no code implementations • 22 Oct 2023 • Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki
How to teach a model to learn embedding from different modalities without neglecting information from the less dominant modality is challenging.
1 code implementation • 13 Jul 2021 • Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro
This motivated creation of eProduct, a dataset consisting of 2. 5 million product images towards accelerating development in the areas of self-supervised learning, weakly-supervised learning, and multimodal learning, for fine-grained recognition.
1 code implementation • ICCV 2021 • Fuwen Tan, Jiangbo Yuan, Vicente Ordonez
Instance-level image retrieval is the task of searching in a large database for images that match an object in a query image.
Ranked #3 on Image Retrieval on RParis (Medium)
no code implementations • 18 Aug 2020 • Xuewen Yang, Dongliang Xie, Xin Wang, Jiangbo Yuan, Wanying Ding, Pengyun Yan
Our contributions include: 1) Designing a Mixed Category Attention Net (MCAN) which integrates both fine-grained and coarse category information into recommendation and learns the compatibility among fashion tuples.
Cultural Vocal Bursts Intensity Prediction Recommendation Systems
no code implementations • 30 Jan 2020 • Jiangbo Yuan, Bing Wu, Wanying Ding, Qing Ping, Zhendong Yu
We conduct the learning in an adversarial learning process, which bears a close resemblance to the original GAN but again shifts the learning from image spaces to prior and latent code spaces.
4 code implementations • 16 Apr 2019 • Qing Ping, Bing Wu, Wanying Ding, Jiangbo Yuan
In this paper, we introduce attribute-aware fashion-editing, a novel task, to the fashion domain.
no code implementations • 22 Dec 2015 • Jiangbo Yuan, Xiuwen Liu
The success of product quantization (PQ) for fast nearest neighbor search depends on the exponentially reduced complexities of both storage and computation with respect to the codebook size.