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20182022
most citedDeep Learning for Deepfakes Creation and Detection: A Survey

449 citations · 476 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

Tien-Phat Nguyen, Trong-Thang Pham, Tri Nguyen +7

The timing of cell divisions in early embryos during the In-Vitro Fertilization (IVF) process is a key predictor of embryo viability. However, observing cell divisions in Time-Laps…

cs.CV2020★ 16 cited

Facial UV Map Completion for Pose-invariant Face Recognition: A Novel Adversarial Approach based on Coupled Attention Residual UNets

In Seop Na, Chung Tran, Dung Nguyen +1

Pose-invariant face recognition refers to the problem of identifying or verifying a person by analyzing face images captured from different poses. This problem is challenging due t…

cs.CV2020

Meta Transfer Learning for Emotion Recognition

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +3

Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient annotated emotion datasets, p…

cs.CV2020★ 1 cited

Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition

Dung Nguyen, Duc Thanh Nguyen, Rui Zeng +5

Multimodal dimensional emotion recognition has drawn a great attention from the affective computing community and numerous schemes have been extensively investigated, making a sign…

cs.CV2020★ 10 cited

Joint Deep Cross-Domain Transfer Learning for Emotion Recognition

Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +4

Deep learning has been applied to achieve significant progress in emotion recognition. Despite such substantial progress, existing approaches are still hindered by insufficient tra…

cs.CV2019★ 449 cited

Deep Learning for Deepfakes Creation and Detection: A Survey

Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6

Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances how…

cs.CV2018

Learning to Attend Relevant Regions in Videos from Eye Fixations

Thanh T. Nguyen, Dung Nguyen

Attentively important regions in video frames account for a majority part of the semantics in each frame. This information is helpful in many applications not only for entertainmen…