Search Results for author: Xin Xiong

Found 9 papers, 1 papers with code

Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction

no code implementations ECCV 2020 Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li

Depth completion is a widely studied problem of predicting a dense depth map from a sparse set of measurements and a single RGB image.

Depth Completion graph construction

Spatiotemporal Disentanglement of Arteriovenous Malformations in Digital Subtraction Angiography

no code implementations15 Feb 2024 Kathleen Baur, Xin Xiong, Erickson Torio, Rose Du, Parikshit Juvekar, Reuben Dorent, Alexandra Golby, Sarah Frisken, Nazim Haouchine

Although Digital Subtraction Angiography (DSA) is the most important imaging for visualizing cerebrovascular anatomy, its interpretation by clinicians remains difficult.

Anatomy Disentanglement

Distributionally Robust Transfer Learning

no code implementations12 Sep 2023 Xin Xiong, Zijian Guo, Tianxi Cai

Many existing transfer learning methods rely on leveraging information from source data that closely resembles the target data.

Transfer Learning

GIMM: InfoMin-Max for Automated Graph Contrastive Learning

no code implementations27 May 2023 Xin Xiong, Furao Shen, Xiangyu Wang, Jian Zhao

Many GCL methods with automated data augmentation face the risk of insufficient information as they fail to preserve the essential information necessary for the downstream task.

Contrastive Learning Data Augmentation +2

Rate-Distortion Optimization With Alternative References For UGC Video Compression

no code implementations11 Mar 2023 Xin Xiong, Eduardo Pavez, Antonio Ortega, Balu Adsumilli

We proposed a geometric criterion for saturation detection that works with rate-distortion optimization, and only requires a few frames from the UGC video.

Video Compression

Compression of user generated content using denoised references

no code implementations7 Mar 2022 Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli

UGC video is uploaded by users, and then it is re-encoded to be made available at various levels of quality.


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

Rotation Invariant Point Cloud Classification: Where Local Geometry Meets Global Topology

1 code implementation1 Nov 2019 Chen Zhao, Jiaqi Yang, Xin Xiong, Angfan Zhu, Zhiguo Cao, Xin Li

To the best of our knowledge, this work is the first principled approach toward adaptively combining global and local information under the context of RI point cloud analysis.

General Classification Point Cloud Classification

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