1 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
DuoGen: Towards General Purpose Interleaved Multimodal Generation
Min Shi, Xiaohui Zeng, Jiannan Huang +13
Interleaved multimodal generation enables capabilities beyond unimodal generation models, such as step-by-step instructional guides, visual planning, and generating visual drafts f…
Deep Generative Filter for Motion Deblurring
Sainandan Ramakrishnan, Shubham Pachori. Aalok Gangopadhyay, Shanmuganathan Raman
Removing blur caused by camera shake in images has always been a challenging problem in computer vision literature due to its ill-posed nature. Motion blur caused due to the relati…
Hashing in the Zero Shot Framework with Domain Adaptation
Shubham Pachori, Ameya Deshpande, Shanmuganathan Raman
Techniques to learn hash codes which can store and retrieve large dimensional multimedia data efficiently have attracted broad research interests in the recent years. With rapid ex…
Multi-Scale Saliency Detection using Dictionary Learning
Shubham Pachori
Saliency detection has drawn a lot of attention of researchers in various fields over the past several years. Saliency is the perceptual quality that makes an object, person to dra…
Zero Shot Hashing
Shubham Pachori, Shanmuganathan Raman
This paper provides a framework to hash images containing instances of unknown object classes. In many object recognition problems, we might have access to huge amount of data. It…