Search Results for author:
Found 8 papers, 6 papers with code
Data-Efficient Multimodal Fusion on a Single GPU
The goal of multimodal alignment is to learn a single latent space that is shared between multimodal inputs.
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
We propose TR0N, a highly general framework to turn pre-trained unconditional generative models, such as GANs and VAEs, into conditional models.
Ranked #31 on
Text-to-Image Generation
on MS COCO
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval
Instead, texts often capture sub-regions of entire videos and are most semantically similar to certain frames within videos.
Ranked #17 on
Video Retrieval
on LSMDC
(using extra training data)
Weakly Supervised Action Selection Learning in Video
A common approach is to train a frame-level classifier where frames with the highest class probability are selected to make a video-level prediction.
Ranked #4 on
Weakly Supervised Action Localization
on FineAction
Guided Similarity Separation for Image Retrieval
Despite recent progress in computer vision, image retrieval remains a challenging open problem.
Cross-Class Relevance Learning for Temporal Concept Localization
We present a novel Cross-Class Relevance Learning approach for the task of temporal concept localization.
Semi-Supervised Exploration in Image Retrieval
We present our solution to Landmark Image Retrieval Challenge 2019.
Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks
Text-to-Image translation has been an active area of research in the recent past.
