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04/12/2023
Rail Detection: An Efficient Row-based Network and A New Benchmark
Rail detection, essential for railroad anomaly detection, aims to identi...
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12/06/2022
IncepFormer: Efficient Inception Transformer with Pyramid Pooling for Semantic Segmentation
Semantic segmentation usually benefits from global contexts, fine locali...
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11/12/2022
AU-Aware Vision Transformers for Biased Facial Expression Recognition
Studies have proven that domain bias and label bias exist in different F...
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07/20/2022
AU-Supervised Convolutional Vision Transformers for Synthetic Facial Expression Recognition
The paper describes our proposed methodology for the six basic expressio...
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07/08/2022
Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework
Automatic smoky vehicle detection in videos is a superior solution to th...
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04/25/2022
Video Frame Interpolation Based on Deformable Kernel Region
Video frame interpolation task has recently become more and more prevale...
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01/28/2022
Stereo Matching with Cost Volume based Sparse Disparity Propagation
Stereo matching is crucial for binocular stereo vision. Existing methods...
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12/10/2021
Self-Ensemling for 3D Point Cloud Domain Adaption
Recently 3D point cloud learning has been a hot topic in computer vision...
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07/12/2021
Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos
The paper describes our proposed methodology for the seven basic express...
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05/21/2021
An Efficient Training Approach for Very Large Scale Face Recognition
Face recognition has achieved significant progress in deep-learning era ...
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04/07/2021
Affordance Transfer Learning for Human-Object Interaction Detection
Reasoning the human-object interactions (HOI) is essential for deeper sc...
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03/15/2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Human-Object Interaction (HOI) detection, inferring the relationships be...
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03/08/2021
Unsupervised Person Re-Identification with Multi-Label Learning Guided Self-Paced Clustering
Although unsupervised person re-identification (Re-ID) has drawn increas...
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12/27/2020
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
The audio-video based emotion recognition aims to classify a given video...
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12/18/2020
AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition
The domain diversities including inconsistent annotation and varied imag...
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10/29/2020
Suppressing Mislabeled Data via Grouping and Self-Attention
Deep networks achieve excellent results on large-scale clean data but de...
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07/24/2020
Visual Compositional Learning for Human-Object Interaction Detection
Human-Object interaction (HOI) detection aims to localize and infer rela...
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03/07/2020
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Video action anticipation aims to predict future action categories from ...
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02/24/2020
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
Annotating a qualitative large-scale facial expression dataset is extrem...
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01/21/2020
A Comprehensive Study on Temporal Modeling for Online Action Detection
Online action detection (OAD) is a practical yet challenging task, which...
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09/28/2019
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
Multi-label image recognition is a task that predicts a set of object la...
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07/26/2019
Product Image Recognition with Guidance Learning and Noisy Supervision
This paper considers recognizing products from daily photos, which is an...
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07/08/2019
Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression
This paper presents our approach for the engagement intensity regression...
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06/29/2019
frame attention networks for facial expression recognition in videos
The video-based facial expression recognition aims to classify a given v...
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05/10/2019
Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
Occlusion and pose variations, which can change facial appearance signif...
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03/21/2016
Frankenstein: Learning Deep Face Representations using Small Data
Deep convolutional neural networks have recently proven extremely effect...
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05/18/2014
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice
Video based action recognition is one of the important and challenging p...
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09/02/2013