Kai Wang

According to our database, Kai Wang authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Diffusion-based network for unsupervised landmark detection.

Tao Wu, Kai Wang, Chuanming Tang, Jianlin Zhang

Knowl. Based Syst., 2024

LocInv: Localization-aware Inversion for Text-Guided Image Editing.

Chuanming Tang, Kai Wang, Fei Yang, Joost van de Weijer

CoRR, 2024

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning.

Alex Gomez-Villa, Bartlomiej Twardowski, Kai Wang, Joost van de Weijer

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

NeRF-Diffusion for 3D-Consistent Face Generation and Editing.

Héctor Laria Mantecon, Kai Wang, Joost van de Weijer, Bogdan Raducanu, Yaxing Wang

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

IterInv: Iterative Inversion for Pixel-Level T2I Models.

Chuanming Tang, Kai Wang, Joost van de Weijer

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Exemplar-Free Continual Representation Learning via Learnable Drift Compensation.

Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer

Proceedings of the Computer Vision - ECCV 2024, 2024

ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement.

Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer

Proceedings of the Computer Vision - ECCV 2024, 2024

GRIF-DM: Generation of Rich Impression Fonts Using Diffusion Models.

Lei Kang, Fei Yang, Kai Wang, Mohamed Ali Souibgui, Lluís Gómez, Alicia Fornés, Ernest Valveny, Dimosthenis Karatzas

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Exploiting Image-Related Inductive Biases in Single-Branch Visual Tracking.

Chuanming Tang, Kai Wang, Joost van de Weijer, Jianlin Zhang, Yongmei Huang

CoRR, 2023

Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing.

Kai Wang, Fei Yang, Shiqi Yang, Muhammad Atif Butt, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ScrollNet: Dynamic Weight Importance for Continual Learning.

Fei Yang, Kai Wang, Joost van de Weijer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Continual learning for hierarchical classification, few-shot recognition, and multi-modal learning

Kai Wang

PhD thesis, 2022

One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift.

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

CoRR, 2022

Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation.

Shiqi Yang, Yaxing Wang, Kai Wang, Shangling Jui, Joost van de Weijer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition.

Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification.

Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Attention Distillation: self-supervised vision transformer students need more guidance.

Kai Wang, Fei Yang, Joost van de Weijer

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

On Implicit Attribute Localization for Generalized Zero-Shot Learning.

Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

IEEE Signal Process. Lett., 2021

ACAE-REMIND for online continual learning with compressed feature replay.

Kai Wang, Joost van de Weijer, Luis Herranz

Pattern Recognit. Lett., 2021

Continual Learning in Cross-Modal Retrieval.

Kai Wang, Luis Herranz, Joost van de Weijer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification.

Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Bookworm continual learning: beyond zero-shot learning and continual learning.

Kai Wang, Luis Herranz, Anjan Dutta, Joost van de Weijer

CoRR, 2020

Simple and effective localized attribute representations for zero-shot learning.

Shiqi Yang, Kai Wang, Luis Herranz, Joost van de Weijer

CoRR, 2020

Semantic Drift Compensation for Class-Incremental Learning.

Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task.

Ozan Caglayan, Adrien Bardet, Fethi Bougares, Loïc Barrault, Kai Wang, Marc Masana, Luis Herranz, Joost van de Weijer

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018