1 code implementation • ICCV 2017 • Jianlong Chang, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
The main challenge is that the ground-truth similarities are unknown in image clustering.
Ranked #8 on Image Clustering on Tiny-ImageNet
1 code implementation • 30 Jul 2018 • Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan
Specifically, for confusing manmade objects, ScasNet improves the labeling coherence with sequential global-to-local contexts aggregation.
1 code implementation • NeurIPS 2018 • Jianlong Chang, Jie Gu, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Convolutional neural networks (CNNs) are inherently subject to invariable filters that can only aggregate local inputs with the same topological structures.
no code implementations • 5 May 2019 • Jianlong Chang, Yiwen Guo, Lingfeng Wang, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Traditional clustering methods often perform clustering with low-level indiscriminative representations and ignore relationships between patterns, resulting in slight achievements in the era of deep learning.
no code implementations • IJCNLP 2019 • Xinyu Xiao, Lingfeng Wang, Bin Fan, Shinming Xiang, Chunhong Pan
To address these problems, we propose an Adaptive Semantic Guidance Network (ASGN), which instantiates the whole video semantics to different POS-aware semantics with the supervision of part of speech (POS) tag.
1 code implementation • 9 Jul 2021 • Lingfeng Wang, Shisen Wang, Jin Qi, Kenji Suzuki
To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data.
1 code implementation • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022 • Tai An, Xin Zhang, Chunlei Huo, Bin Xue, Lingfeng Wang, Chunhong Pan
In addition, TR-MISR adopts an additional learnable embedding vector that fuses these vectors to restore the details to the greatest extent. TR-MISR has successfully applied the transformer to MISR tasks for the first time, notably reducing the difficulty of training the transformer by ignoring the spatial relations of image patches.
Ranked #1 on Multi-Frame Super-Resolution on PROBA-V
no code implementations • 24 Mar 2022 • Lingfeng Wang, Shisen Wang, Jin Qi
Facial Action Coding System is an important approach of facial expression analysis. This paper describes our submission to the third Affective Behavior Analysis (ABAW) 2022 competition.
no code implementations • 20 Jul 2022 • Lingfeng Wang, Haocheng Li, Chunyin Liu
This paper describes our submission to the fourth Affective Behavior Analysis (ABAW) competition.