16 citations · 32 across the 13 of their papers we have counts for
15 papers
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…
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms
Prachi Singh, Srikrishna Karanam, Sumit Shekhar
We consider and propose a new problem of retrieving audio files relevant to multimodal design document inputs comprising both textual elements and visual imagery, e.g., birthday/gr…
Interactive Control over Temporal Consistency while Stylizing Video Streams
Sumit Shekhar, Max Reimann, Moritz Hilscher +3
Image stylization has seen significant advancement and widespread interest over the years, leading to the development of a multitude of techniques. Extending these stylization tech…
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…