output
20162026
most citedSwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

65 citations

Showing cs.CVShow all

15 papers · 1 filter

cs.CV2025★ 1 cited

Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis

Xiaoming Zhang, Chunli Li, Jiacheng Hao +9

Esophageal varices (EV) represent a critical complication of portal hypertension, affecting approximately 60% of cirrhosis patients with a significant bleeding risk of ~30%. While…

cs.CV2024

A Survey on 3D Skeleton Based Person Re-Identification: Taxonomy, Advances, Challenges, and Interdisciplinary Prospects

Haocong Rao, Chunyan Miao

Person re-identification via 3D skeletons is an important emerging research area that attracts increasing attention within the pattern recognition community. With distinctive advan…

cs.CV2023

CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion

Haotian Dong, Enhui Ma, Lubo Wang +7

Semantic scene completion (SSC) requires an accurate understanding of the geometric and semantic relationships between the objects in the 3D scene for reasoning the occluded object…

cs.CV2022★ 65 cited

SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

Yuan Hu, Lei Chen, Zhibin Wang +1

Data-driven approaches for medium-range weather forecasting are recently shown extraordinarily promising for ensemble forecasting for their fast inference speed compared to traditi…

cs.CV2022★ 5 cited

Hierarchical Vectorization for Portrait Images

Qian Fu, Linlin Liu, Fei Hou +1

Aiming at developing intuitive and easy-to-use portrait editing tools, we propose a novel vectorization method that can automatically convert raster images into a 3-tier hierarchic…

cs.CV2021★ 8 cited

WaveFill: A Wavelet-based Generation Network for Image Inpainting

Yingchen Yu, Fangneng Zhan, Shijian Lu +4

Image inpainting aims to complete the missing or corrupted regions of images with realistic contents. The prevalent approaches adopt a hybrid objective of reconstruction and percep…

cs.CV2021★ 22 cited

GAN Prior Embedded Network for Blind Face Restoration in the Wild

Tao Yang, Peiran Ren, Xuansong Xie +1

Blind face restoration (BFR) from severely degraded face images in the wild is a very challenging problem. Due to the high illness of the problem and the complex unknown degradatio…

cs.CV2020★ 40 cited

Suppress and Balance: A Simple Gated Network for Salient Object Detection

Xiaoqi Zhao, Youwei Pang, Lihe Zhang +2

Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the encoder exchanges inf…

cs.CV2020★ 13 cited

Region-adaptive Texture Enhancement for Detailed Person Image Synthesis

Lingbo Yang, Pan Wang, Xinfeng Zhang +6

The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strate…

cs.CV2020★ 16 cited

Learning in the Frequency Domain

Kai Xu, Minghai Qin, Fei Sun +3

Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…

cs.CV2020★ 39 cited

Unbiased Scene Graph Generation from Biased Training

Kaihua Tang, Yulei Niu, Jianqiang Huang +2

Today's scene graph generation (SGG) task is still far from practical, mainly due to the severe training bias, e.g., collapsing diverse "human walk on / sit on / lay on beach" into…

cs.CV2020★ 1 cited

Towards Precise Intra-camera Supervised Person Re-identification

Menglin Wang, Baisheng Lai, Haokun Chen +3

Intra-camera supervision (ICS) for person re-identification (Re-ID) assumes that identity labels are independently annotated within each camera view and no inter-camera identity as…

cs.CV2019★ 9 cited

Two Causal Principles for Improving Visual Dialog

Jiaxin Qi, Yulei Niu, Jianqiang Huang +1

This paper unravels the design tricks adopted by us, the champion team MReaL-BDAI, for Visual Dialog Challenge 2019: two causal principles for improving Visual Dialog (VisDial). By…

cs.CV2018★ 14 cited

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Qijie Zhao, Tao Sheng, Yongtao Wang +4

Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask R-CN…

cs.CV2018★ 62 cited

Toward Convolutional Blind Denoising of Real Photographs

Shi Guo, Zifei Yan, Kai Zhang +2

While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on…