3 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
Beyond Pixels: A Differentiable Pipeline for Probing Neuronal Selectivity in 3D
Pavithra Elumalai, Mohammad Bashiri, Goirik Chakrabarty +2
Visual perception relies on inference of 3D scene properties such as shape, pose, and lighting. To understand how visual sensory neurons enable robust perception, it is crucial to…
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…
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…
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
Manogna Sreenivas, Goirik Chakrabarty, Soma Biswas
Test Time Adaptation (TTA) is a pivotal concept in machine learning, enabling models to perform well in real-world scenarios, where test data distribution differs from training. In…