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20182024
most citedCyCLIP: Cyclic Contrastive Language-Image Pretraining

46 citations · 78 across the 15 of their papers we have counts for

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cs.CV2023

Self-supervised Multi-view Disentanglement for Expansion of Visual Collections

Nihal Jain, Praneetha Vaddamanu, Paridhi Maheshwari +2

Image search engines enable the retrieval of images relevant to a query image. In this work, we consider the setting where a query for similar images is derived from a collection o…

cs.CV2022

GEMS: Scene Expansion using Generative Models of Graphs

Rishi Agarwal, Tirupati Saketh Chandra, Vaidehi Patil +3

Applications based on image retrieval require editing and associating in intermediate spaces that are representative of the high-level concepts like objects and their relationships…

cs.CV2022★ 46 cited

CyCLIP: Cyclic Contrastive Language-Image Pretraining

Shashank Goel, Hritik Bansal, Sumit Bhatia +3

Recent advances in contrastive representation learning over paired image-text data have led to models such as CLIP that achieve state-of-the-art performance for zero-shot classific…

cs.CV2021

Generating Compositional Color Representations from Text

Paridhi Maheshwari, Nihal Jain, Praneetha Vaddamanu +3

We consider the cross-modal task of producing color representations for text phrases. Motivated by the fact that a significant fraction of user queries on an image search engine fo…

cs.CV2021

Scene Graph Embeddings Using Relative Similarity Supervision

Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay

Scene graphs are a powerful structured representation of the underlying content of images, and embeddings derived from them have been shown to be useful in multiple downstream task…