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09/19/2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition
Fine-grained open-set recognition (FineOSR) aims to recognize images bel...
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09/18/2023
On Model Explanations with Transferable Neural Pathways
Neural pathways as model explanations consist of a sparse set of neurons...
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06/19/2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice
Evidential deep learning, built upon belief theory and subjective logic,...
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11/30/2022
Evidential Conditional Neural Processes
The Conditional Neural Process (CNP) family of models offer a promising ...
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08/23/2022
Towards Open Set Video Anomaly Detection
Open Set Video Anomaly Detection (OpenVAD) aims to identify abnormal eve...
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08/15/2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Recent years have seen a surge in research on dynamic graph representati...
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06/12/2022
Balancing Bias and Variance for Active Weakly Supervised Learning
As a widely used weakly supervised learning scheme, modern multiple inst...
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05/05/2022
Spiking Graph Convolutional Networks
Graph Convolutional Networks (GCNs) achieve an impressive performance du...
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04/03/2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
We present a novel dynamic recommendation model that focuses on users wh...
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03/24/2022
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
Multiple-instance learning (MIL) provides an effective way to tackle the...
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03/23/2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning
Optimization-based meta-learning offers a promising direction for few-sh...
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03/10/2022
OpenTAL: Towards Open Set Temporal Action Localization
Temporal Action Localization (TAL) has experienced remarkable success un...
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11/21/2021
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a sp...
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07/21/2021
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Traffic accident anticipation aims to accurately and promptly predict th...
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07/21/2021
Evidential Deep Learning for Open Set Action Recognition
In a real-world scenario, human actions are typically out of the distrib...
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08/01/2020
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
Traffic accident anticipation aims to predict accidents from dashcam vid...
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07/20/2020
Object-Aware Centroid Voting for Monocular 3D Object Detection
Monocular 3D object detection aims to detect objects in a 3D physical wo...
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04/23/2020
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility
When self-adaptive systems encounter changes within their surrounding en...
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02/15/2020
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education
Studies indicate that much of the software created today is not accessib...
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06/24/2019
Dictionary Learning with BLOTLESS Update
Algorithms for learning a dictionary under which a data in a given set h...
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05/23/2016