Shiv Gehlot — accepted AI-conference papers

2025

Parametric Shadow Control for Portrait Generation in Text-to-Image Diffusion Models

Haoming Cai, Tsung-Wei Huang, Shiv Gehlot, Brandon Y. Feng, Sachin Shah, Guan-Ming Su +1

ICCV 2025poster

Text-to-image diffusion models excel at generating diverse portraits, but lack intuitive shadow control. Existing editing approaches, as post-processing, struggle to offer effective manipulation across diverse styles. Additionally, these methods either rely on expensive real-world light-stage data c…

Cited by 0 Source ↗PDF ↗Scholar ↗

2020

EDNFC-Net: Convolutional Neural Network with Nested Feature Concatenation for Nuclei-Instance Segmentation

Shiv Gehlot, Anubha Gupta, Ritu Gupta

ICASSP 2020accepted

Accurate nuclei identification is an important step in diagnosis of several diseases. The problem is complex due to heterogeneity in structure, color, and texture among the different categories of cells. The problem is further complicated due to overlapped/clustered nuclei. To address these challeng…

Cited by 0 Source ↗Scholar ↗