Jie Lei

According to our database, Jie Lei authored at least 22 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention.

Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Vision Transformers are Parameter-Efficient Audio-Visual Learners.

Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

VindLU: A Recipe for Effective Video-and-Language Pretraining.

Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revealing Single Frame Bias for Video-and-Language Learning.

Jie Lei, Tamara L. Berg, Mohit Bansal

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval.

Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu

CoRR, 2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound.

Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries.

Jie Lei, Tamara L. Berg, Mohit Bansal

CoRR, 2021

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning.

Hao Tan, Jie Lei, Thomas Wolf, Mohit Bansal

CoRR, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Detecting Moments and Highlights in Videos via Natural Language Queries.

Jie Lei, Tamara L. Berg, Mohit Bansal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization.

Zineng Tang, Jie Lei, Mohit Bansal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unifying Vision-and-Language Tasks via Text Generation.

Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models.

Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling.

Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

mTVR: Multilingual Moment Retrieval in Videos.

Jie Lei, Tamara L. Berg, Mohit Bansal

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

What is More Likely to Happen Next? Video-and-Language Future Event Prediction.

Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval.

Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal

Proceedings of the Computer Vision - ECCV 2020, 2020

TVQA+: Spatio-Temporal Grounding for Video Question Answering.

Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.

Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

TVQA: Localized, Compositional Video Question Answering.

Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Weakly Supervised Image Classification with Coarse and Fine Labels.

Jie Lei, Zhenyu Guo, Yang Wang

Proceedings of the 14th Conference on Computer and Robot Vision, 2017