no code implementations • 5 Mar 2024 • Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig
Our framework leverages recent advances in foundation models, both large language models and vision-language models, to carve out the concept space through conversation and by automatically labeling training data points.
no code implementations • 7 Feb 2024 • Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, YuAn Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek
This study proposes a method for scaling up LLM reviews for content moderation in Google Ads.
no code implementations • 5 Dec 2023 • Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman
We propose Visual Program Distillation (VPD), an instruction tuning framework that produces a vision-language model (VLM) capable of solving complex visual tasks with a single forward pass.
Ranked #1 on Meme Classification on Hateful Memes
no code implementations • 29 Mar 2023 • Guan Zhe Hong, Yin Cui, Ariel Fuxman, Stanley H. Chan, Enming Luo
Furthermore, we perform comprehensive experiments using the label hierarchies of iNaturalist 2021 and observe that the following conditions, in addition to proper choice of label granularity, enable the transfer to work well in practice: 1) the pretraining dataset needs to have a meaningful label hierarchy, and 2) the pretraining and target label functions need to align well.
no code implementations • ICCV 2023 • Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, Mohammadhossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia Desalvo, Ranjay Krishna, Ariel Fuxman
In reaction, we introduce the problem of Agile Modeling: the process of turning any subjective visual concept into a computer vision model through a real-time user-in-the-loop interactions.
no code implementations • ECCV 2020 • Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz
Label noise is increasingly prevalent in datasets acquired from noisy channels.
Ranked #22 on Image Classification on Clothing1M (using extra training data)
no code implementations • 19 Jan 2016 • Enming Luo, Stanley H. Chan, Truong Q. Nguyen
We propose an adaptive learning procedure to learn patch-based image priors for image denoising.
no code implementations • 30 Jun 2014 • Enming Luo, Stanley H. Chan, Truong Q. Nguyen
First, we determine the basis function of the denoising filter by solving a group sparsity minimization problem.