no code implementations • 7 Mar 2024 • Nabil Ibtehaz, Ning Yan, Masood Mortazavi, Daisuke Kihara
At present two classes of attentions prevail in vision transformers, regional and sparse attention.
no code implementations • 23 Oct 2023 • Yihong Ma, Ning Yan, Jiayu Li, Masood Mortazavi, Nitesh V. Chawla
The surge in prompt-based learning within Natural Language Processing (NLP) suggests the potential of adapting a "pre-train, prompt" paradigm to graphs as an alternative.
no code implementations • 3 Nov 2022 • Masood S. Mortazavi, Tiancheng Qin, Ning Yan
Given an environment (e. g., a simulator) for evaluating samples in a specified design space and a set of weighted evaluation metrics -- one can use Theta-Resonance, a single-step Markov Decision Process (MDP), to train an intelligent agent producing progressively more optimal samples.
1 code implementation • CVPR 2021 • Hengyue Liu, Ning Yan, Masood S. Mortazavi, Bir Bhanu
This paper presents a fully convolutional scene graph generation (FCSGG) model that detects objects and relations simultaneously.
no code implementations • 4 Mar 2020 • Masood S. Mortazavi, Ning Yan
In this paper, we study the robustness of a given in-painting neural network against variations in hole geometry distributions.
no code implementations • 10 Mar 2017 • Ning Yan, Dong Liu, Houqiang Li, Feng Wu
To further improve the coding efficiency, sub-pel motion compensation has been utilized, which requires interpolation of fractional samples.
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