924 citations · 4.2k across the 19 of their papers we have counts for
4 papers · 1 filter
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Dongxu Li, Junnan Li, Hongdong Li +2
Video-and-language pre-training has shown promising improvements on various downstream tasks. Most previous methods capture cross-modal interactions with a transformer-based multim…
Cascaded Fast and Slow Models for Efficient Semantic Code Search
Akhilesh Deepak Gotmare, Junnan Li, Shafiq Joty +1
The goal of natural language semantic code search is to retrieve a semantically relevant code snippet from a fixed set of candidates using a natural language query. Existing approa…
Improving Tail-Class Representation with Centroid Contrastive Learning
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin +3
In vision domain, large-scale natural datasets typically exhibit long-tailed distribution which has large class imbalance between head and tail classes. This distribution poses dif…
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare +3
Large-scale vision and language representation learning has shown promising improvements on various vision-language tasks. Most existing methods employ a transformer-based multimod…