Search Results for author: Xinzhe Han

Found 5 papers, 3 papers with code

Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision

no code implementations ECCV 2020 Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian

In this paper, we rethink implicit reasoning process in VQA, and propose a new formulation which maximizes the log-likelihood of joint distribution for the observed question and predicted answer.

Question Answering Visual Question Answering +2

Attribute Group Editing for Reliable Few-shot Image Generation

1 code implementation16 Mar 2022 Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang

Few-shot image generation is a challenging task even using the state-of-the-art Generative Adversarial Networks (GANs).

Dictionary Learning Image Generation

General Greedy De-bias Learning

1 code implementation20 Dec 2021 Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian

It encourages the base model to focus on examples that are hard to solve with biased models, thus remaining robust against spurious correlations in the test stage.

Image Classification Question Answering +1

Edge-featured Graph Neural Architecture Search

no code implementations3 Sep 2021 Shaofei Cai, Liang Li, Xinzhe Han, Zheng-Jun Zha, Qingming Huang

Recently, researchers study neural architecture search (NAS) to reduce the dependence of human expertise and explore better GNN architectures, but they over-emphasize entity features and ignore latent relation information concealed in the edges.

Neural Architecture Search

Greedy Gradient Ensemble for Robust Visual Question Answering

1 code implementation ICCV 2021 Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian

Language bias is a critical issue in Visual Question Answering (VQA), where models often exploit dataset biases for the final decision without considering the image information.

Question Answering Visual Question Answering +1

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