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Omid Poursaeed
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2020 – today
- 2024
- [c16]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CVPR 2024: 12977-12987 - [c15]Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer:
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. ECCV (21) 2024: 298-314 - [i17]Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin:
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs. CoRR abs/2404.07449 (2024) - 2023
- [c14]Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim:
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CVPR 2023: 19413-19423 - [c13]Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim:
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. ICCV (Workshops) 2023: 1181-1186 - [c12]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [i16]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i15]Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim:
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. CoRR abs/2309.11569 (2023) - [i14]Ping-yeh Chiang, Yipin Zhou, Omid Poursaeed, Satya Narayan Shukla, Ashish Shah, Tom Goldstein, Ser-Nam Lim:
Universal Pyramid Adversarial Training for Improved ViT Performance. CoRR abs/2312.16339 (2023) - 2022
- [i13]Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim:
A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR abs/2211.11077 (2022) - [i12]Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim:
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CoRR abs/2212.04994 (2022) - 2021
- [c11]Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie
, Ser-Nam Lim:
Robustness and Generalization via Generative Adversarial Training. ICCV 2021: 15691-15700 - [i11]Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim:
Robustness and Generalization via Generative Adversarial Training. CoRR abs/2109.02765 (2021) - 2020
- [c10]Omid Poursaeed, Tianxing Jiang, Han Qiao, Nayun Xu, Vladimir G. Kim:
Self-Supervised Learning of Point Clouds via Orientation Estimation. 3DV 2020: 1018-1028 - [c9]Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim:
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. ECCV (10) 2020: 667-683 - [c8]Omid Poursaeed
Neural Puppet: Generative Layered Cartoon Characters. WACV 2020: 3335-3345 - [i10]Omid Poursaeed
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling. CoRR abs/2007.10294 (2020) - [i9]Omid Poursaeed
Self-supervised Learning of Point Clouds via Orientation Estimation. CoRR abs/2008.00305 (2020) - [i8]Davis Wertheimer
Augmentation-Interpolative AutoEncoders for Unsupervised Few-Shot Image Generation. CoRR abs/2011.13026 (2020)
2010 – 2019
- 2019
- [c7]Eugene Bagdasaryan, Omid Poursaeed, Vitaly Shmatikov:
Differential Privacy Has Disparate Impact on Model Accuracy. NeurIPS 2019: 15453-15462 - [i7]Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. CoRR abs/1910.02060 (2019) - [i6]Omid Poursaeed
Fine-grained Synthesis of Unrestricted Adversarial Examples. CoRR abs/1911.09058 (2019) - 2018
- [j1]Omid Poursaeed
Vision-based real estate price estimation. Mach. Vis. Appl. 29(4): 667-676 (2018) - [c6]Omid Poursaeed
Generative Adversarial Perturbations. CVPR 2018: 4422-4431 - [c5]Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie
Deep Fundamental Matrix Estimation Without Correspondences. ECCV Workshops (3) 2018: 485-497 - [i5]Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie:
Deep Fundamental Matrix Estimation without Correspondences. CoRR abs/1810.01575 (2018) - 2017
- [c4]Xun Huang, Yixuan Li, Omid Poursaeed
Stacked Generative Adversarial Networks. CVPR 2017: 1866-1875 - [i4]Omid Poursaeed
Vision-based Real Estate Price Estimation. CoRR abs/1707.05489 (2017) - [i3]Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge J. Belongie:
Generative Adversarial Perturbations. CoRR abs/1712.02328 (2017) - 2016
- [c3]Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed
Analytical studies of fragmented-spectrum multi-level OFDM-CDMA technique in cognitive radio networks. UEMCON 2016: 1-6 - [i2]Farhad Akhoundi, Saeed Sharifi-Malvajerdi, Omid Poursaeed, Jawad A. Salehi:
Analytical Studies of Fragmented-Spectrum Multi-Level OFDM-CDMA Technique in Cognitive Radio Networks. CoRR abs/1604.07124 (2016) - [i1]Xun Huang, Yixuan Li, Omid Poursaeed, John E. Hopcroft, Serge J. Belongie:
Stacked Generative Adversarial Networks. CoRR abs/1612.04357 (2016) - 2015
- [c2]Morteza H. Shoreh, Mohammad Javad Khojasteh
Cognitive-engined spectrum-fragmented synchronous MC-CDMA based on generalized hadamard codes. WCNC Workshops 2015: 159-163 - 2014
- [c1]Farhad Akhoondi, Omid Poursaeed
Resource allocation using fragmented-spectrum synchronous OFDM-CDMA in cognitive radio networks. IWCIT 2014: 1-4
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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