Abdullah Rashwan

25 papers A* 4A 3C 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	InfinityStory: Unlimited Video Generation with World Consistency and Character-Aware Shot Transitions. CoRR Mohamed Elmoghany, Liangbing Zhao, Xiaoqian Shen, Subhojyoti Mukherjee, Yang Zhou, Gang Wu, Viet Dac Lai, Seunghyun Yoon, Ryan Rossi, Abdullah Rashwan, Puneet Mathur, Varun Manjunatha, Daksh Dangi, Chien Nguyen, Nedim Lipka, Trung Bui, Krishna Kumar Singh, Ruiyi Zhang, Xiaolei Huang, Jaemin Cho, Yu Wang, Namyong Park, Zhengzhong Tu, Hongjie Chen, Hoda Eldardiry, Nesreen K. Ahmed, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. CoRR 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
2024	J	`jnl`	Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models. Trans. Mach. Learn. Res. Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, Shixin Luo, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani, Andrew Bunner, Kevin Swersky, David J. Fleet, Oliver Wang, Jason M. Baldridge
2024	J	`jnl`	Layered Diffusion Model for One-Shot High Resolution Text-to-Image Synthesis. CoRR Emaad Khwaja, Abdullah Rashwan, Ting Chen, Oliver Wang, Suraj Kothawade, Yeqing Li
2024	A	`conf`	MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. WACV Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
2024	A*	`conf`	Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. NeurIPS Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
2024	J	`jnl`	Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning. CoRR Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
2023	A*	`conf`	AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. ICCV Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li
2023	A*	`conf`	DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
2023	J	`jnl`	DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
2023	J	`jnl`	MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. CoRR Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
2023	J	`jnl`	Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin
2021	J	`jnl`	Dilated SpineNet for Semantic Segmentation. CoRR Abdullah Rashwan, Xianzhi Du, Xiaoqi Yin, Jing Li
2020	A	`conf`	Batch norm with entropic regularization turns deterministic autoencoders into generative models. UAI Amur Ghose, Abdullah Rashwan, Pascal Poupart
2020	J	`jnl`	Batch norm with entropic regularization turns deterministic autoencoders into generative models. CoRR Amur Ghose, Abdullah Rashwan, Pascal Poupart
2020	J	`jnl`	Discriminative training of feed-forward and recurrent sum-product networks by extended Baum-Welch. Int. J. Approx. Reason. Haonan Duan, Abdullah Rashwan, Pascal Poupart, Zhitang Chen
2020	J	`jnl`	MatrixNets: A New Scale and Aspect Ratio Aware Architecture for Object Detection. CoRR Abdullah Rashwan, Rishav Agarwal, Agastya Kalra, Pascal Poupart
2019	—	`conf`	Matrix Nets: A New Deep Architecture for Object Detection. ICCV Workshops Abdullah Rashwan, Agastya Kalra, Pascal Poupart
2019	J	`jnl`	Matrix Nets: A New Deep Architecture for Object Detection. CoRR Abdullah Rashwan, Agastya Kalra, Pascal Poupart
2019	—	`—`	Parameter and Structure Learning Techniques for Sum Product Networks. Abdullah Rashwan
2018	—	`conf`	Discriminative Training of Sum-Product Networks by Extended Baum-Welch. PGM Abdullah Rashwan, Pascal Poupart, Zhitang Chen
2018	C	`conf`	Fully Connected Network for HEVC CU Split Decision equipped with Laplacian Transparent Composite Model. PCS Hossam Amer, Abdullah Rashwan, En-Hui Yang
2018	A*	`conf`	Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. NeurIPS Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias
2016	—	`conf`	Online Algorithms for Sum-Product Networks with Continuous Variables. Probabilistic Graphical Models Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Ershad Banijamali, Zhitang Chen, Pascal Poupart
2016	A	`conf`	Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks. AISTATS Abdullah Rashwan, Han Zhao, Pascal Poupart