1 code implementation • 12 Mar 2023 • Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang
In this paper, we present a new continual learning approach for visual dynamics modeling and explore its efficacy in visual control and forecasting.
2 code implementations • 27 Jul 2022 • Geng Chen, Si-Jie Liu, Yu-Jia Sun, Ge-Peng Ji, Ya-Feng Wu, Tao Zhou
To address these challenges, we propose a novel Context-aware Cross-level Fusion Network (C2F-Net), which fuses context-aware cross-level features for accurately identifying camouflaged objects.
1 code implementation • CVPR 2022 • Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang
Can we develop predictive learning algorithms that can deal with more realistic, non-stationary physical environments?
4 code implementations • 27 Mar 2022 • Ge-Peng Ji, Guobao Xiao, Yu-Cheng Chou, Deng-Ping Fan, Kai Zhao, Geng Chen, Luc van Gool
We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era.
Ranked #1 on Video Polyp Segmentation on SUN-SEG-Easy (Unseen)
3 code implementations • ICCV 2021 • Tao Zhou, Deng-Ping Fan, Geng Chen, Yi Zhou, Huazhu Fu
To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level information.
1 code implementation • 27 Jun 2021 • Chun-Mei Feng, Yunlu Yan, Geng Chen, Yong Xu, Ling Shao, Huazhu Fu
To this end, we propose a multi-modal transformer (MTrans), which is capable of transferring multi-scale features from the target modality to the auxiliary modality, for accelerated MR imaging.
2 code implementations • 26 May 2021 • Yujia Sun, Geng Chen, Tao Zhou, Yi Zhang, Nian Liu
Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings.
3 code implementations • 18 May 2021 • Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao
Existing video polyp segmentation (VPS) models typically employ convolutional neural networks (CNNs) to extract features.
Ranked #5 on Video Polyp Segmentation on SUN-SEG-Easy (Unseen)
1 code implementation • 28 Apr 2021 • Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Deforges, Wassim Hamidouche, Lu Zhang
We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms.
1 code implementation • 12 Apr 2021 • Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao
We evaluate the performance of the proposed model on the acceleration of multi-coil MR image reconstruction.
no code implementations • 8 Feb 2021 • Hong-Bo Bi, Zi-Qi Liu, Kang Wang, Bo Dong, Geng Chen, Ji-Quan Ma
In this paper, we propose Complementary Attention and Adaptive Integration Network (CAAI-Net), a novel RGB-D saliency detection model that integrates complementary attention based feature concentration and adaptive cross-modal feature fusion into a unified framework for accurate saliency detection.
no code implementations • 14 Jan 2021 • Bo Dong, Mingchen Zhuge, Yongxiong Wang, Hongbo Bi, Geng Chen
Our method detects camouflaged objects with an effective fusion strategy, which aggregates the rich context information from a large receptive field.
no code implementations • 12 Jan 2021 • Geng Chen, Peirong Guo
We introduce the Information Fusion Module (IFM) which provides a channel for information flow to help different columns to obtain significant information from another column.
1 code implementation • 4 Nov 2020 • Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, LingShao
Finally, we propose an effective layer-wise aggregation module to fuse the features extracted from the enhanced depth maps and RGB images for the accurate detection of salient objects.
no code implementations • 9 Oct 2020 • Geng Chen, Sam G. Krupa, Alexis F. Vasseur
As a consequence of our result, the Tame Oscillation Condition, and the Bounded Variation Condition on space-like curves are not necessary for the uniqueness of solutions in the $BV$ theory, in the case of systems with 2 unknowns.
Analysis of PDEs 35L65 (Primary) 76N15, 35L45, 35B35 (Secondary)
4 code implementations • 13 Jun 2020 • Deng-Ping Fan, Ge-Peng Ji, Tao Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
To address these challenges, we propose a parallel reverse attention network (PraNet) for accurate polyp segmentation in colonoscopy images.
Ranked #4 on Camouflaged Object Segmentation on CAMO (using extra training data)
3 code implementations • 22 Apr 2020 • Deng-Ping Fan, Tao Zhou, Ge-Peng Ji, Yi Zhou, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis.
no code implementations • 25 Feb 2020 • Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap
Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways.
2 code implementations • 11 Feb 2020 • Tao Zhou, Huazhu Fu, Geng Chen, Jianbing Shen, Ling Shao
Medical image synthesis has been proposed as an effective solution to this, where any missing modalities are synthesized from the existing ones.
no code implementations • 7 Jun 2019 • Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen
GCNNs are capable of extracting the geometric features of each fiber tract and harnessing the resulting features for accurate fiber parcellation and ultimately avoiding the use of atlases and any registration method.