Sagie Benaim - RankMe

78 papers A* 15A 2B 2C 1Misc 1Journal 48Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes. CoRR Michael Baltaxe, Dan Levi, Sagie Benaim
2026	J	`jnl`	SemanticMoments: Training-Free Motion Similarity via Third Moment Features. CoRR Saar Huberman, Kfir Goldberg, Or Patashnik, Sagie Benaim, Ron Mokady
2026	J	`jnl`	Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation. CoRR David Shavin, Sagie Benaim
2025	J	`jnl`	Designing a Conditional Prior Distribution for Flow-Based Generative Models. CoRR Noam Issachar, Mohammad Salama, Raanan Fattal, Sagie Benaim
2025	J	`jnl`	Designing a Conditional Prior Distribution for Flow-Based Generative Models. Trans. Mach. Learn. Res. Noam Issachar, Mohammad Salama, Raanan Fattal, Sagie Benaim
2025	J	`jnl`	DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion. CoRR Noam Issachar, Guy Yariv, Sagie Benaim, Yossi Adi, Dani Lischinski, Raanan Fattal
2025	A*	`conf`	Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes. SIGGRAPH Asia Shai Krakovsky, Gal Fiebelman, Sagie Benaim, Hadar Averbuch-Elor
2025	J	`jnl`	Lang3D-XL: Language Embedded 3D Gaussians for Large-scale Scenes. CoRR Shai Krakovsky, Gal Fiebelman, Sagie Benaim, Hadar Averbuch-Elor
2025	J	`jnl`	Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects. CoRR Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim
2025	J	`jnl`	MV-RAG: Retrieval Augmented Multiview Diffusion. CoRR Yosef Dayani, Omer Benishu, Sagie Benaim
2025	J	`jnl`	RewardSDS: Aligning Score Distillation via Reward-Weighted Sampling. CoRR Itay Chachy, Guy Yariv, Sagie Benaim
2025	J	`jnl`	Structurally Disentangled Feature Fields Distillation for 3D Understanding and Editing. CoRR Yoel Levy, David Shavin, Itai Lang, Sagie Benaim
2025	A*	`conf`	Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. CVPR Guy Yariv, Yuval Kirstain, Amit Zohar, Shelly Sheynin, Yaniv Taigman, Yossi Adi, Sagie Benaim, Adam Polyak
2025	J	`jnl`	Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation. CoRR Guy Yariv, Yuval Kirstain, Amit Zohar, Shelly Sheynin, Yaniv Taigman, Yossi Adi, Sagie Benaim, Adam Polyak
2024	A	`conf`	Assessing Neural Network Robustness via Adversarial Pivotal Tuning. WACV Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim
2024	A*	`conf`	Coarse-To-Fine Tensor Trains for Compact Visual Representations. ICML Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim
2024	J	`jnl`	Coarse-To-Fine Tensor Trains for Compact Visual Representations. CoRR Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen, Serge J. Belongie, Michael J. Kastoryano, Sagie Benaim
2024	—	`conf`	DGD: Dynamic 3D Gaussians Distillation. ECCV (68) Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim
2024	J	`jnl`	DGD: Dynamic 3D Gaussians Distillation. CoRR Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim
2024	A*	`conf`	Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. AAAI Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi
2024	J	`jnl`	Generating Intermediate Representations for Compositional Text-To-Image Generation. CoRR Ran Galun, Sagie Benaim
2024	J	`jnl`	Improving Visual Commonsense in Language Models via Multiple Image Generation. CoRR Guy Yariv, Idan Schwartz, Yossi Adi, Sagie Benaim
2024	A	`conf`	Volumetric Disentanglement for 3D Scene Manipulation. WACV Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
2023	C	`conf`	Cross-Domain Relation Adaptation. ACML Ido Kessler, Omri Lifshitz, Sagie Benaim, Lior Wolf
2023	A*	`conf`	Discriminative Class Tokens for Text-to-Image Diffusion Models. ICCV Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim
2023	J	`jnl`	Discriminative Class Tokens for Text-to-Image Diffusion Models. CoRR Idan Schwartz, Vésteinn Snæbjarnarson, Sagie Benaim, Hila Chefer, Ryan Cotterell, Lior Wolf, Serge J. Belongie
2023	J	`jnl`	Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation. CoRR Guy Yariv, Itai Gat, Sagie Benaim, Lior Wolf, Idan Schwartz, Yossi Adi
2023	J	`jnl`	Polynomial Neural Fields for Subband Decomposition and Manipulation. CoRR Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
2023	A*	`conf`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	J	`jnl`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2022	J	`jnl`	Assessing Neural Network Robustness via Adversarial Pivotal Tuning. CoRR Peter Ebert Christensen, Vésteinn Snæbjarnarson, Andrea Dittadi, Serge J. Belongie, Sagie Benaim
2022	B	`conf`	FewGAN: Generating from the Joint Distribution of a Few Images. ICIP Lior Ben-Moshe, Sagie Benaim, Lior Wolf
2022	J	`jnl`	FewGAN: Generating from the Joint Distribution of a Few Images. CoRR Lior Ben-Moshe, Sagie Benaim, Lior Wolf
2022	—	`conf`	Image-Based CLIP-Guided Essence Transfer. ECCV (13) Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
2022	J	`jnl`	JOKR: Joint Keypoint Representation for Unsupervised Video Retargeting. Comput. Graph. Forum Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or
2022	J	`jnl`	On Disentangled and Locally Fair Representations. CoRR Yaron Gurovich, Sagie Benaim, Lior Wolf
2022	A*	`conf`	Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
2022	—	`conf`	Text-Driven Stylization of Video Objects. ECCV Workshops (4) Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim
2022	J	`jnl`	Text-Driven Stylization of Video Objects. CoRR Sebastian Loeschcke, Serge J. Belongie, Sagie Benaim
2022	A*	`conf`	Text2Mesh: Text-Driven Neural Stylization for Meshes. CVPR Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
2022	J	`jnl`	Volumetric Disentanglement for 3D Scene Manipulation. CoRR Sagie Benaim, Frederik Warburg, Peter Ebert Christensen, Serge J. Belongie
2021	A*	`conf`	A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. ICCV Shelly Sheynin, Sagie Benaim, Lior Wolf
2021	J	`jnl`	A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. CoRR Shelly Sheynin, Sagie Benaim, Lior Wolf
2021	J	`jnl`	Evaluation Metrics for Conditional Image Generation. Int. J. Comput. Vis. Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf
2021	B	`conf`	Identity and Attribute Preserving Thumbnail Upscaling. ICIP Noam Gat, Sagie Benaim, Lior Wolf
2021	J	`jnl`	Identity and Attribute Preserving Thumbnail Upscaling. CoRR Noam Gat, Sagie Benaim, Lior Wolf
2021	J	`jnl`	Image-Based CLIP-Guided Essence Transfer. CoRR Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf
2021	J	`jnl`	JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion Retargeting. CoRR Ron Mokady, Rotem Tzaban, Sagie Benaim, Amit H. Bermano, Daniel Cohen-Or
2021	J	`jnl`	Locally Shifted Attention With Early Global Integration. CoRR Shelly Sheynin, Sagie Benaim, Adam Polyak, Lior Wolf
2021	—	`—`	New Problems and Methods in Unsupervised Machine Learning Sagie Benaim
2021	A*	`conf`	Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. CVPR Oren Nuriel, Sagie Benaim, Lior Wolf
2021	J	`jnl`	Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs. J. Mach. Learn. Res. Tomer Galanti, Sagie Benaim, Lior Wolf
2021	J	`jnl`	Text2Mesh: Text-Driven Neural Stylization for Meshes. CoRR Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka
2020	J	`jnl`	Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. CoRR Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
2020	J	`jnl`	Evaluation Metrics for Conditional Image Generation. CoRR Yaniv Benny, Tomer Galanti, Sagie Benaim, Lior Wolf
2020	A*	`conf`	Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. NeurIPS Shir Gur, Sagie Benaim, Lior Wolf
2020	J	`jnl`	Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. CoRR Shir Gur, Sagie Benaim, Lior Wolf
2020	A*	`conf`	Masked Based Unsupervised Content Transfer. ICLR Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano
2020	J	`jnl`	Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers. CoRR Oren Nuriel, Sagie Benaim, Lior Wolf
2020	A*	`conf`	SpeedNet: Learning the Speediness in Videos. CVPR Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
2020	J	`jnl`	SpeedNet: Learning the Speediness in Videos. CoRR Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel
2020	J	`jnl`	Structural-analogy from a Single Image Pair. CoRR Sagie Benaim, Ron Mokady, Amit Bermano, Daniel Cohen-Or, Lior Wolf
2020	J	`jnl`	Unsupervised Learning of the Set of Local Maxima. CoRR Lior Wolf, Sagie Benaim, Tomer Galanti
2019	A*	`conf`	Domain Intersection and Domain Difference. ICCV Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
2019	J	`jnl`	Domain Intersection and Domain Difference. CoRR Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf
2019	—	`conf`	Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer. ICLR (Poster) Ori Press, Tomer Galanti, Sagie Benaim, Lior Wolf
2019	J	`jnl`	Mask Based Unsupervised Content Transfer. CoRR Ron Mokady, Sagie Benaim, Lior Wolf, Amit Bermano
2019	Misc	`conf`	Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures. ICASSP Michael Michelashvili, Sagie Benaim, Lior Wolf
2019	—	`conf`	Unsupervised Learning of the Set of Local Maxima. ICLR (Poster) Lior Wolf, Sagie Benaim, Tomer Galanti
2018	—	`conf`	Estimating the Success of Unsupervised Image to Image Translation. ECCV (5) Sagie Benaim, Tomer Galanti, Lior Wolf
2018	J	`jnl`	Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs. CoRR Tomer Galanti, Sagie Benaim, Lior Wolf
2018	A*	`conf`	One-Shot Unsupervised Cross Domain Translation. NeurIPS Sagie Benaim, Lior Wolf
2018	J	`jnl`	One-Shot Unsupervised Cross Domain Translation. CoRR Sagie Benaim, Lior Wolf
2018	J	`jnl`	Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures. CoRR Michael Michelashvili, Sagie Benaim, Lior Wolf
2018	—	`conf`	The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings. ICLR (Poster) Tomer Galanti, Lior Wolf, Sagie Benaim
2017	J	`jnl`	Maximally Distant Cross Domain Generators for Estimating Per-Sample Error. CoRR Sagie Benaim, Tomer Galanti, Lior Wolf
2017	—	`conf`	One-Sided Unsupervised Domain Mapping. NIPS Sagie Benaim, Lior Wolf
2017	J	`jnl`	One-Sided Unsupervised Domain Mapping. CoRR Sagie Benaim, Lior Wolf