89 citations · 533 across the 28 of their papers we have counts for
4 papers · 1 filter
Revealing Single Frame Bias for Video-and-Language Learning
Jie Lei, Tamara L. Berg, Mohit Bansal
Training an effective video-and-language model intuitively requires multiple frames as model inputs. However, it is unclear whether using multiple frames is beneficial to downstrea…
End-to-End Visual Editing with a Generatively Pre-Trained Artist
Andrew Brown, Cheng-Yang Fu, Omkar Parkhi +2
We consider the targeted image editing problem: blending a region in a source image with a driver image that specifies the desired change. Differently from prior works, we solve th…
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Jie Lei, Xinlei Chen, Ning Zhang +4
Dual encoders and cross encoders have been widely used for image-text retrieval. Between the two, the dual encoder encodes the image and text independently followed by a dot produc…
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval
Licheng Yu, Jun Chen, Animesh Sinha +4
We introduce CommerceMM - a multimodal model capable of providing a diverse and granular understanding of commerce topics associated to the given piece of content (image, text, ima…