Abdullah Rashwan

According to our database, Abdullah Rashwan authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imagen 3.

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

CoRR, 2024

Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning.

Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li

CoRR, 2024

Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis.

Emaad Khwaja, Abdullah Rashwan, Ting Chen, Oliver Wang, Suraj Kothawade, Yeqing Li

CoRR, 2024

Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.

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

CoRR, 2024

MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation.

Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling.

Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin

CoRR, 2023

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model.

Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.

Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Dilated SpineNet for Semantic Segmentation.

Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li

CoRR, 2021

2020

Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch.

Haonan Duan, Abdullah Rashwan, Pascal Poupart, Zhitang Chen

Int. J. Approx. Reason., 2020

MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection.

Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart

CoRR, 2020

Batch norm with entropic regularization turns deterministic autoencoders into generative models.

Amur Ghose, Abdullah Rashwan, Pascal Poupart

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Parameter and Structure Learning Techniques for Sum Product Networks.

Abdullah Rashwan

PhD thesis, 2019

Matrix Nets: A New Deep Architecture for Object Detection.

Abdullah Rashwan, Agastya Kalra, Pascal Poupart

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Discriminative Training of Sum-Product Networks by Extended Baum-Welch.

Abdullah Rashwan, Pascal Poupart, Zhitang Chen

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Fully Connected Network for HEVC CU Split Decision equipped with Laplacian Transparent Composite Model.

Hossam Amer, Abdullah Rashwan, En-Hui Yang

Proceedings of the 2018 Picture Coding Symposium, 2018

Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks.

Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Online Algorithms for Sum-Product Networks with Continuous Variables.

Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks.

Abdullah Rashwan, Han Zhao, Pascal Poupart

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016