← Search

Harsh Agarwal

4 accepted papers

2026

FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference

ICLR 2026poster

Flow-matching models deliver state-of-the-art fidelity in image and video generation, but the inherent sequential denoising process renders them slower. Existing acceleration methods like distillation, trajectory truncation, and consistency approaches are static, require retraining, and often fail t…

Cited by 0SourcecodeScholar
2025

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis

ICASSP 2025accepted

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that plays a crucial role in the detailed visualization and identification of tissue perfusion in abnormal lesions and radiological suggestions for biopsy. However, DCE-MRI involves the administration of a…

Cited by 0SourceScholar
2023

DF-Platter: Multi-Face Heterogeneous Deepfake Dataset

CVPR 2023poster

Deepfake detection is gaining significant importance in the research community. While most of the research efforts are focused around high-quality images and videos, deepfake generation algorithms today have the capability to generate low-resolution videos, occluded deepfakes, and multiple-subject d…

Cited by 60SourcePDFScholar
2018

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry With Deep Feature Reconstruction

CVPR 2018poster

Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approaches treat the tasks in a supervised manner. Recent approaches to single view depth estimation explore the possibility of learning without full supervision via minimizing…