel Synnaeve; Adam Polyak; Uriel Singer; Alexandre Défossez; Jade Copet; Devi Parikh; Yaniv Taigman; Yossi Adi (ICLR, 2023)

kNN-Diffusion: Image Generation via Large-Scale Retrieval. - Shelly Sheynin; Oron Ashual; Adam Polyak; Uriel Singer; Oran Gafni; Eliya Nachmani; Yaniv Taigman (ICLR, 2023)

Make-A-Video: Text-to-Video Generation without Text-Video Data. - Uriel Singer; Adam Polyak; Thomas Hayes; Xi Yin 001; Jie An 002; Songyang Zhang; Qiyuan Hu; Harry Yang; Oron Ashual; Oran Gafni; Devi Parikh; Sonal Gupta; et al. (ICLR, 2023)

Text-To-4D Dynamic Scene Generation. - Uriel Singer; Shelly Sheynin; Adam Polyak; Oron Ashual; Iurii Makarov; Filippos Kokkinos; Naman Goyal 001; Andrea Vedaldi; Devi Parikh; Justin Johnson 001; Yaniv Taigman (ICML, 2023)

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. - Lili Yu; Bowen Shi; Ramakanth Pasunuru; Benjamin Muller; Olga Golovneva; Tianlu Wang; Arun Babu; Binh Tang; Brian Karrer; Shelly Sheynin; Candace Ross; Adam Polyak; et al. (CoRR, 2023)

Emu Edit: Precise Image Editing via Recognition and Generation Tasks. - Shelly Sheynin; Adam Polyak; Uriel Singer; Yuval Kirstain; Amit Zohar; Oron Ashual; Devi Parikh; Yaniv Taigman (CVPR, 2024)

Video Editing via Factorized Diffusion Distillation. - Uriel Singer; Amit Zohar; Yuval Kirstain; Shelly Sheynin; Adam Polyak; Devi Parikh; Yaniv Taigman (ECCV (76), 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. - Guy Yariv; Yuval Kirstain; Amit Zohar; Shelly Sheynin; Yaniv Taigman; Yossi Adi; Sagie Benaim; Adam Polyak (CVPR, 2025)

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models. - Hila Chefer; Uriel Singer; Amit Zohar; Yuval Kirstain; Adam Polyak; Yaniv Taigman; Lior Wolf; Shelly Sheynin (CoRR, 2025)