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ORCIDAbdullah Rashwan
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2020 – today
- 2024
[c10]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. WACV 2024: 840-850- [i11]Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang:
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR abs/2405.16759 (2024) - [i10]Emaad Khwaja, Abdullah Rashwan, Ting Chen, Oliver Wang, Suraj Kothawade, Yeqing Li:
Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. CoRR abs/2407.06079 (2024) - [i9]Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li:
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. CoRR abs/2407.12164 (2024) - [i8]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [c9]Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li:
AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV 2023: 17300-17311 - [c8]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 - [i7]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) - [i6]Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin:
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR abs/2309.16139 (2023) - [i5]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. CoRR abs/2312.06052 (2023) - 2021
- [i4]Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li:
Dilated SpineNet for Semantic Segmentation. CoRR abs/2103.12270 (2021) - 2020
- [j1]Haonan Duan, Abdullah Rashwan, Pascal Poupart, Zhitang Chen:
Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch. Int. J. Approx. Reason. 124: 66-81 (2020) - [c7]Amur Ghose, Abdullah Rashwan, Pascal Poupart:
Batch norm with entropic regularization turns deterministic autoencoders into generative models. UAI 2020: 1079-1088 - [i3]Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart:
MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. CoRR abs/2001.03194 (2020) - [i2]Amur Ghose, Abdullah Rashwan, Pascal Poupart:
Batch norm with entropic regularization turns deterministic autoencoders into generative models. CoRR abs/2002.10631 (2020)
2010 – 2019
- 2019
- [b1]Abdullah Rashwan:
Parameter and Structure Learning Techniques for Sum Product Networks. University of Waterloo, Ontario, Canada, 2019 - [c6]Abdullah Rashwan, Agastya Kalra, Pascal Poupart:
Matrix Nets: A New Deep Architecture for Object Detection. ICCV Workshops 2019: 2025-2028 - [i1]Abdullah Rashwan, Agastya Kalra, Pascal Poupart:
Matrix Nets: A New Deep Architecture for Object Detection. CoRR abs/1908.04646 (2019) - 2018
- [c5]Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias:
Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. NeurIPS 2018: 6944-6954 - [c4]Hossam Amer, Abdullah Rashwan, En-Hui Yang:
Fully Connected Network for HEVC CU Split Decision equipped with Laplacian Transparent Composite Model. PCS 2018: 189-193 - [c3]Abdullah Rashwan, Pascal Poupart, Zhitang Chen:
Discriminative Training of Sum-Product Networks by Extended Baum-Welch. PGM 2018: 356-367 - 2016
- [c2]Abdullah Rashwan, Han Zhao, Pascal Poupart:
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks. AISTATS 2016: 1469-1477 - [c1]Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart:
Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models 2016: 228-239
Coauthor Index
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