Guangzhi Wang

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Mohan KankanhalliProfessor of Computer Science, National University of SingaporeVerified email at comp.nus.edu.sg
Yixiao Ge (葛艺潇)Tencent ARC LabVerified email at tencent.com
Ying ShanDistinguished Scientist at Tencent, Director of ARC Lab & AI Lab CVCVerified email at tencent.com
Yangyang GuoNational University of SingaporeVerified email at nus.edu.sg
Yongkang WONGSenior Research Fellow, School of Computing, National University of SingaporeVerified email at ieee.org
Sicheng ZhaoTsinghua UniversityVerified email at tsinghua.edu.cn
Ziwei XuNational University of SingaporeVerified email at u.nus.edu
Tianyi ChenSenior Research Lead, Microsoft, Johns Hopkins UniversityVerified email at microsoft.com
Xiaohan DingBytedanceVerified email at mails.tsinghua.edu.cn
Hehe FanZhejiang UniversityVerified email at zju.edu.cn
Pengfei XuDidichuxing, Microsoft and Harbin Institute of Technology
Yuying GeTencent ARC LabVerified email at tencent.com

Guangzhi Wang

National University of Singapore

Verified email at u.nus.edu - Homepage

Computer Vision Vision and Language MLLM AIGC


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SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension B Li, R Wang, G Wang*, Y Ge, Y Ge, Y Shan arXiv preprint arXiv:2307.16125, 2023	432	2023
Multi-source distilling domain adaptation S Zhao, G Wang, S Zhang*, Y Gu, Y Li, Z Song, P Xu, R Hu, H Chai, ... AAAI 2020 (Oral), 2020	252	2020
SEED-Bench-2: Benchmarking multimodal large language models B Li, Y Ge, Y Ge, G Wang, R Wang, R Zhang, Y Shan CVPR 2024, 2023	125	2023
What Makes for Good Visual Tokenizers for Large Language Models? G Wang, Y Ge, X Ding, M Kankanhalli, Y Shan arXiv preprint arXiv:2305.12223, 2023	36	2023
Relation-aware compositional zero-shot learning for attribute-object pair recognition Z Xu, G Wang, Y Wong, MS Kankanhalli IEEE TMM 2022, 2021	29	2021
The efficiency spectrum of large language models: An algorithmic survey T Ding, T Chen, H Zhu, J Jiang, Y Zhong, J Zhou, G Wang, Z Zhu, ... arXiv preprint arXiv:2312.00678, 2023	19	2023
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection G Wang, Y Guo, Y Wong, M Kankanhalli ECCV 2022, 2022	16	2022
Distance Matters in Human-Object Interaction Detection G Wang, Y Guo, Y Wong, M Kankanhalli ACM MM 2022, 2022	16	2022
Text to Point Cloud Localization with Relation-Enhanced Transformer G Wang, H Fan, M Kankanhalli AAAI 2023, 2023	9	2023
Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness G Wang, Y Guo, Z Xu, M Kankanhalli CVPR 2024, 2024	5	2024
Semantic-aware Triplet Loss for Image Classification G Wang, Y Guo, Z Xu, Y Wong, M Kankanhalli IEEE TMM 2022, 2022	5	2022
PELA: Learning parameter-efficient models with low-rank approximation Y Guo, G Wang, M Kankanhalli CVPR 2024, 2023	4	2023
S3Editor: A Sparse Semantic-Disentangled Self-Training Framework for Face Video Editing G Wang, T Chen, K Ghasedi, HT Wu, T Ding, C Nuesmeyer, I Zharkov, ... arXiv preprint arXiv:2404.08111, 2024	1	2024
Dynamic knowledge distillation with cross-modality knowledge transfer G Wang ACM MM 2021, 2021	1	2021
Mining Conditional Part Semantics with Occluded Extrapolation for Human-Object Interaction Detection G Wang, Y Guo, M Kankanhalli arXiv preprint arXiv:2307.10499, 2023		2023

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