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ZITENG GAO 高子腾
##
#
## Selected Papers & Preprints, [Full List](https://scholar.google.com/citations?user=fbSH2CgAAAAJ&hl=en)
#### D-AR: Diffusion via Autoregressive Models
_ __Ziteng Gao__, Mike Zheng Shou_
arxiv, 2025 [new]
[[arxiv]](https://arxiv.org/abs/2505.23660)
[[pdf]](https://arxiv.org/pdf/2505.23660.pdf)
[[code]](https://github.com/showlab/d-ar)
#### Sparse Image Synthesis via Joint Latent and RoI Flow _ __Ziteng Gao__, Jay Zhangjie Wu, Mike Zheng Shou_ NeurIPS, 2025 [new] [paper & code to be released]
#### 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)
#### 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)
#### 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)
#### 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)
#### Boundary-Aware Cascade Networks for Temporal Action Segmentation _Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu_ ECCV, 2020 [[pdf]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700035.pdf) [[code]](https://github.com/MCG-NJU/BCN)
#### LIP: Local Importance-based Pooling _ __Ziteng Gao__, Limin Wang, Gangshan Wu_ ICCV, 2019 [[arxiv]](https://arxiv.org/abs/1908.04156) [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Gao_LIP_Local_Importance-Based_Pooling_ICCV_2019_paper.pdf) [[code]](https://github.com/sebgao/LIP) #
## Ziteng Gao
👋 Hi there! I am currently a third-year PhD student at the [Show Lab](https://sites.google.com/view/showlab/home) in the National University of Singapore (NUS), advised by [Dr. Mike Z. Shou](https://cde.nus.edu.sg/ece/staff/shou-zheng-mike/).
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)

#### Sparse Image Synthesis via Joint Latent and RoI Flow _ __Ziteng Gao__, Jay Zhangjie Wu, Mike Zheng Shou_ NeurIPS, 2025 [new] [paper & code to be released]
#### 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)
#### 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)
#### 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)
#### 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)
#### Boundary-Aware Cascade Networks for Temporal Action Segmentation _Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu_ ECCV, 2020 [[pdf]](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700035.pdf) [[code]](https://github.com/MCG-NJU/BCN)
#### LIP: Local Importance-based Pooling _ __Ziteng Gao__, Limin Wang, Gangshan Wu_ ICCV, 2019 [[arxiv]](https://arxiv.org/abs/1908.04156) [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Gao_LIP_Local_Importance-Based_Pooling_ICCV_2019_paper.pdf) [[code]](https://github.com/sebgao/LIP) #