Hila Chefer

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All published works

Action	Title	Year	Authors
+	Lumiere: A Space-Time Diffusion Model for Video Generation	2024	Omer Bar-Tal Hila Chefer Omer Tov Charles Herrmann Roni Paiss Shiran Zada Ariel Ephrat Junhwa Hur Guanghui Liu A. Stephan Antony Raj
+ PDF Chat	Still-Moving: Customized Video Generation without Customized Video Data	2024	Hila Chefer Shiran Zada Roni Paiss Ariel Ephrat Omer Tov Michael Rubinstein Lior Wolf Tali Dekel Tomer Michaeli Inbar Mosseri
+ PDF Chat	Still-Moving: Customized Video Generation without Customized Video Data	2024	Hila Chefer Shiran Zada Roni Paiss Ariel Ephrat Omer Tov Michael Rubinstein Wolf Lior Tali Dekel Tomer Michaeli Inbar Mosseri
+	Lumiere: A Space-Time Diffusion Model for Video Generation	2024	Omer Bar-Tal Hila Chefer Omer Tov Charles Herrmann Roni Paiss Shiran Zada Ariel Ephrat Junhwa Hur Yuanzhen Li Tomer Michaeli
+ PDF Chat	Discriminative Class Tokens for Text-to-Image Diffusion Models	2023	Idan Schwartz Vésteinn Snæbjarnarson Hila Chefer Serge Belongie Lior Wolf Sagie Benaim
+ PDF Chat	Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models	2023	Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen‐Or
+	Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models	2023	Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen‐Or
+	Discriminative Class Tokens for Text-to-Image Diffusion Models	2023	Idan Schwartz Vésteinn Snæbjarnarson Sagie Benaim Hila Chefer Ryan Cotterell Lior Wolf Serge Belongie
+	The Hidden Language of Diffusion Models	2023	Hila Chefer Oran Lang Mor Geva Volodymyr Polosukhin Assaf Shocher Michal Irani Inbar Mosseri Lior Wolf
+ PDF Chat	Image-Based CLIP-Guided Essence Transfer	2022	Hila Chefer Sagie Benaim Roni Paiss Lior Wolf
+	No Token Left Behind: Explainability-Aided Image Classification and Generation	2022	Roni Paiss Hila Chefer Lior Wolf
+	Optimizing Relevance Maps of Vision Transformers Improves Robustness	2022	Hila Chefer Idan Schwartz Lior Wolf
+ PDF Chat	No Token Left Behind: Explainability-Aided Image Classification and Generation	2022	Roni Paiss Hila Chefer Lior Wolf
+ PDF Chat	Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	2021	Hila Chefer Shir Gur Lior Wolf
+ PDF Chat	Transformer Interpretability Beyond Attention Visualization	2021	Hila Chefer Shir Gur Lior Wolf
+	Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	2021	Hila Chefer Shir Gur Lior Wolf
+	Image-Based CLIP-Guided Essence Transfer	2021	Hila Chefer Sagie Benaim Roni Paiss Lior Wolf
+	Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	2021	Hila Chefer Shir Gur Lior Wolf
+	Transformer Interpretability Beyond Attention Visualization	2020	Hila Chefer Shir Gur Lior Wolf
+	Transformer Interpretability Beyond Attention Visualization	2020	Hila Chefer Shir Gur Lior Wolf

Common Coauthors

Coauthor	Papers Together
Lior Wolf	17
Roni Paiss	8
Shir Gur	6
Inbar Mosseri	5
Omer Tov	4
Sagie Benaim	4
Ariel Ephrat	4
Tomer Michaeli	4
Tali Dekel	4
Shiran Zada	4
Michael Rubinstein	3
Idan Schwartz	3
Junhwa Hur	2
Serge Belongie	2
Omer Bar-Tal	2
Yael Vinker	2
Daniel Cohen–Or	2
Charles Herrmann	2
Vésteinn Snæbjarnarson	2
Yuval Alaluf	2
Oliver Wang	2
Yuanzhen Li	1
Deqing Sun	1
Michal Irani	1
Wolf Lior	1
Assaf Shocher	1
Oran Lang	1
A. Stephan Antony Raj	1
Volodymyr Polosukhin	1
Yuanzhen Li	1
Deqing Sun	1
Mor Geva	1
Ryan Cotterell	1
Guanghui Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	4
+	Quantifying Attention Flow in Transformers	2020	Samira Abnar Willem Zuidema	4
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	4
+ PDF Chat	High-Resolution Image Synthesis with Latent Diffusion Models	2022	Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer	4
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	3
+	LXMERT: Learning Cross-Modality Encoder Representations from Transformers	2019	Hao Tan Mohit Bansal	3
+	Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned	2019	Elena Voita David Talbot Fédor Moiseev Rico Sennrich Ivan Titov	3
+ PDF Chat	Image-Based CLIP-Guided Essence Transfer	2022	Hila Chefer Sagie Benaim Roni Paiss Lior Wolf	3
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	3
+ PDF Chat	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers	2016	Alexander Binder Grégoire Montavon Sebastian Lapuschkin Klaus‐Robert Müller Wojciech Samek	3
+ PDF Chat	StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery	2021	Or Patashnik Zongze Wu Eli Shechtman Daniel Cohen‐Or Dani Lischinski	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	Explaining nonlinear classification decisions with deep Taylor decomposition	2016	Grégoire Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus‐Robert Müller	3
+ PDF Chat	Understanding Individual Decisions of CNNs via Contrastive Backpropagation	2019	Jindong Gu Yinchong Yang Volker Tresp	3
+ PDF Chat	Top-Down Neural Attention by Excitation Backprop	2017	Jianming Zhang Sarah Adel Bargal Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff	3
+	Real Time Image Saliency for Black Box Classifiers	2017	Piotr Dabkowski Yarin Gal	3
+ PDF Chat	Understanding Deep Networks via Extremal Perturbations and Smooth Masks	2019	Ruth Fong Mandela Patrick Andrea Vedaldi	3
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	3
+ PDF Chat	Visualizing Deep Convolutional Neural Networks Using Natural Pre-images	2016	Aravindh Mahendran Andrea Vedaldi	3
+ PDF Chat	End-to-End Object Detection with Transformers	2020	Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko	3
+ PDF Chat	Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks	2020	Woo-Jeoung Nam Shir Gur Jaesik Choi Lior Wolf Seong-Whan Lee	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Interpretable Explanations of Black Boxes by Meaningful Perturbation	2017	Ruth Fong Andrea Vedaldi	3
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	3
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	2
+ PDF Chat	VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance	2022	Katherine Crowson Stella Biderman Daniel Kornis Dashiell Stander Eric Hallahan Louis Castricato Edward Raff	2
+	Gaussian Error Linear Units (GELUs)	2016	Dan Hendrycks Kevin Gimpel	2
+ PDF Chat	Explaining Explanations in AI	2019	Brent Mittelstadt Chris Russell Sandra Wachter	2
+	Not Just a Black Box: Learning Important Features Through Propagating Activation Differences	2016	Avanti Shrikumar Peyton Greenside А.В. Щербина Anshul Kundaje	2
+	L-Shapley and C-Shapley: Efficient Model Interpretation for Structured Data	2018	Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan	2
+	ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks	2019	Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee	2
+ PDF Chat	A Decomposable Attention Model for Natural Language Inference	2016	Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit	2
+ PDF Chat	Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	2021	Hila Chefer Shir Gur Lior Wolf	2
+	Full-Gradient Representation for Neural Network Visualization	2019	Suraj Srinivas François Fleuret	2
+ PDF Chat	Transformer Interpretability Beyond Attention Visualization	2021	Hila Chefer Shir Gur Lior Wolf	2
+	SmoothGrad: removing noise by adding noise	2017	Daniel Smilkov Nikhil Thorat Been Kim Fernanda Viégas Martin Wattenberg	2
+	Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization	2020	Shir Gur Ameen Ali Lior Wolf	2
+ PDF Chat	Tell Me Where to Look: Guided Attention Inference Network	2018	Kunpeng Li Ziyan Wu Kuan-Chuan Peng Jan Ernst Yun Fu	2
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+ PDF Chat	Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization	2021	Shir Gur Ameen Ali Lior Wolf	2
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	2
+	ERASER: A Benchmark to Evaluate Rationalized NLP Models	2020	Jay DeYoung Sarthak Jain Nazneen Fatema Rajani Eric Lehman Caiming Xiong Richard Socher Byron Wallace	2
+ PDF Chat	Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation	2019	Brian Kenji Iwana Ryohei Kuroki Seiichi Uchida	2
+ PDF Chat	Analyzing and Improving the Image Quality of StyleGAN	2020	Tero Karras Samuli Laine Miika Aittala Janne Hellsten Jaakko Lehtinen Timo Aila	2
+	Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation	2019	Brian Kenji Iwana Ryohei Kuroki Seiichi Uchida	2
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	2
+	A Benchmark for Interpretability Methods in Deep Neural Networks	2018	Sara Hooker Dumitru Erhan Pieter-Jan Kindermans Been Kim	2
+	Denoising Diffusion Probabilistic Models	2020	Jonathan Ho Ajay N. Jain Pieter Abbeel	2
+ PDF Chat	Blended Diffusion for Text-driven Editing of Natural Images	2022	Omri Avrahami Dani Lischinski Ohad Fried	2
+ PDF Chat	DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis	2022	Ming Tao Hao Tang Fei Wu Xiao‐Yuan Jing Bing‐Kun Bao Changsheng Xu	2