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08/23/2023
Trustworthy Representation Learning Across Domains
As AI systems have obtained significant performance to be deployed widel...
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06/28/2023
Continuous-Time q-learning for McKean-Vlasov Control Problems
This paper studies the q-learning, recently coined as the continuous-tim...
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03/25/2023
Selective Structured State-Spaces for Long-Form Video Understanding
Effective modeling of complex spatiotemporal dependencies in long-form v...
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08/03/2022
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification
In recent years, convolutional neural networks (CNNs) have shown great p...
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03/24/2022
GraphCoCo: Graph Complementary Contrastive Learning
Graph Contrastive Learning (GCL) has shown promising performance in grap...
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08/26/2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning transferable and domain adaptive feature representations from v...
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03/12/2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Face recognition models trained under the assumption of identical traini...
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02/04/2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs i...
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11/28/2020
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
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11/24/2020
WeiPS: a symmetric fusion model framework for large-scale online learning
The recommendation system is an important commercial application of mach...
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10/09/2020
Voting-based Approaches For Differentially Private Federated Learning
While federated learning (FL) enables distributed agents to collaborativ...
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07/14/2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
While deep face recognition has benefited significantly from large-scale...
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06/24/2020
Teamwise Mean Field Competitions
This paper studies competitions with rank-based reward among a large num...
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06/09/2020
A refined dynamic finite-strain shell theory for incompressible hyperelastic materials: equations and two-dimensional shell virtual work principle
Based on previous work for the static problem, in this paper we first de...
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02/26/2020
Towards Universal Representation Learning for Deep Face Recognition
Recognizing wild faces is extremely hard as they appear with all kinds o...
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12/07/2019
DAVID: Dual-Attentional Video Deblurring
Blind video deblurring restores sharp frames from a blurry sequence with...
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07/24/2019
Pose-variant 3D Facial Attribute Generation
We address the challenging problem of generating facial attributes using...
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02/11/2019
Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles
Trust management of Internet of connected vehicles has been a hot topic ...
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11/07/2018
IMS at the PolEval 2018: A Bulky Ensemble Depedency Parser meets 12 Simple Rules for Predicting Enhanced Dependencies in Polish
This paper presents the IMS contribution to the PolEval 2018 Shared Task...
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08/27/2018
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
We propose a machine reading comprehension model based on the compare-ag...
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03/23/2018
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data
Real-world face recognition datasets exhibit long-tail characteristics, ...
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02/28/2018
Joint Pixel and Feature-level Domain Adaptation in the Wild
Recent developments in deep domain adaptation have allowed knowledge tra...
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01/08/2018
Deep Supervision with Intermediate Concepts
Recent data-driven approaches to scene interpretation predominantly pose...
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08/07/2017
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Despite rapid advances in face recognition, there remains a clear gap be...
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06/06/2017
A General-Purpose Tagger with Convolutional Neural Networks
We present a general-purpose tagger based on convolutional neural networ...
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05/30/2017
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
We present a transition-based dependency parser that uses a convolutiona...
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02/10/2017
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Deep neural networks (DNNs) trained on large-scale datasets have recentl...
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12/08/2016