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2020 – today
- 2024
[j22]Surbhi Mittal, Kartik Thakral
, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton-Ferrer, Tal Hassner:
On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. Nat. Mac. Intell. 6(8): 936-949 (2024)- [c63]Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias Across Indic Languages. ECCV (88) 2024: 53-67 - [c62]Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner:
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. WACV 2024: 2399-2409 - [i48]Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner:
Navigating Text-to-Image Generative Bias across Indic Languages. CoRR abs/2408.00283 (2024) - 2023
- [j21]Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 560-575 (2023) - [j20]Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner:
TextStyleBrush: Transfer of Text Aesthetics From a Single Example. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 9122-9134 (2023) - [j19]Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu:
Reverse Engineering of Generative Models: Inferring Model Hyperparameters From Generated Images. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15477-15493 (2023) - [c61]Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu:
MaLP: Manipulation Localization Using a Proactive Scheme. CVPR 2023: 12343-12352 - [c60]Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim:
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CVPR 2023: 20071-20082 - [c59]Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner:
Self-Supervised Object Detection from Egocentric Videos. ICCV 2023: 5202-5214 - [c58]Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen:
Simple Transferability Estimation for Regression Tasks. UAI 2023: 1510-1521 - [c57]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. WACV 2023: 3402-3412 - [i47]Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu:
MaLP: Manipulation Localization Using a Proactive Scheme. CoRR abs/2303.16976 (2023) - [i46]Surbhi Mittal, Kartik Thakral, Richa Singh, Mayank Vatsa, Tamar Glaser, Cristian Canton-Ferrer, Tal Hassner:
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms. CoRR abs/2310.15848 (2023) - [i45]Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen:
Simple Transferability Estimation for Regression Tasks. CoRR abs/2312.00656 (2023) - [i44]Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner:
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings. CoRR abs/2312.15086 (2023) - 2022
- [j18]Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on Discrepancies Between Faces and Their Context. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6111-6121 (2022) - [j17]Weihong Deng, Tal Hassner, Xiaoming Liu, Maja Pantic:
TBIOM Special Issue on Trustworthy Biometrics-Editorial. IEEE Trans. Biom. Behav. Identity Sci. 4(3): 301-302 (2022) - [c56]Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner:
Few-shot Learning with Noisy Labels. CVPR 2022: 9079-9088 - [c55]Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu:
Proactive Image Manipulation Detection. CVPR 2022: 15365-15374 - [c54]Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner:
Task Grouping for Multilingual Text Recognition. ECCV Workshops (4) 2022: 297-313 - [c53]Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen:
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. ISITA 2022: 139-143 - [e39]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13661, Springer 2022, ISBN 978-3-031-19768-0 [contents] - [e38]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13662, Springer 2022, ISBN 978-3-031-20085-4 [contents] - [e37]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13663, Springer 2022, ISBN 978-3-031-20061-8 [contents] - [e36]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13664, Springer 2022, ISBN 978-3-031-19771-0 [contents] - [e35]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13665, Springer 2022, ISBN 978-3-031-20064-9 [contents] - [e34]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13666, Springer 2022, ISBN 978-3-031-20067-0 [contents] - [e33]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13667, Springer 2022, ISBN 978-3-031-20070-0 [contents] - [e32]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII. Lecture Notes in Computer Science 13668, Springer 2022, ISBN 978-3-031-20073-1 [contents] - [e31]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part IX. Lecture Notes in Computer Science 13669, Springer 2022, ISBN 978-3-031-20076-2 [contents] - [e30]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part X. Lecture Notes in Computer Science 13670, Springer 2022, ISBN 978-3-031-20079-3 [contents] - [e29]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XI. Lecture Notes in Computer Science 13671, Springer 2022, ISBN 978-3-031-20082-3 [contents] - [e28]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XII. Lecture Notes in Computer Science 13672, Springer 2022, ISBN 978-3-031-19774-1 [contents] - [e27]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIII. Lecture Notes in Computer Science 13673, Springer 2022, ISBN 978-3-031-19777-2 [contents] - [e26]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIV. Lecture Notes in Computer Science 13674, Springer 2022, ISBN 978-3-031-19780-2 [contents] - [e25]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XV. Lecture Notes in Computer Science 13675, Springer 2022, ISBN 978-3-031-19783-3 [contents] - [e24]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVI. Lecture Notes in Computer Science 13676, Springer 2022, ISBN 978-3-031-19786-4 [contents] - [e23]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVII. Lecture Notes in Computer Science 13677, Springer 2022, ISBN 978-3-031-19789-5 [contents] - [e22]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVIII. Lecture Notes in Computer Science 13678, Springer 2022, ISBN 978-3-031-19796-3 [contents] - [e21]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIX. Lecture Notes in Computer Science 13679, Springer 2022, ISBN 978-3-031-19799-4 [contents] - [e20]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XX. Lecture Notes in Computer Science 13680, Springer 2022, ISBN 978-3-031-20043-4 [contents] - [e19]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXI. Lecture Notes in Computer Science 13681, Springer 2022, ISBN 978-3-031-19802-1 [contents] - [e18]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXII. Lecture Notes in Computer Science 13682, Springer 2022, ISBN 978-3-031-20046-5 [contents] - [e17]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIII. Lecture Notes in Computer Science 13683, Springer 2022, ISBN 978-3-031-20049-6 [contents] - [e16]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIV. Lecture Notes in Computer Science 13684, Springer 2022, ISBN 978-3-031-20053-3 [contents] - [e15]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXV. Lecture Notes in Computer Science 13685, Springer 2022, ISBN 978-3-031-19805-2 [contents] - [e14]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVI. Lecture Notes in Computer Science 13686, Springer 2022, ISBN 978-3-031-19808-3 [contents] - [e13]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVII. Lecture Notes in Computer Science 13687, Springer 2022, ISBN 978-3-031-19811-3 [contents] - [e12]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXVIII. Lecture Notes in Computer Science 13688, Springer 2022, ISBN 978-3-031-19814-4 [contents] - [e11]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXIX. Lecture Notes in Computer Science 13689, Springer 2022, ISBN 978-3-031-19817-5 [contents] - [e10]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXX. Lecture Notes in Computer Science 13690, Springer 2022, ISBN 978-3-031-20055-7 [contents] - [e9]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXI. Lecture Notes in Computer Science 13691, Springer 2022, ISBN 978-3-031-19820-5 [contents] - [e8]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXII. Lecture Notes in Computer Science 13692, Springer 2022, ISBN 978-3-031-19823-6 [contents] - [e7]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIII. Lecture Notes in Computer Science 13693, Springer 2022, ISBN 978-3-031-19826-7 [contents] - [e6]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIV. Lecture Notes in Computer Science 13694, Springer 2022, ISBN 978-3-031-19829-8 [contents] - [e5]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXV. Lecture Notes in Computer Science 13695, Springer 2022, ISBN 978-3-031-19832-8 [contents] - [e4]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXVI. Lecture Notes in Computer Science 13696, Springer 2022, ISBN 978-3-031-20058-8 [contents] - [e3]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXVII. Lecture Notes in Computer Science 13697, Springer 2022, ISBN 978-3-031-19835-9 [contents] - [e2]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXVIII. Lecture Notes in Computer Science 13698, Springer 2022, ISBN 978-3-031-19838-0 [contents] - [e1]Shai Avidan, Gabriel J. Brostow, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXXIX. Lecture Notes in Computer Science 13699, Springer 2022, ISBN 978-3-031-19841-0 [contents] - [i43]Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGANv2: Improved Subject Agnostic Face Swapping and Reenactment. CoRR abs/2202.12972 (2022) - [i42]Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu:
Proactive Image Manipulation Detection. CoRR abs/2203.15880 (2022) - [i41]Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner:
Few-shot Learning with Noisy Labels. CoRR abs/2204.05494 (2022) - [i40]Cuong N. Nguyen, Lam Si Tung Ho, Vu C. Dinh, Tal Hassner, Cuong V. Nguyen:
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy. CoRR abs/2209.05709 (2022) - [i39]Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner:
Task Grouping for Multilingual Text Recognition. CoRR abs/2210.07423 (2022) - [i38]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. CoRR abs/2210.13605 (2022) - [i37]Zhiheng Li, Ivan Evtimov, Albert Gordo, Caner Hazirbas, Tal Hassner, Cristian Canton-Ferrer, Chenliang Xu, Mark Ibrahim:
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others. CoRR abs/2212.04825 (2022) - [i36]Raghav Mehta, Vítor Albiero, Li Chen, Ivan Evtimov, Tamar Glaser, Zhiheng Li, Tal Hassner:
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations. CoRR abs/2212.06254 (2022) - 2021
- [c52]Yuval Nirkin, Lior Wolf, Tal Hassner:
HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation. CVPR 2021: 4061-4070 - [c51]Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner:
A Multiplexed Network for End-to-End, Multilingual OCR. CVPR 2021: 4547-4557 - [c50]Vitor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner:
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. CVPR 2021: 7617-7627 - [c49]Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, Tal Hassner:
TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text. CVPR 2021: 8802-8812 - [c48]Koby Bibas, Meir Feder, Tal Hassner:
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. NeurIPS 2021: 1179-1191 - [i35]Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner:
A Multiplexed Network for End-to-End, Multilingual OCR. CoRR abs/2103.15992 (2021) - [i34]Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, Tal Hassner:
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text. CoRR abs/2105.05486 (2021) - [i33]Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu:
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images. CoRR abs/2106.07873 (2021) - [i32]Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, Tal Hassner:
TextStyleBrush: Transfer of Text Aesthetics from a Single Example. CoRR abs/2106.08385 (2021) - [i31]Koby Bibas, Meir Feder, Tal Hassner:
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. CoRR abs/2110.09246 (2021) - 2020
- [j16]Gil Shapira, Tal Hassner:
Fast and accurate line detection with GPU-based least median of squares. J. Real Time Image Process. 17(4): 839-851 (2020) - [c47]Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai:
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting. ECCV (11) 2020: 706-722 - [c46]Cuong V. Nguyen, Tal Hassner, Matthias W. Seeger, Cédric Archambeau:
LEEP: A New Measure to Evaluate Transferability of Learned Representations. ICML 2020: 7294-7305 - [i30]Cuong V. Nguyen, Tal Hassner, Cédric Archambeau, Matthias W. Seeger:
LEEP: A New Measure to Evaluate Transferability of Learned Representations. CoRR abs/2002.12462 (2020) - [i29]Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai:
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting. CoRR abs/2007.09482 (2020) - [i28]Yuval Nirkin, Lior Wolf, Yosi Keller, Tal Hassner:
DeepFake Detection Based on the Discrepancy Between the Face and its Context. CoRR abs/2008.12262 (2020) - [i27]Vitor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner:
img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. CoRR abs/2012.07791 (2020) - [i26]Yuval Nirkin, Lior Wolf, Tal Hassner:
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. CoRR abs/2012.11582 (2020)
2010 – 2019
- 2019
- [j15]Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gozde Sahin, Gérard G. Medioni:
Face-Specific Data Augmentation for Unconstrained Face Recognition. Int. J. Comput. Vis. 127(6-7): 642-667 (2019) - [j14]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. Int. J. Comput. Vis. 127(6-7): 930-956 (2019) - [j13]Iacopo Masi, Feng-Ju Chang, Jongmoo Choi, Shai Harel, Jungyeon Kim, KangGeon Kim, Jatuporn Toy Leksut, Stephen Rawls, Yue Wu, Tal Hassner, Wael AbdAlmageed, Gérard G. Medioni, Louis-Philippe Morency, Prem Natarajan, Ram Nevatia:
Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 379-393 (2019) - [c45]Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, Tal Hassner:
Balancing Specialization, Generalization, and Compression for Detection and Tracking. BMVC 2019: 219 - [c44]Matan Goldman, Tal Hassner, Shai Avidan:
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. CVPR Workshops 2019: 2886-2895 - [c43]Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. CVPR 2019: 5227-5236 - [c42]Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. ICCV 2019: 1395-1405 - [c41]Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGAN: Subject Agnostic Face Swapping and Reenactment. ICCV 2019: 7183-7192 - [i25]Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner:
Precise Detection in Densely Packed Scenes. CoRR abs/1904.00853 (2019) - [i24]Matan Goldman, Tal Hassner, Shai Avidan:
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation. CoRR abs/1905.00401 (2019) - [i23]Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR abs/1908.01091 (2019) - [i22]Yuval Nirkin, Yosi Keller, Tal Hassner:
FSGAN: Subject Agnostic Face Swapping and Reenactment. CoRR abs/1908.05932 (2019) - [i21]Anh Tuan Tran, Cuong V. Nguyen, Tal Hassner:
Transferability and Hardness of Supervised Classification Tasks. CoRR abs/1908.08142 (2019) - [i20]Dotan Kaufman, Koby Bibas, Eran Borenstein, Michael Chertok, Tal Hassner:
Balancing Specialization, Generalization, and Compression for Detection and Tracking. CoRR abs/1909.11348 (2019) - 2018
- [j12]Yue Wu, Tal Hassner, KangGeon Kim, Gérard G. Medioni, Prem Natarajan:
Facial Landmark Detection with Tweaked Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 3067-3074 (2018) - [c40]Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gérard G. Medioni:
Extreme 3D Face Reconstruction: Seeing Through Occlusions. CVPR 2018: 3935-3944 - [c39]Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gérard G. Medioni:
On Face Segmentation, Face Swapping, and Face Perception. FG 2018: 98-105 - [c38]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. FG 2018: 122-129 - [c37]Nazanin Mohammadi Sepahvand, Tal Hassner, Douglas L. Arnold, Tal Arbel:
CNN Prediction of Future Disease Activity for Multiple Sclerosis Patients from Baseline MRI and Lesion Labels. BrainLes@MICCAI (1) 2018: 57-69 - [c36]Iacopo Masi, Yue Wu, Tal Hassner, Prem Natarajan:
Deep Face Recognition: A Survey. SIBGRAPI 2018: 471-478 - [i19]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
ExpNet: Landmark-Free, Deep, 3D Facial Expressions. CoRR abs/1802.00542 (2018) - 2017
- [j11]Matthias Hernandez, Tal Hassner, Jongmoo Choi, Gérard G. Medioni:
Accurate 3D face reconstruction via prior constrained structure from motion. Comput. Graph. 66: 14-22 (2017) - [j10]Tal Hassner, Shay Filosof, Viki Mayzels, Lihi Zelnik-Manor:
SIFTing Through Scales. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1431-1443 (2017) - [c35]Anh Tuan Tran, Tal Hassner, Iacopo Masi, Gérard G. Medioni:
Regressing Robust and Discriminative 3D Morphable Models with a Very Deep Neural Network. CVPR 2017: 1493-1502 - [c34]Iacopo Masi, Tal Hassner, Anh Tuan Tran, Gérard G. Medioni:
Rapid Synthesis of Massive Face Sets for Improved Face Recognition. FG 2017: 604-611 - [c33]Dotan Kaufman, Gil Levi, Tal Hassner, Lior Wolf:
Temporal Tessellation: A Unified Approach for Video Analysis. ICCV 2017: 94-104 - [c32]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
FacePoseNet: Making a Case for Landmark-Free Face Alignment. ICCV Workshops 2017: 1599-1608 - [i18]Yuval Nirkin, Iacopo Masi, Anh Tuan Tran, Tal Hassner, Gérard G. Medioni:
On Face Segmentation, Face Swapping, and Face Perception. CoRR abs/1704.06729 (2017) - [i17]Feng-Ju Chang, Anh Tuan Tran, Tal Hassner, Iacopo Masi, Ram Nevatia, Gérard G. Medioni:
FacePoseNet: Making a Case for Landmark-Free Face Alignment. CoRR abs/1708.07517 (2017) - [i16]Anh Tuan Tran, Tal Hassner, Iacopo Masi, Eran Paz, Yuval Nirkin, Gérard G. Medioni:
Extreme 3D Face Reconstruction: Looking Past Occlusions. CoRR abs/1712.05083 (2017) - 2016
- [j9]Moria Tau, Tal Hassner:
Dense Correspondences across Scenes and Scales. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 875-888 (2016) - [c31]Tal Hassner, Iacopo Masi, Jungyeon Kim, Jongmoo Choi, Shai Harel, Prem Natarajan, Gérard G. Medioni:
Pooling Faces: Template Based Face Recognition with Pooled Face Images. CVPR Workshops 2016: 127-135 - [c30]Iacopo Masi, Anh Tuan Tran, Tal Hassner, Jatuporn Toy Leksut, Gérard G. Medioni:
Do We Really Need to Collect Millions of Faces for Effective Face Recognition? ECCV (5) 2016: 579-596 - [c29]Christopher Parker, Matthew Daiter, Kareem Omar, Gil Levi, Tal Hassner:
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better. ECCV Workshops (3) 2016: 685-697 - [c28]Wael Abd-Almageed, Yue Wu, Stephen Rawls, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Toy Leksut, Jungyeon Kim, Prem Natarajan, Ram Nevatia, Gérard G. Medioni:
Face recognition using deep multi-pose representations. WACV 2016: 1-9 - [c27]Tal Hassner, Gilad Saban, Lior Wolf:
Texture instance similarity via dense correspondences. WACV 2016: 1-9 - [c26]Gil Levi, Tal Hassner:
LATCH: Learned arrangements of three patch codes. WACV 2016: 1-9 - [i15]Iacopo Masi, Anh Tuan Tran, Jatuporn Toy Leksut, Tal Hassner, Gérard G. Medioni:
Do We Really Need to Collect Millions of Faces for Effective Face Recognition? CoRR abs/1603.07057 (2016) - [i14]Wael Abd-Almageed, Yue Wu, Stephen Rawls, Shai Harel, Tal Hassner, Iacopo Masi, Jongmoo Choi, Jatuporn Toy Leksut, Jungyeon Kim, Prem Natarajan, Ram Nevatia, Gérard G. Medioni:
Face Recognition Using Deep Multi-Pose Representations. CoRR abs/1603.07388 (2016) - [i13]Tal Hassner, Iacopo Masi, Jungyeon Kim, Jongmoo Choi, Shai Harel, Prem Natarajan, Gérard G. Medioni:
Pooling Faces: Template based Face Recognition with Pooled Face Images. CoRR abs/1607.01450 (2016) - [i12]Christopher Parker, Matthew Daiter, Kareem Omar, Gil Levi, Tal Hassner:
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better. CoRR abs/1609.03986 (2016) - [i11]Anh Tuan Tran, Tal Hassner, Iacopo Masi, Gérard G. Medioni:
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network. CoRR abs/1612.04904 (2016) - [i10]Dotan Kaufman, Gil Levi, Tal Hassner, Lior Wolf:
Temporal Tessellation for Video Annotation and Summarization. CoRR abs/1612.06950 (2016) - 2015
- [c25]Gil Levi, Tal Hassner:
Age and gender classification using convolutional neural networks. CVPR Workshops 2015: 34-42 - [c24]Tal Hassner, Shai Harel, Eran Paz, Roee Enbar:
Effective face frontalization in unconstrained images. CVPR 2015: 4295-4304 - [c23]Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman:
Wide Baseline Stereo Matching with Convex Bounded Distortion Constraints. ICCV 2015: 2228-2236 - [c22]Gil Sadeh, Lior Wolf, Tal Hassner, Nachum Dershowitz, Daniel Stökl Ben Ezra:
Viral transcript alignment. ICDAR 2015: 711-715 - [c21]Gil Levi, Tal Hassner:
Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns. ICMI 2015: 503-510 - [i9]Gil Levi, Tal Hassner:
LATCH: Learned Arrangements of Three Patch Codes. CoRR abs/1501.03719 (2015) - [i8]Meirav Galun, Tal Amir, Tal Hassner, Ronen Basri, Yaron Lipman:
Wide baseline stereo matching with convex bounded-distortion constraints. CoRR abs/1506.03301 (2015) - [i7]Gil Shapira, Tal Hassner:
GPU-Based Computation of 2D Least Median of Squares with Applications to Fast and Robust Line Detection. CoRR abs/1510.01041 (2015) - [i6]Yue Wu, Tal Hassner:
Facial Landmark Detection with Tweaked Convolutional Neural Networks. CoRR abs/1511.04031 (2015) - 2014
- [j8]Tal Hassner, Itzik Bayaz:
Teaching Computer Vision: Bringing Research Benchmarks to the Classroom. ACM Trans. Comput. Educ. 14(4): 22:1-22:17 (2014) - [j7]Tal Hassner, Liav Assif, Lior Wolf:
When standard RANSAC is not enough: cross-media visual matching with hypothesis relevancy. Mach. Vis. Appl. 25(4): 971-983 (2014) - [j6]Eran Eidinger, Roee Enbar, Tal Hassner:
Age and Gender Estimation of Unfiltered Faces. IEEE Trans. Inf. Forensics Secur. 9(12): 2170-2179 (2014) - [c20]Lior Wolf, Yair Hanani, Tal Hassner:
A Piggyback Representation for Action Recognition. CVPR Workshops 2014: 520-525 - [i5]Moria Tau, Tal Hassner:
Dense Correspondences Across Scenes and Scales. CoRR abs/1406.6323 (2014) - [i4]Tal Hassner, Shai Harel, Eran Paz, Roee Enbar:
Effective Face Frontalization in Unconstrained Images. CoRR abs/1411.7964 (2014) - [i3]Tal Hassner, Robert Sablatnig, Dominique Stutzmann, Ségolène M. Tarte:
Digital Palaeography: New Machines and Old Texts (Dagstuhl Seminar 14302). Dagstuhl Reports 4(7): 112-134 (2014) - 2013
- [j5]Yerry Sofer, Tal Hassner, Andrei Sharf:
Interactive Learning for Point-Cloud Motion Segmentation. Comput. Graph. Forum 32(7): 51-60 (2013) - [c19]Tal Hassner:
A Critical Review of Action Recognition Benchmarks. CVPR Workshops 2013: 245-250 - [c18]Tal Hassner:
Viewing Real-World Faces in 3D. ICCV 2013: 3607-3614 - [c17]Tal Hassner, Lior Wolf, Nachum Dershowitz:
OCR-Free Transcript Alignment. ICDAR 2013: 1310-1314 - [i2]Tal Hassner, Ronen Basri:
Single View Depth Estimation from Examples. CoRR abs/1304.3915 (2013) - 2012
- [j4]Tal Hassner, Malte Rehbein, Peter A. Stokes, Lior Wolf:
Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Manifestos 2(1): 14-35 (2012) - [j3]Orit Kliper-Gross, Tal Hassner, Lior Wolf:
The Action Similarity Labeling Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 615-621 (2012) - [c16]Tal Hassner, Yossi Itcher, Orit Kliper-Gross:
Violent flows: Real-time detection of violent crowd behavior. CVPR Workshops 2012: 1-6 - [c15]Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor:
On SIFTs and their scales. CVPR 2012: 1522-1528 - [c14]Orit Kliper-Gross, Yaron Gurovich, Tal Hassner, Lior Wolf:
Motion Interchange Patterns for Action Recognition in Unconstrained Videos. ECCV (6) 2012: 256-269 - [i1]Tal Hassner, Malte Rehbein, Peter A. Stokes, Lior Wolf:
Computation and Palaeography: Potentials and Limits (Dagstuhl Perspectives Workshop 12382). Dagstuhl Reports 2(9): 184-199 (2012) - 2011
- [j2]Ronen Basri, Tal Hassner, Lihi Zelnik-Manor:
Approximate Nearest Subspace Search. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 266-278 (2011) - [j1]Lior Wolf, Tal Hassner, Yaniv Taigman:
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 1978-1990 (2011) - [c13]Lior Wolf, Tal Hassner, Itay Maoz:
Face recognition in unconstrained videos with matched background similarity. CVPR 2011: 529-534 - [c12]Orit Kliper-Gross, Tal Hassner, Lior Wolf:
One Shot Similarity Metric Learning for Action Recognition. SIMBAD 2011: 31-45 - 2010
- [c11]Dmitry Kropotov, Dmitry P. Vetrov, Lior Wolf, Tal Hassner:
Variational Relevance Vector Machine for Tabular Data. ACML 2010: 79-94
2000 – 2009
- 2009
- [c10]Lior Wolf, Tal Hassner, Yaniv Taigman:
Similarity Scores Based on Background Samples. ACCV (2) 2009: 88-97 - [c9]Yaniv Taigman, Lior Wolf, Tal Hassner:
Multiple One-Shots for Utilizing Class Label Information. BMVC 2009: 1-12 - [c8]Lior Wolf, Tal Hassner, Yaniv Taigman:
The One-Shot similarity kernel. ICCV 2009: 897-902 - [c7]Ronen Basri, Tal Hassner, Lihi Zelnik-Manor:
A general framework for Approximate Nearest Subspace search. ICCV Workshops 2009: 109-116 - 2007
- [c6]Ronen Basri, Tal Hassner, Lihi Zelnik-Manor:
Approximate Nearest Subspace Search with Applications to Pattern Recognition. CVPR 2007 - [c5]Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly, Daniel Cohen-Or:
Surface reconstruction using local shape priors. Symposium on Geometry Processing 2007: 253-262 - 2006
- [c4]Tal Hassner, Ronen Basri:
Example Based 3D Reconstruction from Single 2D Images. CVPR Workshops 2006: 15 - [c3]Tal Hassner, Ronen Basri:
Automatic Depth-Map Colorization. Eurographics (Short Presentations) 2006: 73-76 - 2005
- [c2]Tal Hassner, Lihi Zelnik-Manor, George Leifman, Ronen Basri:
Minimal-Cut Model Composition. SMI 2005: 72-81 - 2002
- [c1]Michal Irani, Tal Hassner, P. Anandan:
What Does the Scene Look Like from a Scene Point? ECCV (2) 2002: 883-897
Coauthor Index
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