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09/02/2023
Big-model Driven Few-shot Continual Learning
Few-shot continual learning (FSCL) has attracted intensive attention and...
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08/17/2023
Edit Temporal-Consistent Videos with Image Diffusion Model
Large-scale text-to-image (T2I) diffusion models have been extended for ...
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08/16/2023
Dual-Stream Diffusion Net for Text-to-Video Generation
With the emerging diffusion models, recently, text-to-video generation h...
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03/24/2023
Decoupled Multimodal Distilling for Emotion Recognition
Human multimodal emotion recognition (MER) aims to perceive human emotio...
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03/22/2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
Weakly Supervised Video Anomaly Detection (WSVAD) is challenging because...
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09/27/2022
Spatio-Temporal Relation Learning for Video Anomaly Detection
Anomaly identification is highly dependent on the relationship between t...
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04/14/2022
A collaborative decomposition-based evolutionary algorithm integrating normal and penalty-based boundary intersection for many-objective optimization
Decomposition-based evolutionary algorithms have become fairly popular f...
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08/11/2021
Learning Fair Face Representation With Progressive Cross Transformer
Face recognition (FR) has made extraordinary progress owing to the advan...
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07/14/2021
Graph Jigsaw Learning for Cartoon Face Recognition
Cartoon face recognition is challenging as they typically have smooth co...
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06/10/2021
Consistent Instance False Positive Improves Fairness in Face Recognition
Demographic bias is a significant challenge in practical face recognitio...
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04/14/2021
Global Information Guided Video Anomaly Detection
Video anomaly detection (VAD) is currently a challenging task due to the...
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09/03/2020
Spatial Transformer Point Convolution
Point clouds are unstructured and unordered in the embedded 3D space. In...
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08/20/2020
Localizing Anomalies from Weakly-Labeled Videos
Video anomaly detection under video-level labels is currently a challeng...
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09/16/2019
Pose Neural Fabrics Search
Neural Architecture Search (NAS) technologies have been successfully per...
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06/08/2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
In this paper, we propose a novel Pattern-Affinitive Propagation (PAP) f...
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12/19/2018
Cross-Database Micro-Expression Recognition: A Benchmark
Cross-database micro-expression recognition (CDMER) is one of recently e...
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11/30/2018
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning
Cross-database non-frontal expression recognition is a very meaningful b...
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11/11/2018
Gaussian-Induced Convolution for Graphs
Learning representation on graph plays a crucial role in numerous tasks ...
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09/11/2018
Context-Dependent Diffusion Network for Visual Relationship Detection
Visual relationship detection can bridge the gap between computer vision...
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07/07/2018
When Work Matters: Transforming Classical Network Structures to Graph CNN
Numerous pattern recognition applications can be formed as learning from...
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04/16/2018
Walk-Steered Convolution for Graph Classification
Graph classification is a fundamental but challenging problem due to the...
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03/27/2018
Tensor graph convolutional neural network
In this paper, we propose a novel tensor graph convolutional neural netw...
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02/27/2018
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
Variations of human body skeletons may be considered as dynamic graphs, ...
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11/17/2017
Action-Attending Graphic Neural Network
The motion analysis of human skeletons is crucial for human action recog...
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07/26/2017
Learning a Target Sample Re-Generator for Cross-Database Micro-Expression Recognition
In this paper, we investigate the cross-database micro-expression recogn...
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07/18/2017
Spectral Filter Tracking
Visual object tracking is a challenging computer vision task with numero...
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05/30/2017
Deep manifold-to-manifold transforming network for action recognition
Symmetric positive definite (SPD) matrices (e.g., covariances, graph Lap...
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05/12/2017
Spatial-Temporal Recurrent Neural Network for Emotion Recognition
Emotion analysis is a crucial problem to endow artifact machines with re...
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02/10/2014
