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Golnaz Ghiasi
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2020 – today
- 2024
- [i18]Zhecan Wang, Garrett Bingham, Adams Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi:
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. CoRR abs/2407.15680 (2024) - 2023
- [j3]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Kenji Kawaguchi, Hanxiao Liu, Adams Wei Yu, Jiahui Yu, Yi-Ting Chen, Minh-Thang Luong, Yonghui Wu, Mingxing Tan, Quoc V. Le:
Combined scaling for zero-shot transfer learning. Neurocomputing 555: 126658 (2023) - [c18]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS 2023 - [e2]George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris E. Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli:
Advances in Visual Computing - 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14361, Springer 2023, ISBN 978-3-031-47968-7 [contents] - [e1]George Bebis, Golnaz Ghiasi, Yi Fang, Andrei Sharf, Yue Dong, Chris E. Weaver, Zhicheng Leo, Joseph J. LaViola Jr., Luv Kohli:
Advances in Visual Computing - 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16-18, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14362, Springer 2023, ISBN 978-3-031-47965-6 [contents] - [i17]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR abs/2306.01736 (2023) - 2022
- [c17]Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. ECCV (36) 2022: 540-557 - [i16]Tianjian Meng, Golnaz Ghiasi, Reza Mahjourian, Quoc V. Le, Mingxing Tan:
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation. CoRR abs/2203.12683 (2022) - 2021
- [c16]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. CVPR 2021: 2918-2928 - [c15]Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin:
Multi-Task Self-Training for Learning General Representations. ICCV 2021: 8836-8845 - [i15]Samira Abnar, Rianne van den Berg, Golnaz Ghiasi, Mostafa Dehghani, Nal Kalchbrenner, Hanie Sedghi:
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent. CoRR abs/2106.06080 (2021) - [i14]Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin:
Multi-Task Self-Training for Learning General Representations. CoRR abs/2108.11353 (2021) - [i13]Hieu Pham, Zihang Dai, Golnaz Ghiasi, Hanxiao Liu, Adams Wei Yu, Minh-Thang Luong, Mingxing Tan, Quoc V. Le:
Combined Scaling for Zero-shot Transfer Learning. CoRR abs/2111.10050 (2021) - [i12]Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin:
Open-Vocabulary Image Segmentation. CoRR abs/2112.12143 (2021) - 2020
- [j2]Ali Reza Ghanbarian, Golnaz Ghiasi, Reza Safabakhsh, Narges Arastouie:
Writer identification with n-tuple direction feature from contour. IET Image Process. 14(6): 1101-1109 (2020) - [c14]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CVPR 2020: 11589-11598 - [c13]Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices. CVPR 2020: 13604-13613 - [c12]Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le:
Learning Data Augmentation Strategies for Object Detection. ECCV (27) 2020: 566-583 - [c11]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. ICLR 2020 - [c10]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin Dogus Cubuk, Quoc Le:
Rethinking Pre-training and Self-training. NeurIPS 2020 - [i11]Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le:
Rethinking Pre-training and Self-training. CoRR abs/2006.06882 (2020) - [i10]Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph:
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation. CoRR abs/2012.07177 (2020)
2010 – 2019
- 2019
- [c9]Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le:
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CVPR 2019: 7036-7045 - [c8]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. DGS@ICLR 2019 - [i9]Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le:
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. CoRR abs/1904.07392 (2019) - [i8]Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le:
Learning Data Augmentation Strategies for Object Detection. CoRR abs/1906.11172 (2019) - [i7]Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adam, Quoc V. Le:
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices. CoRR abs/1912.01106 (2019) - [i6]Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Golnaz Ghiasi, Mingxing Tan, Yin Cui, Quoc V. Le, Xiaodan Song:
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. CoRR abs/1912.05027 (2019) - 2018
- [c7]Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le:
DropBlock: A regularization method for convolutional networks. NeurIPS 2018: 10750-10760 - [i5]Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le:
DropBlock: A regularization method for convolutional networks. CoRR abs/1810.12890 (2018) - [i4]Mohammad Babaeizadeh, Golnaz Ghiasi:
Adjustable Real-time Style Transfer. CoRR abs/1811.08560 (2018) - 2017
- [c6]Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens:
Exploring the structure of a real-time, arbitrary neural artistic stylization network. BMVC 2017 - [i3]Golnaz Ghiasi, Honglak Lee, Manjunath Kudlur, Vincent Dumoulin, Jonathon Shlens:
Exploring the structure of a real-time, arbitrary neural artistic stylization network. CoRR abs/1705.06830 (2017) - 2016
- [b1]Golnaz Ghiasi:
Recognizing and Segmenting Objects in the Presence of Occlusion and Clutter. University of California, Irvine, USA, 2016 - [c5]Golnaz Ghiasi, Charless C. Fowlkes:
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation. ECCV (3) 2016: 519-534 - [i2]Golnaz Ghiasi, Charless C. Fowlkes:
Laplacian Reconstruction and Refinement for Semantic Segmentation. CoRR abs/1605.02264 (2016) - 2015
- [c4]Golnaz Ghiasi, Charless C. Fowlkes:
Using Segmentation to Predict the Absence of Occluded Parts. BMVC 2015: 22.1-22.12 - [i1]Golnaz Ghiasi, Charless C. Fowlkes:
Occlusion Coherence: Detecting and Localizing Occluded Faces. CoRR abs/1506.08347 (2015) - 2014
- [c3]Golnaz Ghiasi, Charless C. Fowlkes:
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model. CVPR 2014: 1899-1906 - [c2]Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless C. Fowlkes:
Parsing Occluded People. CVPR 2014: 2401-2408 - 2013
- [j1]Golnaz Ghiasi, Reza Safabakhsh:
Offline text-independent writer identification using codebook and efficient code extraction methods. Image Vis. Comput. 31(5): 379-391 (2013) - 2010
- [c1]Golnaz Ghiasi, Reza Safabakhsh:
An Efficient Method for Offline Text Independent Writer Identification. ICPR 2010: 1245-1248
Coauthor Index
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