Search Results for author: Hao-Yu Wu

Found 7 papers, 3 papers with code

Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations

no code implementations12 Aug 2021 Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk

Large-scale pretraining of visual representations has led to state-of-the-art performance on a range of benchmark computer vision tasks, yet the benefits of these techniques at extreme scale in complex production systems has been relatively unexplored.

Multi-Task Learning Representation Learning

Disentangle Perceptual Learning through Online Contrastive Learning

no code implementations24 Jun 2020 Kangfu Mei, Yao Lu, Qiaosi Yi, Hao-Yu Wu, Juncheng Li, Rui Huang

Perceptual learning approaches like perceptual loss are empirically powerful for such tasks but they usually rely on the pre-trained classification network to provide features, which are not necessarily optimal in terms of visual perception of image transformation.

Contrastive Learning feature selection

Shop The Look: Building a Large Scale Visual Shopping System at Pinterest

no code implementations18 Jun 2020 Raymond Shiau, Hao-Yu Wu, Eric Kim, Yue Li Du, Anqi Guo, Zhiyuan Zhang, Eileen Li, Kunlong Gu, Charles Rosenberg, Andrew Zhai

As online content becomes ever more visual, the demand for searching by visual queries grows correspondingly stronger.

Object Detection

HighEr-Resolution Network for Image Demosaicing and Enhancing

1 code implementation19 Nov 2019 Kangfu Mei, Juncheng Li, Jiajie Zhang, Hao-Yu Wu, Jie Li, Rui Huang

However, plenty of studies have shown that global information is crucial for image restoration tasks like image demosaicing and enhancing.


Large Scale Open-Set Deep Logo Detection

1 code implementation18 Nov 2019 Muhammet Bastan, Hao-Yu Wu, Tian Cao, Bhargava Kota, Mehmet Tek

We present an open-set logo detection (OSLD) system, which can detect (localize and recognize) any number of unseen logo classes without re-training; it only requires a small set of canonical logo images for each logo class.

Metric Learning

Learning a Unified Embedding for Visual Search at Pinterest

no code implementations5 Aug 2019 Andrew Zhai, Hao-Yu Wu, Eric Tzeng, Dong Huk Park, Charles Rosenberg

The solution we present not only allows us to train for multiple application objectives in a single deep neural network architecture, but takes advantage of correlated information in the combination of all training data from each application to generate a unified embedding that outperforms all specialized embeddings previously deployed for each product.

Metric Learning Recommendation Systems

Classification is a Strong Baseline for Deep Metric Learning

2 code implementations30 Nov 2018 Andrew Zhai, Hao-Yu Wu

Deep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images.

Binarization Classification +4

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