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cs.CV2025
Refine and Align: Confidence Calibration through Multi-Agent Interaction in VQA
Ayush Pandey, Jai Bardhan, Ishita Jain +3
In the context of Visual Question Answering (VQA) and Agentic AI, calibration refers to how closely an AI system's confidence in its answers reflects their actual correctness. This…
cs.CV2024
ReMOVE: A Reference-free Metric for Object Erasure
Aditya Chandrasekar, Goirik Chakrabarty, Jai Bardhan +2
We introduce , a novel reference-free metric for assessing object erasure efficacy in diffusion-based image editing models post-generation. Unlike existing measure…
cs.CV2024
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
Goirik Chakrabarty, Aditya Chandrasekar, Ramya Hebbalaguppe +1
Recent developments in the field of diffusion models have demonstrated an exceptional capacity to generate high-quality prompt-conditioned image edits. Nevertheless, previous appro…