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Zhan Tong
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2020 – today
- 2024
- [c10]Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou:
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. ICLR 2024 - [i16]Hanlin Wang, Zhan Tong, Kecheng Zheng, Yujun Shen, Limin Wang:
Contextual AD Narration with Interleaved Multimodal Sequence. CoRR abs/2403.12922 (2024) - 2023
- [c9]Zhan Tong, Zhan Wu, Yang Yang, Weilong Mao, Shijie Wang, Yinsheng Li, Yang Chen:
Data-consistent Unsupervised Diffusion Model for Metal Artifact Reduction. BIBM 2023: 1467-1472 - [c8]Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, Yu Qiao:
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking. CVPR 2023: 14549-14560 - [c7]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
Efficient Video Action Detection with Token Dropout and Context Refinement. ICCV 2023: 10354-10365 - [c6]Chongjian Ge, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo:
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning. ICLR 2023 - [i15]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
CycleACR: Cycle Modeling of Actor-Context Relations for Video Action Detection. CoRR abs/2303.16118 (2023) - [i14]Limin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, Yu Qiao:
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking. CoRR abs/2303.16727 (2023) - [i13]Chongjian Ge, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo:
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning. CoRR abs/2303.17142 (2023) - [i12]Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou:
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens. CoRR abs/2304.03768 (2023) - [i11]Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang:
Efficient Video Action Detection with Token Dropout and Context Refinement. CoRR abs/2304.08451 (2023) - [i10]Ziyun Zeng, Yixiao Ge, Zhan Tong, Xihui Liu, Shu-Tao Xia, Ying Shan:
TVTSv2: Learning Out-of-the-box Spatiotemporal Visual Representations at Scale. CoRR abs/2305.14173 (2023) - [i9]Jiangliu Wang, Jianbo Jiao, Yibing Song, Stephen James, Zhan Tong, Chongjian Ge, Pieter Abbeel, Yunhui Liu:
Speed Co-Augmentation for Unsupervised Audio-Visual Pre-training. CoRR abs/2309.13942 (2023) - [i8]Chongjian Ge, Xiaohan Ding, Zhan Tong, Li Yuan, Jiangliu Wang, Yibing Song, Ping Luo:
Advancing Vision Transformers with Group-Mix Attention. CoRR abs/2311.15157 (2023) - [i7]Ziteng Gao, Zhan Tong, Kevin Qinghong Lin, Joya Chen, Mike Zheng Shou:
Bootstrapping SparseFormers from Vision Foundation Models. CoRR abs/2312.01987 (2023) - [i6]Qinying Liu, Kecheng Zheng, Wei Wu, Zhan Tong, Yu Liu, Wei Chen, Zilei Wang, Yujun Shen:
TagAlign: Improving Vision-Language Alignment with Multi-Tag Classification. CoRR abs/2312.14149 (2023) - 2022
- [c5]Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
EViT: Expediting Vision Transformers via Token Reorganizations. ICLR 2022 - [c4]Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo:
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. NeurIPS 2022 - [c3]Zhan Tong, Yibing Song, Jue Wang, Limin Wang:
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. NeurIPS 2022 - [i5]Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, Pengtao Xie:
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations. CoRR abs/2202.07800 (2022) - [i4]Zhan Tong, Yibing Song, Jue Wang, Limin Wang:
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training. CoRR abs/2203.12602 (2022) - [i3]Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo:
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. CoRR abs/2205.13535 (2022) - 2021
- [c2]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CVPR 2021: 1895-1904 - [c1]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. ICCV 2021: 1493-1502 - [i2]Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu:
MGSampler: An Explainable Sampling Strategy for Video Action Recognition. CoRR abs/2104.09952 (2021) - 2020
- [i1]Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu:
TDN: Temporal Difference Networks for Efficient Action Recognition. CoRR abs/2012.10071 (2020)
2010 – 2019
- 2019
- [j1]Zhan Tong, Qinghua Cui, Juan Wang, Yuan Zhou:
TransmiR v2.0: an updated transcription factor-microRNA regulation database. Nucleic Acids Res. 47(Database-Issue): D253-D258 (2019)
Coauthor Index
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last updated on 2024-08-08 20:16 CEST by the dblp team
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