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05/25/2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
Adversarial detection aims to determine whether a given sample is an adv...
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03/27/2023
Towards Open Temporal Graph Neural Networks
Graph neural networks (GNNs) for temporal graphs have recently attracted...
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06/08/2022
Blind Face Restoration: Benchmark Datasets and a Baseline Model
Blind Face Restoration (BFR) aims to construct a high-quality (HQ) face ...
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05/10/2021
Action Shuffling for Weakly Supervised Temporal Localization
Weakly supervised action localization is a challenging task with extensi...
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05/09/2021
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Rain is a common natural phenomenon. Taking images in the rain however o...
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03/21/2021
Deep Dense Multi-scale Network for Snow Removal Using Semantic and Geometric Priors
Images captured in snowy days suffer from noticeable degradation of scen...
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12/09/2020
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Active learning generally involves querying the most representative samp...
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07/27/2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
In this paper, we present a novel deep metric learning method to tackle ...
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11/27/2019
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
The point process is a solid framework to model sequential data, such as...
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03/11/2019
Similarity Learning via Kernel Preserving Embedding
Data similarity is a key concept in many data-driven applications. Many ...
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02/20/2019
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Action recognition in videos has attracted a lot of attention in the pas...
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01/05/2017
Autoencoder Regularized Network For Driving Style Representation Learning
In this paper, we study learning generalized driving style representatio...
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07/13/2016
