Shir Gur

I am a Ph.D. student at the Computer Science Department at Tel-Aviv University, working with Prof. Lior Wolf. Before, I was M.Sc. student working with Prof. Ohad Ben-Shahar at Ben-Gurion University of the Negev.

My research interests include Machine Learning, specifically Deep Learning, solving unsupervised problems in Computer vision.

PUBLICATIONS

R. Bensadoun, S. Gur, N. Blau, T. Shenkar , L. Wolf. "Neural Inverse Kinematics", International Conference on Machine Learning (ICML), 2022.

M. Rotman, A. Dekel, S. Gur, Y. Oz, L. Wolf. "Unsupervised Disentanglement with Tensor Product Representations on the Torus", International Conference on Learning Representations (ICLR), 2022.

R. Bensadoun, S. Gur, T. Galanti, L. Wolf. "Meta Internal Learning", Neural Information Processing Systems (NeurIPS), 2021.

H. Chefer, S. Gur, L. Wolf. "Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers", IEEE International Conference on Computer Vision (ICCV), 2021.(Oral)

S. Gur, N. Neverova, C. Stauffer, S. Lim, D. Kiela, A. Reiter. "Cross-Modal Retrieval Augmentation for Multi-Modal Classification", findings of Empirical Methods in Natural Language Processing (findings of EMNLP), 2021.

H. Chefer, S. Gur, L. Wolf. "Transformer Interpretability Beyond Attention Visualization", Computer Vision and Pattern Recognition (CVPR), 2021.

S. Gur, A. Ali, L. Wolf. "Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization", AAAI Conference on Artificial Intelligence (AAAI), 2021.

S. Gur, S. Benaim, L. Wolf. "Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample", Neural Information Processing Systems (NeurIPS), 2020.

S. Gur, T. Shaharabany, L. Wolf. "End to End Trainable Active Contours via Differentiable Rendering", International Conference on Learning Representations (ICLR), 2020.

W-J. Nam, S. Gur, J. Choi, L. Wolf, S-W. Lee. "Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks", AAAI Conference on Artificial Intelligence (AAAI), 2020. (Spotlight)

S. Gur, L. Wolf, L. Golgher, P. Blinder. "Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation", Pacific Symposium on Biocomputing (PSB) ,2020.(Oral)

S. Gur, L. Wolf, L. Golgher, P. Blinder. "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network", IEEE International Conference on Computer Vision (ICCV), 2019.

S. Gur, L. Wolf "Single Image Depth Estimation Trained via Depth from Defocus Cues", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

S. Gur, O. Ben-Shahar "From Square Pieces to BrickWalls: The Next Challenge in Solving Jigsaw Puzzles", IEEE International Conference on Computer Vision (ICCV), 2017.

TALKS

Presenting the work "Visualization of Supervised and Self-Supervised Neural Networksvia Attribution Guided Factorization" at GM IL

Presenting the work "Visualization of Supervised and Self-Supervised Neural Networksvia Attribution Guided Factorization" at Amazon IL

Presenting the work "Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample" in the NeurIPSi 2020

The work "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network" was mentioned in the ICCV Daily 2019

Presenting the work "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network" in the ICCVi 2019

Presenting the work "Single Image Depth Estimation Trained via Depth from Defocus Cues" in the CVPRi 2019

CONTACT

Shir Gur

Tel-Aviv University, Israel.

Office: ICRC Building

Email: me at gurshir dot com