activity
20192021
most citedMTRNet: A Generic Scene Text Eraser

51 citations · 137 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2021★ 11 cited

SoT: Delving Deeper into Classification Head for Transformer

Jiangtao Xie, Ruiren Zeng, Qilong Wang +2

Transformer models are not only successful in natural language processing (NLP) but also demonstrate high potential in computer vision (CV). Despite great advance, most of works on…

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★ 48 cited

MTRNet++: One-stage Mask-based Scene Text Eraser

Osman Tursun, Simon Denman, Rui Zeng +3

A precise, controllable, interpretable and easily trainable text removal approach is necessary for both user-specific and large-scale text removal applications. To achieve this, we…

eess.IV2019★ 14 cited

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-ray Data Augmentation

Yunyan Xing, Zongyuan Ge, Rui Zeng +4

Recent works show that Generative Adversarial Networks (GANs) can be successfully applied to chest X-ray data augmentation for lung disease recognition. However, the implausible an…

cs.CV2019★ 2 cited

Geometry-constrained Car Recognition Using a 3D Perspective Network

Rui Zeng, Zongyuan Ge, Simon Denman +2

We present a novel learning framework for vehicle recognition from a single RGB image. Unlike existing methods which only use attention mechanisms to locate 2D discriminative infor…

cs.CV2019★ 51 cited

MTRNet: A Generic Scene Text Eraser

Osman Tursun, Rui Zeng, Simon Denman +3

Text removal algorithms have been proposed for uni-lingual scripts with regular shapes and layouts. However, to the best of our knowledge, a generic text removal method which is ab…