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ORCIDJie Lei 0003
Person information
- affiliation: Meta AI, Seattle, WA, USA
- affiliation (PhD 2022): University of North Carolina at Chapel Hill, Department of Computer Science, NC, USA
Other persons with the same name
- Jie Lei — disambiguation page
- Jie Lei 0001
![[0000-0003-0851-6565]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0851-6565")
— Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China - Jie Lei 0002 — Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies, Hangzhou, China (and 1 more)
- Jie Lei 0004 — Huazhong University of Science and Technology, Computer Science Department, Wuhan, China
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2020 – today
- 2023
[c19]Jie Lei, Tamara L. Berg, Mohit Bansal:
Revealing Single Frame Bias for Video-and-Language Learning. ACL (1) 2023: 487-507- [c18]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CVPR 2023: 2299-2309 - [c17]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR 2023: 10739-10750 - [c16]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV 2023: 4399-4409 - 2022
- [b1]Jie Lei:
Video and Language Understanding: Datasets and Algorithms. University of North Carolina, Chapel Hill, USA, 2022 - [c15]Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius:
EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound. ECCV (34) 2022: 413-430 - [c14]Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. NeurIPS 2022 - [i19]Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu:
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. CoRR abs/2203.05465 (2022) - [i18]Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius:
ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound. CoRR abs/2204.02874 (2022) - [i17]Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. CoRR abs/2205.10747 (2022) - [i16]Jie Lei, Tamara L. Berg, Mohit Bansal:
Revealing Single Frame Bias for Video-and-Language Learning. CoRR abs/2206.03428 (2022) - [i15]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. CoRR abs/2211.11701 (2022) - [i14]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CoRR abs/2212.05051 (2022) - [i13]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CoRR abs/2212.07983 (2022) - 2021
- [c13]Jie Lei, Tamara L. Berg, Mohit Bansal:
mTVR: Multilingual Moment Retrieval in Videos. ACL/IJCNLP (2) 2021: 726-734 - [c12]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CVPR 2021: 7331-7341 - [c11]Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. ICCV 2021: 2022-2031 - [c10]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. ICML 2021: 1931-1942 - [c9]Zineng Tang, Jie Lei, Mohit Bansal:
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. NAACL-HLT 2021: 2415-2426 - [c8]Jie Lei, Tamara L. Berg, Mohit Bansal:
Detecting Moments and Highlights in Videos via Natural Language Queries. NeurIPS 2021: 11846-11858 - [c7]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [i12]Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal:
Unifying Vision-and-Language Tasks via Text Generation. CoRR abs/2102.02779 (2021) - [i11]Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu:
Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. CoRR abs/2102.06183 (2021) - [i10]Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu:
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. CoRR abs/2106.00245 (2021) - [i9]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i8]Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal:
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning. CoRR abs/2106.11250 (2021) - [i7]Jie Lei, Tamara L. Berg, Mohit Bansal:
QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries. CoRR abs/2107.09609 (2021) - [i6]Jie Lei, Tamara L. Berg, Mohit Bansal:
MTVR: Multilingual Moment Retrieval in Videos. CoRR abs/2108.00061 (2021) - 2020
- [c6]Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. ACL 2020: 2603-2614 - [c5]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVQA+: Spatio-Temporal Grounding for Video Question Answering. ACL 2020: 8211-8225 - [c4]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. ECCV (21) 2020: 447-463 - [c3]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. EMNLP (1) 2020: 8769-8784 - [i5]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. CoRR abs/2001.09099 (2020) - [i4]Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal:
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. CoRR abs/2005.05402 (2020) - [i3]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. CoRR abs/2010.07999 (2020)
2010 – 2019
- 2019
- [i2]Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal:
TVQA+: Spatio-Temporal Grounding for Video Question Answering. CoRR abs/1904.11574 (2019) - 2018
- [c2]Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. EMNLP 2018: 1369-1379 - [i1]Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. CoRR abs/1809.01696 (2018) - 2017
- [c1]Jie Lei, Zhenyu Guo, Yang Wang:
Weakly Supervised Image Classification with Coarse and Fine Labels. CRV 2017: 240-247
Coauthor Index
aka: Tamara Lee Berg
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