Weakly Supervised Image Classification with Coarse and Fine Labels. - Jie Lei 003; Zhenyu Guo; Yang Wang 003 (CRV, 2017)

TVQA: Localized, Compositional Video Question Answering. - Jie Lei 003; Licheng Yu; Mohit Bansal; Tamara L. Berg (EMNLP, 2018)

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. - Jie Lei 003; Liwei Wang 009; Yelong Shen; Dong Yu 001; Tamara L. Berg; Mohit Bansal (ACL, 2020)

TVQA+: Spatio-Temporal Grounding for Video Question Answering. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (ACL, 2020)

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (ECCV (21), 2020)

What is More Likely to Happen Next? Video-and-Language Future Event Prediction. - Jie Lei 003; Licheng Yu; Tamara L. Berg; Mohit Bansal (EMNLP (1), 2020)

mTVR: Multilingual Moment Retrieval in Videos. - Jie Lei 003; Tamara L. Berg; Mohit Bansal (ACL/IJCNLP (2), 2021)

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. - Jie Lei 003; Linjie Li; Luowei Zhou; Zhe Gan; Tamara L. Berg; Mohit Bansal; Jingjing Liu 001 (CVPR, 2021)

Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. - Linjie Li; Jie Lei 003; Zhe Gan; Jingjing Liu 001 (ICCV, 2021)

Unifying Vision-and-Language Tasks via Text Generation. - Jaemin Cho 001; Jie Lei 003; Hao Tan 002; Mohit Bansal (ICML, 2021)

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. - Zineng Tang; Jie Lei 003; Mohit Bansal (NAACL-HLT, 2021)

Detecting Moments and Highlights in Videos via Natural Language Queries. - Jie Lei 003; Tamara L. Berg; Mohit Bansal (NeurIPS, 2021)

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. - Linjie Li; Jie Lei 003; Zhe Gan; Licheng Yu; Yen-Chun Chen 001; Rohit Pillai; Yu Cheng 001; Luowei Zhou; Xin Wang 061; William Yang Wang; Tamara L. Berg; Mohit Bansal; et al. (NeurIPS Datasets and Benchmarks, 2021)

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning. - Hao Tan 002; Jie Lei 003; Thomas Wolf 008; Mohit Bansal (CoRR, 2021)

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries. - Jie Lei 003; Tamara L. Berg; Mohit Bansal (CoRR, 2021)

EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound. - Yan-Bo Lin; Jie Lei 003; Mohit Bansal; Gedas Bertasius (ECCV (34), 2022)

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners. - Zhenhailong Wang; Manling Li; Ruochen Xu; Luowei Zhou; Jie Lei 003; Xudong Lin 003; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Derek Hoiem; Shih-Fu Chang; Mohit Bansal; et al. (NeurIPS, 2022)

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. - Jie Lei 003; Xinlei Chen; Ning Zhang; Mengjiao Wang 002; Mohit Bansal; Tamara L. Berg; Licheng Yu (CoRR, 2022)

Video and Language Understanding: Datasets and Algorithms. - Jie Lei 003 (2022)

Revealing Single Frame Bias for Video-and-Language Learning. - Jie Lei 003; Tamara L. Berg; Mohit Bansal (ACL (1), 2023)

VindLU: A Recipe for Effective Video-and-Language Pretraining. - Feng Cheng; Xizi Wang; Jie Lei 003; David J. Crandall; Mohit Bansal; Gedas Bertasius (CVPR, 2023)

Vision Transformers are Parameter-Efficient Audio-Visual Learners. - Yan-Bo Lin; Yi-Lin Sung; Jie Lei 003; Mohit Bansal; Gedas Bertasius (CVPR, 2023)

PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. - Zineng Tang; Jaemin Cho 001; Jie Lei 003; Mohit Bansal (WACV, 2023)