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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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07/17/2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
Hand trajectory forecasting from egocentric views is crucial for enablin...
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05/23/2023
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
The compositional zero-shot learning (CZSL) task aims to recognize unsee...
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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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03/10/2022
OpenTAL: Towards Open Set Temporal Action Localization
Temporal Action Localization (TAL) has experienced remarkable success un...
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11/01/2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models
In many applications, it is essential to understand why a machine learni...
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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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08/06/2020
Group Activity Prediction with Sequential Relational Anticipation Model
In this paper, we propose a novel approach to predict group activities g...
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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
