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09/05/2023
Towards Understanding of Deepfake Videos in the Wild
Deepfakes have become a growing concern in recent years, prompting resea...
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05/24/2023
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Understanding the interaction between multiple agents is crucial for rea...
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12/06/2022
Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks
This paper proposes a graph-based approach to representing spatio-tempor...
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11/14/2022
A deep learning framework to generate realistic population and mobility data
Census and Household Travel Survey datasets are regularly collected from...
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08/18/2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
We present a novel semi-supervised learning framework that intelligently...
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06/26/2022
Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches
This paper addresses the problem of estimating link flows in a road netw...
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04/05/2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Establishing dense correspondences across semantically similar images is...
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03/30/2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Establishing dense correspondences across semantically similar images re...
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01/25/2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Semi-supervised learning (SSL) has recently proven to be an effective pa...
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08/26/2021
A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts
Theory-of-mind (ToM), a human ability to infer the intentions and though...
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08/07/2020
Associative Partial Domain Adaptation
Partial Adaptation (PDA) addresses a practical scenario in which the tar...
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07/28/2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning
Recently, there are an abundant amount of urban vehicle trajectory data ...
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07/10/2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization
Training a deep neural network with a small amount of data is a challeng...
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03/09/2020
Restore from Restored: Video Restoration with Pseudo Clean Video
In this paper, we propose a self-supervised video denoising method calle...
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03/09/2020
Restore from Restored: Single Image Denoising with Pseudo Clean Image
Under certain statistical assumptions of noise (e.g., zero-mean noise), ...
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01/09/2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Conventional supervised super-resolution (SR) approaches are trained wit...
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01/09/2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning
Under certain statistical assumptions of noise, recent self-supervised a...
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06/18/2019
Key Instance Selection for Unsupervised Video Object Segmentation
This paper proposes key instance selection based on video saliency cover...
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06/05/2019
Discriminative Few-Shot Learning Based on Directional Statistics
Metric-based few-shot learning methods try to overcome the difficulty du...
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12/18/2018
Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction
As the number of various positioning sensors and location-based devices ...
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06/20/2018
Doubly Nested Network for Resource-Efficient Inference
We propose doubly nested network(DNNet) where all neurons represent thei...
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06/11/2018
Meta Continual Learning
Using neural networks in practical settings would benefit from the abili...
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06/11/2018
Auto-Meta: Automated Gradient Based Meta Learner Search
Fully automating machine learning pipeline is one of the outstanding cha...
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07/31/2017
Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks
Learning to transfer visual attributes requires supervision dataset. Cor...
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06/26/2017
End-to-end Learning of Image based Lane-Change Decision
We propose an image based end-to-end learning framework that helps lane-...
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05/24/2017
Continual Learning with Deep Generative Replay
Attempts to train a comprehensive artificial intelligence capable of sol...
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03/15/2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
While humans easily recognize relations between data from different doma...
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11/14/2015
