Search Results for author: Tianren Wang

Found 4 papers, 1 papers with code

Few-Shot Class-Incremental Learning from an Open-Set Perspective

1 code implementation30 Jul 2022 Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell

The continual appearance of new objects in the visual world poses considerable challenges for current deep learning methods in real-world deployments.

Data Augmentation Face Recognition +2

FaceCook: Face Generation Based on Linear Scaling Factors

no code implementations8 Sep 2021 Tianren Wang, Can Peng, Teng Zhang, Brian Lovell

With the excellent disentanglement properties of state-of-the-art generative models, image editing has been the dominant approach to control the attributes of synthesised face images.

Disentanglement Diversity +1

DIODE: Dilatable Incremental Object Detection

no code implementations12 Aug 2021 Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell

In this paper, we aim to alleviate this performance decay on multi-step incremental detection tasks by proposing a dilatable incremental object detector (DIODE).

Incremental Learning Object +2

Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement

no code implementations13 Jun 2020 Tianren Wang, Teng Zhang, Brian Lovell

Text-to-Face (TTF) synthesis is a challenging task with great potential for diverse computer vision applications.

Attribute Disentanglement +3

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