16 citations · 32 across the 13 of their papers we have counts for
9 papers · 1 filter
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion Models
Divya Kothandaraman, Kuldeep Kulkarni, Sumit Shekhar +2
We present ImPoster, a novel algorithm for generating a target image of a 'source' subject performing a 'driving' action. The inputs to our algorithm are a single pair of a source…
Unveiling the Invisible: Captioning Videos with Metaphors
Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Sumit Shekhar
Metaphors are a common communication tool used in our day-to-day life. The detection and generation of metaphors in textual form have been studied extensively but metaphors in othe…
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning
Abisek Rajakumar Kalarani, Pushpak Bhattacharyya, Niyati Chhaya +1
Well-formed context aware image captions and tags in enterprise content such as marketing material are critical to ensure their brand presence and content recall. Manual creation a…
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti +3
We present a novel method, SALAD, for the challenging vision task of adapting a pre-trained "source" domain network to a "target" domain, with a small budget for annotation in the…
Low-light Image and Video Enhancement via Selective Manipulation of Chromaticity
Sumit Shekhar, Max Reimann, Amir Semmo +3
Image acquisition in low-light conditions suffers from poor quality and significant degradation in visual aesthetics. This affects the visual perception of the acquired image and t…
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Suraj Kothawade, Saikat Ghosh, Sumit Shekhar +2
Deep neural networks based object detectors have shown great success in a variety of domains like autonomous vehicles, biomedical imaging, etc. It is known that their success depen…
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta +3
We introduce LEAF-QA, a comprehensive dataset of densely annotated figures/charts, constructed from real-world open data sources, along with ~2 million question-answer (Q…
Show and Recall: Learning What Makes Videos Memorable
Sumit Shekhar, Dhruv Singal, Harvineet Singh +2
With the explosion of video content on the Internet, there is a need for research on methods for video analysis which take human cognition into account. One such cognitive measure…
Synthesis-based Robust Low Resolution Face Recognition
Sumit Shekhar, Vishal M. Patel, Rama Chellappa
Recognition of low resolution face images is a challenging problem in many practical face recognition systems. Methods have been proposed in the face recognition literature for the…