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2020 – today
- 2024
[c7]Jingyun Xiao, Ran Liu, Eva L. Dyer:
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings. ICLR 2024- [c6]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. WACV 2024: 2657-2667 - [i8]Ran Liu, Wenrui Ma, Ellen L. Zippi, Hadi Pouransari, Jingyun Xiao, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Erdrin Azemi, Eva L. Dyer, Ali Moin:
Generalizable autoregressive modeling of time series through functional narratives. CoRR abs/2410.08421 (2024) - 2023
- [i7]Jorge Quesada
, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. CoRR abs/2301.00345 (2023) - [i6]Ran Liu, Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira, Eva L. Dyer:
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration. CoRR abs/2308.14596 (2023) - 2022
- [c5]Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L. Dyer:
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers. NeurIPS 2022 - [c4]Jorge Quesada, Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M. Jackson, Mehdi Azabou, Jingyun Xiao, Christopher Liding, Matthew Jin, Carolina Urzay, William R. Gray Roncal, Erik C. Johnson, Eva L. Dyer:
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction. NeurIPS 2022 - [i5]Ran Liu, Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L. Dyer:
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers. CoRR abs/2206.06131 (2022) - 2020
- [c3]Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen:
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition. FG 2020: 356-363 - [c2]Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen:
Deformation Flow Based Two-Stream Network for Lip Reading. FG 2020: 364-370 - [i4]Yuanhang Zhang, Shuang Yang, Jingyun Xiao, Shiguang Shan, Xilin Chen:
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition. CoRR abs/2003.03206 (2020) - [i3]Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen:
Deformation Flow Based Two-Stream Network for Lip Reading. CoRR abs/2003.05709 (2020)
2010 – 2019
- 2019
- [c1]Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin Chen:
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild. FG 2019: 1-8 - 2018
- [i2]Jingyun Xiao, Shuang Yang, Yuanhang Zhang, Shiguang Shan, Xilin Chen:
3D Feature Pyramid Attention Module for Robust Visual Speech Recognition. CoRR abs/1810.06178 (2018) - [i1]Shuang Yang, Yuanhang Zhang, Dalu Feng, Mingmin Yang, Chenhao Wang, Jingyun Xiao, Keyu Long, Shiguang Shan, Xilin Chen:
LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild. CoRR abs/1810.06990 (2018)
Coauthor Index
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