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09/07/2023
Chasing Consistency in Text-to-3D Generation from a Single Image
Text-to-3D generation from a single-view image is a popular but challeng...
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08/23/2023
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval
Text-Pedestrian Image Retrieval aims to use the text describing pedestri...
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07/22/2023
Prototype-Driven and Multi-Expert Integrated Multi-Modal MR Brain Tumor Image Segmentation
For multi-modal magnetic resonance (MR) brain tumor image segmentation, ...
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07/13/2023
Free-Form Composition Networks for Egocentric Action Recognition
Egocentric action recognition is gaining significant attention in the fi...
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07/08/2023
Adversarial Self-Attack Defense and Spatial-Temporal Relation Mining for Visible-Infrared Video Person Re-Identification
In visible-infrared video person re-identification (re-ID), extracting f...
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07/18/2022
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Graph Neural Networks (GNNs) tend to suffer from high computation costs ...
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08/21/2020
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples
Domain adaptation aims to generalize a model from a source domain to tac...
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10/22/2019
Hetero-Center Loss for Cross-Modality Person Re-Identification
Cross-modality person re-identification is a challenging problem which r...
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06/24/2019
Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
An increasing number of well-trained deep networks have been released on...
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04/23/2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
In this paper, we investigate a novel deep-model reusing task. Our goal ...
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03/06/2019
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification
Two-stream architecture have shown strong performance in video classific...
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06/21/2018
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition
Recently, manifold regularized semi-supervised learning (MRSSL) received...
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04/22/2018
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Discriminative features are critical for machine learning applications. ...
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08/07/2016
