activity
20112024
most citedCAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

226 citations · 750 across the 46 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 6 cited

2nd Place Solution to the GQA Challenge 2019

Shijie Geng, Ji Zhang, Hang Zhang +2

We present a simple method that achieves unexpectedly superior performance for Complex Reasoning involved Visual Question Answering. Our solution collects statistical features from…

cs.CV2019★ 4 cited

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization

Bingchen Liu, Yizhe Zhu, Zuohui Fu +2

Exploring the potential of GANs for unsupervised disentanglement learning, this paper proposes a novel GAN-based disentanglement framework with One-Hot Sampling and Orthogonal Regu…

cs.CV2019★ 12 cited

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning

Yizhe Zhu, Jianwen Xie, Bingchen Liu +1

We investigate learning feature-to-feature translator networks by alternating back-propagation as a general-purpose solution to zero-shot learning (ZSL) problems. It is a generativ…

cs.CV2019

Graphical Contrastive Losses for Scene Graph Parsing

Ji Zhang, Kevin J. Shih, Ahmed Elgammal +2

Most scene graph parsers use a two-stage pipeline to detect visual relationships: the first stage detects entities, and the second predicts the predicate for each entity pair using…

cs.CV2019★ 79 cited

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang +2

Zero-shot learning extends the conventional object classification to the unseen class recognition by introducing semantic representations of classes. Existing approaches predominan…