Search Results for author: Shijie Zhao

Found 14 papers, 6 papers with code

Informativity in Image Captions vs. Referring Expressions

no code implementations PaM 2020 Elizabeth Coppock, Danielle Dionne, Nathanial Graham, Elias Ganem, Shijie Zhao, Shawn Lin, Wenxing Liu, Derry Wijaya

We hope that an understanding of the systematic differences among these human datasets will ultimately allow them to be leveraged more effectively in the associated engineering tasks.

Image Captioning Referring Expression +2

Video Compression with Arbitrary Rescaling Network

no code implementations7 Jun 2023 Mengxi Guo, Shijie Zhao, Hao Jiang, Junlin Li, Li Zhang

Most video platforms provide video streaming services with different qualities, and the quality of the services is usually adjusted by the resolution of the videos.

Video Compression

OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution

no code implementations26 Apr 2023 Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Qiufang Ma, Xuhan Sheng, Ming Cheng, Haoyu Ma, Shijie Zhao, Jian Zhang, Junlin Li, Li Zhang

Model A aims to enhance the feature extraction ability of 360{\deg} image positional information, while Model B further focuses on the high-frequency information of 360{\deg} images.

Image Super-Resolution

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling

1 code implementation4 Mar 2023 Jinhai Yang, Mengxi Guo, Shijie Zhao, Junlin Li, Li Zhang

In this paper, we propose the Self-Asymmetric Invertible Network (SAIN) for compression-aware image rescaling.

Image Compression

Panoramic Video Salient Object Detection with Ambisonic Audio Guidance

no code implementations26 Nov 2022 Xiang Li, Haoyuan Cao, Shijie Zhao, Junlin Li, Li Zhang, Bhiksha Raj

In this paper, we aim to tackle the video salient object detection problem for panoramic videos, with their corresponding ambisonic audios.

object-detection Salient Object Detection +1

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention

1 code implementation19 May 2022 Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge

More importantly, our proposed hybrid attention modules (SA and CA) do not enforce assumptions of linearity and independence as previous methods, and thus provide a novel approach to better understanding dynamic functional brain networks.

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)

no code implementations31 May 2018 Yu Zhao, Xiang Li, Wei zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu

Simultaneous modeling of the spatio-temporal variation patterns of brain functional network from 4D fMRI data has been an important yet challenging problem for the field of cognitive neuroscience and medical image analysis.

Brain Decoding

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