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Adversarial Domain Adaptation with Domain Mixup
Minghao Xu, Jian Zhang, Bingbing Ni +4
Recent works on domain adaptation reveal the effectiveness of adversarial learning on filling the discrepancy between source and target domains. However, two common limitations exi…
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator
Yugang Chen, Muchun Chen, Chaoyue Song +1
Instance based photo cartoonization is one of the challenging image stylization tasks which aim at transforming realistic photos into cartoon style images while preserving the sema…
Reinventing 2D Convolutions for 3D Images
Jiancheng Yang, Xiaoyang Huang, Yi He +4
There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are gene…
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis
Jiancheng Yang, Rongyao Fang, Bingbing Ni +3
Radiomics analysis has achieved great success in recent years. However, conventional Radiomics analysis suffers from insufficiently expressive hand-crafted features. Recently, emer…
Facial Image Deformation Based on Landmark Detection
Chaoyue Song, Yugang Chen, Shulai Zhang +1
In this work, we use facial landmarks to make the deformation for facial images more authentic. The deformation includes the expansion of eyes and the shrinking of noses, mouths, a…
Evaluating and Boosting Uncertainty Quantification in Classification
Xiaoyang Huang, Jiancheng Yang, Linguo Li +3
Emergence of artificial intelligence techniques in biomedical applications urges the researchers to pay more attention on the uncertainty quantification (UQ) in machine-assisted me…
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks
Yunxiang Zhang, Chenglong Zhao, Bingbing Ni +2
To address the limitations of existing magnitude-based pruning algorithms in cases where model weights or activations are of large and similar magnitude, we propose a novel perspec…
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang, Qiang Zhang, Bingbing Ni +4
Geometric deep learning is increasingly important thanks to the popularity of 3D sensors. Inspired by the recent advances in NLP domain, the self-attention transformer is introduce…
Learning Context Graph for Person Search
Yichao Yan, Qiang Zhang, Bingbing Ni +3
Person re-identification has achieved great progress with deep convolutional neural networks. However, most previous methods focus on learning individual appearance feature embeddi…
Disentangled Deep Autoencoding Regularization for Robust Image Classification
Zhenyu Duan, Martin Renqiang Min, Li Erran Li +3
In spite of achieving revolutionary successes in machine learning, deep convolutional neural networks have been recently found to be vulnerable to adversarial attacks and difficult…
Adversarial Attack and Defense on Point Sets
Jiancheng Yang, Qiang Zhang, Rongyao Fang +3
Emergence of the utility of 3D point cloud data in safety-critical vision tasks (e.g., ADAS) urges researchers to pay more attention to the robustness of 3D representations and dee…