< in the National University of Singapore (NUS), advised by [Dr. Mike Z. Shou](https://cde.nus.edu.sg/ece/staff/shou-zheng-mike/).
<!-- My research interest lies in efficient methods on visual __understanding__ and __generation__. -->
Prior to my PhD study, I earned a master's degree at Nanjing University in 2022, advised by [Dr. Limin Wang](https://wanglimin.github.io/). I was enrolled in the Computer Science Elite Class at Nanjing University, where I obtained my bachelor's degree in 2019.
`gzt` `@` `outlook.com`
[[github]](https://github.com/sebgao)
[[google scholar]](https://scholar.google.com/citations?user=fbSH2CgAAAAJ&hl=en)
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##
#
## Selected Papers & Preprints
#### Bootstrapping SparseFormers from Vision Foundation Models
_ __Ziteng Gao__, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou_
CVPR, 2024
[[arxiv]](https://arxiv.org/abs/2312.01987)
[[pdf]](https://arxiv.org/pdf/2312.01987.pdf)
[[code]](https://github.com/showlab/sparseformer)
<br>
#### SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
_ __Ziteng Gao__, Zhan Tong, Limin Wang, Mike Zheng Shou_
ICLR, 2024
[[arxiv]](https://arxiv.org/abs/2304.03768)
[[pdf]](https://arxiv.org/pdf/2304.03768.pdf)
[[code]](https://github.com/showlab/sparseformer)
<br>
#### AdaMixer: A Fast-Converging Query-Based Object Detector
_ __Ziteng Gao__, Limin Wang, Bing Han, Sheng Guo_
CVPR, 2022
(__oral__)
[[arxiv]](https://arxiv.org/abs/2203.16507)
[[pdf]](https://arxiv.org/pdf/2203.16507.pdf)
[[code]](https://github.com/MCG-NJU/AdaMixer)
[[slides]](https://github.com/MCG-NJU/AdaMixer/blob/main/adamixer_cvpr_2022_keynote.pdf)
<br>
#### Mutual Supervision for Dense Object Detection
_ __Ziteng Gao__, Limin Wang, Gangshan Wu_
ICCV, 2021
[[arxiv]](https://arxiv.org/abs/2109.05986)
[[pdf]](https://openaccess.thecvf.com/content/ICCV2021/papers/Gao_Mutual_Supervision_for_Dense_Object_Detection_ICCV_2021_paper.pdf)
<br>
#### Boundary-Aware Cascade Networks for Temporal Action Segmentation
_Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu_
ECCV, 2020
[[pdf]](http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700035.pdf)
[[code]](https://github.com/MCG-NJU/BCN)
<!-- [[bibtex]](./bibtex/Gao_2019_ICCV.bibtex) -->
<br>
#### LIP: Local Importance-based Pooling
_ __Ziteng Gao__, Limin Wang, Gangshan Wu_
ICCV, 2019
<!-- ##### TL;DR: a learnable, simple, generalized but effective pooling method -->
[[arxiv]](https://arxiv.org/abs/1908.04156)
[[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Gao_LIP_Local_Importance-Based_Pooling_ICCV_2019_paper.pdf)
[[code]](https://github.com/sebgao/LIP)
<!-- [[bibtex]](./bibtex/Gao_2019_ICCV.bibtex) -->
#
<!-- ### Personal Project
[cTensor](https://github.com/sebgao/cTensor) -- a super lightweight deep learning library based on NumPy in PyTorch fashion, which supports convolutional operators.
### Friend
[Hanqing Wu](https://hanqing-wu.weebly.com) -->
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