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Shir Gur
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2020 – today
- 2022
- [c14]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. ICLR 2022 - [c13]Raphael Bensadoun, Shir Gur, Nitsan Blau, Lior Wolf:
Neural Inverse Kinematic. ICML 2022: 1787-1797 - [i12]Michael Rotman, Amit Dekel, Shir Gur, Yaron Oz, Lior Wolf:
Unsupervised Disentanglement with Tensor Product Representations on the Torus. CoRR abs/2202.06201 (2022) - [i11]Raphael Bensadoun, Shir Gur, Nitsan Blau, Tom Shenkar, Lior Wolf:
Neural Inverse Kinematics. CoRR abs/2205.10837 (2022) - 2021
- [b1]Shir Gur:
Classical Computer Vision In The Era of Deep Learning. Tel Aviv University, Israel, 2021 - [c12]Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. AAAI 2021: 11545-11554 - [c11]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CVPR 2021: 782-791 - [c10]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. EMNLP (Findings) 2021: 111-123 - [c9]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. ICCV 2021: 387-396 - [c8]Raphael Bensadoun, Shir Gur, Tomer Galanti, Lior Wolf:
Meta Internal Learning. NeurIPS 2021: 20645-20656 - [i10]Hila Chefer, Shir Gur, Lior Wolf:
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. CoRR abs/2103.15679 (2021) - [i9]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. CoRR abs/2104.08108 (2021) - [i8]Raphael Bensadoun
, Shir Gur, Tomer Galanti, Lior Wolf:
Meta Internal Learning. CoRR abs/2110.02900 (2021) - 2020
- [c7]Woo-Jeoung Nam, Shir Gur, Jaesik Choi
, Lior Wolf, Seong-Whan Lee:
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks. AAAI 2020: 2501-2508 - [c6]Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. ICLR 2020 - [c5]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. NeurIPS 2020 - [c4]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. PSB 2020: 331-342 - [i7]Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth from Defocus Cues. CoRR abs/2001.05036 (2020) - [i6]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. CoRR abs/2001.05076 (2020) - [i5]Shir Gur, Sagie Benaim, Lior Wolf:
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample. CoRR abs/2006.12226 (2020) - [i4]Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. CoRR abs/2012.02166 (2020) - [i3]Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. CoRR abs/2012.09838 (2020)
2010 – 2019
- 2019
- [c3]Shir Gur, Lior Wolf:
Single Image Depth Estimation Trained via Depth From Defocus Cues. CVPR 2019: 7683-7692 - [c2]Shir Gur, Lior Wolf, Lior Golgher
, Pablo Blinder
:
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. ICCV 2019: 10721-10730 - [i2]Shir Gur, Lior Wolf, Lior Golgher, Pablo Blinder:
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network. CoRR abs/1908.01373 (2019) - [i1]Shir Gur, Tal Shaharabany, Lior Wolf:
End to End Trainable Active Contours via Differentiable Rendering. CoRR abs/1912.00367 (2019) - 2017
- [c1]Shir Gur, Ohad Ben-Shahar
:
From Square Pieces to Brick Walls: The Next Challenge in Solving Jigsaw Puzzles. ICCV 2017: 4049-4057
Coauthor Index
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last updated on 2024-05-08 20:55 CEST by the dblp team
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