Search Results for author: Xuan Xu

Found 9 papers, 0 papers with code

Unearthing Common Inconsistency for Generalisable Deepfake Detection

no code implementations20 Nov 2023 Beilin Chu, Xuan Xu, Weike You, Linna Zhou

While current image-level detection method fails to generalize to unseen domains, owing to the domain-shift phenomenon brought by CNN's strong inductive bias towards Deepfake texture, video-level one shows its potential to have both generalization across multiple domains and robustness to compression.

Contrastive Learning DeepFake Detection +2

ViT-DAE: Transformer-driven Diffusion Autoencoder for Histopathology Image Analysis

no code implementations3 Apr 2023 Xuan Xu, Saarthak Kapse, Rajarsi Gupta, Prateek Prasanna

This marks the first time that ViT has been introduced to diffusion autoencoders in computational pathology, allowing the model to better capture the complex and intricate details of histopathology images.

Denoising Image Generation

Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation

no code implementations ICCV 2023 Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna

We propose a novel approach to learn enhanced modality-agnostic representations by employing a meta-learning strategy in training, even when only limited full modality samples are available.

Brain Tumor Segmentation Image Generation +4

Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations

no code implementations CVPR 2022 Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna

In our method, a self-attention based Temporal Convolutional Network (TCN) is used to learn a representation that is most reflective of the disease trajectory.

severity prediction

Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer

no code implementations3 Feb 2022 Xuan Xu, Prateek Prasanna

Image-based brain cancer prediction models, based on radiomics, quantify the radiologic phenotype from magnetic resonance imaging (MRI).

Multiple Instance Learning Survival Prediction

Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians

no code implementations2 Dec 2021 Majid Jaberi-Douraki, Soudabeh Taghian Dinani, Nuwan Indika Millagaha Gedara, Xuan Xu, Emily Richards, Fiona Maunsell, Nader Zad, Lisa Ann Tell

Active ingredients, sensitivity, matrices, and species that have been evaluated for commercial rapid assay tests are typically reported on manufacturers' websites or in PDF documents that are available to consumers but may require a special access request.

Deformable Kernel Convolutional Network for Video Extreme Super-Resolution

no code implementations1 Oct 2020 Xuan Xu, Xin Xiong, Jinge Wang, Xin Li

Thanks to newly designed Deformable Kernel Convolution Alignment (DKC_Align) and Deformable Kernel Spatial Attention (DKSA) modules, DKSAN can better exploit both spatial and temporal redundancies to facilitate the information propagation across different layers.

Video Super-Resolution

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