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2020 – today
- 2024
[j2]Shizhan Liu
, Weiyao Lin, Yihang Chen, Yufeng Zhang, Wenrui Dai, John See, Hongkai Xiong:
A Unified Framework for Jointly Compressing Visual and Semantic Data. ACM Trans. Multim. Comput. Commun. Appl. 20(7): 221:1-221:24 (2024)- [c5]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation. AAAI 2024: 13999-14007 - [c4]Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin:
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression. ECCV (25) 2024: 269-285 - 2023
- [j1]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe:
HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events. Int. J. Comput. Vis. 131(11): 2994-3018 (2023) - [c3]Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin:
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis. NeurIPS 2023 - [c2]Shizhan Liu:
MTE: Learned Image Compression with a Merge-Then-Estimate Entropy Model. VCIP 2023: 1-5 - [i3]Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin:
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis. CoRR abs/2310.20496 (2023) - [i2]Shizhan Liu, Zhengkai Jiang, Yuxi Li, Jinlong Peng, Yabiao Wang, Weiyao Lin:
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation. CoRR abs/2312.09595 (2023) - 2022
- [c1]Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar:
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting. ICLR 2022 - 2020
- [i1]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah:
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. CoRR abs/2005.04490 (2020)
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