Search Results for author: Mahmoud Khademi

Found 10 papers, 1 papers with code

CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation

no code implementations30 Nov 2023 Zineng Tang, ZiYi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal

We present CoDi-2, a versatile and interactive Multimodal Large Language Model (MLLM) that can follow complex multimodal interleaved instructions, conduct in-context learning (ICL), reason, chat, edit, etc., in an any-to-any input-output modality paradigm.

Image Generation In-Context Learning +3

i-Code Studio: A Configurable and Composable Framework for Integrative AI

no code implementations23 May 2023 Yuwei Fang, Mahmoud Khademi, Chenguang Zhu, ZiYi Yang, Reid Pryzant, Yichong Xu, Yao Qian, Takuya Yoshioka, Lu Yuan, Michael Zeng, Xuedong Huang

Artificial General Intelligence (AGI) requires comprehensive understanding and generation capabilities for a variety of tasks spanning different modalities and functionalities.

Question Answering Retrieval +4

i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data

no code implementations21 May 2023 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

The convergence of text, visual, and audio data is a key step towards human-like artificial intelligence, however the current Vision-Language-Speech landscape is dominated by encoder-only models which lack generative abilities.

Decoder

Multimodal Neural Graph Memory Networks for Visual Question Answering

no code implementations ACL 2020 Mahmoud Khademi

The MN-GMN uses graph structure with different region features as node attributes and applies a recently proposed powerful graph neural network model, Graph Network (GN), to reason about objects and their interactions in an image.

Graph Neural Network Question Answering +1

Learning to Represent Programs with Graphs

2 code implementations ICLR 2018 Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi

Learning tasks on source code (i. e., formal languages) have been considered recently, but most work has tried to transfer natural language methods and does not capitalize on the unique opportunities offered by code's known syntax.

Relative Facial Action Unit Detection

no code implementations1 May 2014 Mahmoud Khademi, Louis-Philippe Morency

This paper presents a subject-independent facial action unit (AU) detection method by introducing the concept of relative AU detection, for scenarios where the neutral face is not provided.

Action Unit Detection Facial Action Unit Detection +1

Extended Active Learning Method

no code implementations10 Nov 2010 Ali Akbar Kiaei, Saeed Bagheri Shouraki, Seyed Hossein Khasteh, Mahmoud Khademi, Alireza Ghatreh Samani

Active Learning Method (ALM) is a soft computing method which is used for modeling and control, based on fuzzy logic.

Active Learning

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