Linjie Li 李琳婕
Linjie Li 李琳婕
Microsoft Dynamics 365 AI Research
Adresse e-mail validée de microsoft.com
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UNITER: Learning UNiversal Image-TExt Representations
YC Chen, L Li, L Yu, AE Kholy, F Ahmed, Z Gan, Y Cheng, J Liu
ECCV 2020, 2020
142*2020
Relation-aware graph attention network for visual question answering
L Li, Z Gan, Y Cheng, J Liu
ICCV 2019, 2019
742019
Multi-step reasoning via recurrent dual attention for visual dialog
Z Gan, Y Cheng, AEI Kholy, L Li, J Liu, J Gao
ACL 2019, 2019
422019
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Z Gan, YC Chen, L Li, C Zhu, Y Cheng, J Liu
NeurIPS 2020, 2020
202020
Extracting human face similarity judgments: Pairs or triplets?
L Li, VL Malave, A Song, A Yu
CogSci 2016, 2016
142016
HERO: Hierarchical Encoder for Video+ Language Omni-representation Pre-training
L Li, YC Chen, Y Cheng, Z Gan, L Yu, J Liu
EMNLP 2020, 2020
122020
Graph Optimal Transport for Cross-Domain Alignment
L Chen, Z Gan, Y Cheng, L Li, L Carin, J Liu
ICML 2020, 2020
92020
Meta Module Network for Compositional Visual Reasoning
W Chen, Z Gan, L Li, Y Cheng, W Wang, J Liu
WACV 2021, 2019
82019
Learning to see faces like humans: modeling the social dimensions of faces
A Song, L Linjie, C Atalla, G Cottrell
Journal of Vision 17 (10), 837-837, 2017
62017
Learning to See People like People: Predicting Social Perceptions of Faces.
A Song, L Li, C Atalla, G Cottrell
CogSci 2017, 2017
3*2017
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling
J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu
arXiv preprint arXiv:2102.06183, 2021
2021
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models
L Li, Z Gan, J Liu
arXiv preprint arXiv:2012.08673, 2020
2020
Understanding the social dimensions of facial attractivenss
A Song, L Li, V Malave, A Yu, G Cottrell
Journal of Vision 16 (12), 493-493, 2016
2016
Understanding human facial attractiveness from multiple views.
A Song, L Li, VL Malave, G Cottrell, A Yu
CogSci 2016, 2016
2016
Modeling the Social Perception of Faces
A Song, L Linjie, C Atalla, G Cottrell
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