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20202024
most citedContrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification

5 citations · 7 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

Multimodal Query-guided Object Localization

Aditay Tripathi, Rajath R Dani, Anand Mishra +1

Consider a scenario in one-shot query-guided object localization where neither an image of the object nor the object category name is available as a query. In such a scenario, a ha…

cs.CV2022

Look, Read and Ask: Learning to Ask Questions by Reading Text in Images

Soumya Jahagirdar, Shankar Gangisetty, Anand Mishra

We present a novel problem of text-based visual question generation or TextVQG in short. Given the recent growing interest of the document image analysis community in combining tex…

cs.CV2022★ 5 cited

Contrastive Multi-View Textual-Visual Encoding: Towards One Hundred Thousand-Scale One-Shot Logo Identification

Nakul Sharma, Abhirama S. Penamakuri, Anand Mishra

In this paper, we study the problem of identifying logos of business brands in natural scenes in an open-set one-shot setting. This problem setup is significantly more challenging…

cs.CV2022★ 1 cited

Grounding Scene Graphs on Natural Images via Visio-Lingual Message Passing

Aditay Tripathi, Anand Mishra, Anirban Chakraborty

This paper presents a framework for jointly grounding objects that follow certain semantic relationship constraints given in a scene graph. A typical natural scene contains several…

cs.CV2022★ 1 cited

COFAR: Commonsense and Factual Reasoning in Image Search

Prajwal Gatti, Abhirama Subramanyam Penamakuri, Revant Teotia +3

One characteristic that makes humans superior to modern artificially intelligent models is the ability to interpret images beyond what is visually apparent. Consider the following…