Search Results for author:
Found 9 papers, 5 papers with code
Deep Adaptive Image Clustering
The main challenge is that the ground-truth similarities are unknown in image clustering.
Ranked #8 on
Image Clustering
on Tiny-ImageNet
TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
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
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Specifically, for confusing manmade objects, ScasNet improves the labeling coherence with sequential global-to-local contexts aggregation.
Structure-Aware Convolutional Neural Networks
Convolutional neural networks (CNNs) are inherently subject to invariable filters that can only aggregate local inputs with the same topological structures.
A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis
To tackle this problem, this paper presents a semi-supervised model with a mean teacher framework to leverage additional unlabeled data.
Deep Discriminative Clustering Analysis
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.
Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag
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.
Multi-modal Multi-label Facial Action Unit Detection with Transformer
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.
Hybrid CNN-Transformer Model For Facial Affect Recognition In the ABAW4 Challenge
This paper describes our submission to the fourth Affective Behavior Analysis (ABAW) competition.
