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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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05/04/2023
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
The popular VQ-VAE models reconstruct images through learning a discrete...
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06/09/2022
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Online action detection is the task of predicting the action as soon as ...
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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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03/30/2022
Learning of Global Objective for Network Flow in Multi-Object Tracking
This paper concerns the problem of multi-object tracking based on the mi...
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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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02/02/2022
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients
Deep learning models have been shown to be vulnerable to adversarial att...
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12/18/2021
Adversarial Memory Networks for Action Prediction
Action prediction aims to infer the forthcoming human action with partia...
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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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07/09/2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems
Widely deployed deep neural network (DNN) models have been proven to be ...
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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
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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11/25/2019
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
The accuracy of OCR is usually affected by the quality of the input docu...
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07/04/2019
Edge-Aware Deep Image Deblurring
Image deblurring is a fundamental and challenging low-level vision probl...
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12/25/2018
Residual Dense Network for Image Restoration
Convolutional neural network has recently achieved great success for ima...
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06/28/2018
Human Action Recognition and Prediction: A Survey
Derived from rapid advances in computer vision and machine learning, vid...
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02/24/2018