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09/15/2023
ECEA: Extensible Co-Existing Attention for Few-Shot Object Detection
Few-shot object detection (FSOD) identifies objects from extremely few a...
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09/15/2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
The challenge in fine-grained visual categorization lies in how to explo...
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09/06/2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing
In recent years, graph neural networks (GNN) have achieved significant d...
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08/19/2023
EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning
Zero-shot learning (ZSL) aims to recognize the novel classes which canno...
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06/08/2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC) is a challenging task due to s...
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06/04/2023
CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization
Data is the foundation for the development of computer vision, and the e...
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04/11/2023
Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
With the fast development of AI-related techniques, the applications of ...
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02/16/2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features
Graph neural networks (GNNs) with missing node features have recently re...
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09/26/2022
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval
Hashing that projects data into binary codes has shown extraordinary tal...
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09/26/2022
Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval
Zero-shot cross-modal retrieval (ZS-CMR) deals with the retrieval proble...
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08/28/2022
Leachable Component Clustering
Clustering attempts to partition data instances into several distinctive...
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04/21/2022
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
Fine-grained visual categorization (FGVC) aims to discriminate similar s...
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03/07/2022
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning
The key challenge of zero-shot learning (ZSL) is how to infer the latent...
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02/17/2022
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces
Trajectory prediction aims to predict the movement trend of the agents l...
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12/16/2021
TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
Zero-shot learning (ZSL) tackles the novel class recognition problem by ...
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10/14/2021
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Learning to understand and predict future motions or behaviors for agent...
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07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
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07/02/2021
MSN: Multi-Style Network for Trajectory Prediction
It is essential but challenging to predict future trajectories of variou...
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11/16/2020
Adaptive Matching of Kernel Means
As a promising step, the performance of data analysis and feature learni...
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10/08/2020
BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction
Visual images usually contain the informative context of the environment...
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08/21/2020
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Generative adversarial networks (GANs) have been a popular deep generati...
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03/22/2020
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning
Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential ...
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03/13/2020
A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction
It remains challenging to automatically predict the multi-agent trajecto...
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11/11/2019
Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis
Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
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05/29/2019
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation
Weakly-supervised semantic segmentation aims to assign each pixel a sema...
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03/21/2019
Fast and accurate reconstruction of HARDI using a 1D encoder-decoder convolutional network
High angular resolution diffusion imaging (HARDI) demands a lager amount...
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01/05/2019
Fully-automatic segmentation of kidneys in clinical ultrasound images using a boundary distance regression network
It remains challenging to automatically segment kidneys in clinical ultr...
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11/19/2018
Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling
It remains a huge challenge to design effective and efficient trackers u...
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11/12/2018
Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images
It remains challenging to automatically segment kidneys in clinical ultr...
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07/26/2018
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
Fine-grained visual recognition is challenging because it highly relies ...
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05/21/2018
Coarse-to-Fine Salient Object Detection with Low-Rank Matrix Recovery
Despite the great potential of using the low-rank matrix recovery (LRMR)...
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05/14/2018
Multi-view Common Component Discriminant Analysis for Cross-view Classification
Cross-view classification that means to classify samples from heterogene...
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04/19/2018