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Mahmoud Khademi
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2020 – today
- 2024
- [c12]Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal:
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CVPR 2024: 27415-27424 - [c11]Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. NAACL-HLT (Findings) 2024: 1615-1627 - [i12]Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - 2023
- [c10]Mahmoud Khademi, Ziyi Yang, Felipe Frujeri, Chenguang Zhu:
MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering. EMNLP (Findings) 2023: 6571-6581 - [i11]Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Mei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang:
i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. CoRR abs/2305.12311 (2023) - [i10]Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, Ziyi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang:
i-Code Studio: A Configurable and Composable Framework for Integrative AI. CoRR abs/2305.13738 (2023) - [i9]Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal:
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CoRR abs/2311.18775 (2023) - 2020
- [c9]Mahmoud Khademi, Oliver Schulte:
Deep Generative Probabilistic Graph Neural Networks for Scene Graph Generation. AAAI 2020: 11237-11245 - [c8]Mahmoud Khademi:
Multimodal Neural Graph Memory Networks for Visual Question Answering. ACL 2020: 7177-7188
2010 – 2019
- 2018
- [c7]Mahmoud Khademi, Oliver Schulte:
Dynamic Gated Graph Neural Networks for Scene Graph Generation. ACCV (6) 2018: 669-685 - [c6]Mahmoud Khademi, Oliver Schulte:
Image Caption Generation With Hierarchical Contextual Visual Spatial Attention. CVPR Workshops 2018: 1943-1951 - [c5]Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi:
Learning to Represent Programs with Graphs. ICLR 2018 - 2017
- [j1]Oliver Schulte
, Mahmoud Khademi, Sajjad Gholami, Zeyu Zhao, Mehrsan Javan Roshtkhari
A Markov Game model for valuing actions, locations, and team performance in ice hockey. Data Min. Knowl. Discov. 31(6): 1735-1757 (2017) - [i8]Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi:
Learning to Represent Programs with Graphs. CoRR abs/1711.00740 (2017) - 2015
- [c4]Mahmoud Khademi, Nedialko S. Nedialkov:
Probabilistic Graphical Models and Deep Belief Networks for Prognosis of Breast Cancer. ICMLA 2015: 727-732 - 2014
- [c3]Mahmoud Khademi, Louis-Philippe Morency:
Relative facial action unit detection. WACV 2014: 1090-1095 - [i7]Mahmoud Khademi, Louis-Philippe Morency:
Relative Facial Action Unit Detection. CoRR abs/1405.0085 (2014) - 2010
- [c2]Mahmoud Khademi, Mohammad Hadi Kiapour, Mohammad Taghi Manzuri Shalmani
Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling. ANNPR 2010: 161-172 - [c1]Mahmoud Khademi, Mohammad Taghi Manzuri Shalmani
Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network. MCS 2010: 304-313 - [i6]Mahmoud Khademi, Mohammad Hadi Kiapour, Mohammad Taghi Manzuri Shalmani, Ali Akbar Kiaei:
Analysis, Interpretation, and Recognition of Facial Action Units and Expressions Using Neuro-Fuzzy Modeling. CoRR abs/1004.0512 (2010) - [i5]Mahmoud Khademi, Mohammad Taghi Manzuri Shalmani, Mohammad Hadi Kiapour, Ali Akbar Kiaei:
Recognizing Combinations of Facial Action Units with Different Intensity Using a Mixture of Hidden Markov Models and Neural Network. CoRR abs/1004.0515 (2010) - [i4]Mahmoud Khademi, Mehran Safayani, Mohammad Taghi Manzuri Shalmani:
Multilinear Biased Discriminant Analysis: A Novel Method for Facial Action Unit Representation. CoRR abs/1004.0517 (2010) - [i3]Mehran Safayani, Mohammad Taghi Manzuri Shalmani, Mahmoud Khademi:
Extended Two-Dimensional PCA for Efficient Face Representation and Recognition. CoRR abs/1004.0755 (2010) - [i2]Ali Akbar Kiaei, Saeed Bagheri Shouraki, Seyed Hossein Khasteh, Mahmoud Khademi:
New S-norm and T-norm Operators for Active Learning Method. CoRR abs/1010.4561 (2010) - [i1]Ali Akbar Kiaei, Saeed Bagheri Shouraki, Seyed Hossein Khasteh, Mahmoud Khademi:
Extended Active Learning Method. CoRR abs/1011.2512 (2010)
Coauthor Index
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