no code implementations • 4 Feb 2024 • Lu Qi, Yi-Wen Chen, Lehan Yang, Tiancheng Shen, Xiangtai Li, Weidong Guo, Yu Xu, Ming-Hsuan Yang
In this work, we propose a novel approach to densely ground visual entities from a long caption.
1 code implementation • 6 Nov 2023 • Hao Zhou, Tiancheng Shen, Xu Yang, Hai Huang, Xiangtai Li, Lu Qi, Ming-Hsuan Yang
We benchmarked the proposed evaluation metrics on 12 open-vocabulary methods of three segmentation tasks.
no code implementations • ICCV 2023 • Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
Given the high-quality and -resolution nature of the dataset, we propose CropFormer which is designed to tackle the intractability of instance-level segmentation on high-resolution images.
1 code implementation • 10 Nov 2022 • Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang
It improves mask prediction by fusing high-res image crops that provide more fine-grained image details and the full image.
1 code implementation • 2 Jun 2022 • Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia
Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-quality representation of 3D scenes.
no code implementations • CVPR 2022 • Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia
Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-quality representation of 3D scenes.
1 code implementation • CVPR 2022 • Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia
To segment 4K or 6K ultra high-resolution images needs extra computation consideration in image segmentation.
1 code implementation • 8 Apr 2021 • Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma
Spherical signals exist in many applications, e. g., planetary data, LiDAR scans and digitalization of 3D objects, calling for models that can process spherical data effectively.
no code implementations • CVPR 2020 • Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
The convolution operation suffers from a limited receptive filed, while global modeling is fundamental to dense prediction tasks, such as semantic segmentation.
no code implementations • 23 Nov 2019 • Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin
We establish a stability condition for ResNets with step sizes and weight parameters, and point out the effects of step sizes on the stability and performance.
no code implementations • NeurIPS 2018 • Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang
To solve these problems, we propose the Super-Resolution CliqueNet (SRCliqueNet) to reconstruct the high resolution (HR) image with better textural details in the wavelet domain.
3 code implementations • CVPR 2018 • Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin
In contrast to prior networks, there are both forward and backward connections between any two layers in the same block.