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20172026
most citedFully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information

4 citations · 7 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

HorizonRelight: Relighting Long-horizon Videos Consistently via Diffusion Transformers

Jing Yang, Mayoore Jaiswal, Zian Wang +4

Diffusion-based video relighting enables controllable relighting from a single input video, but modern video diffusion backbones are trained on short clips and applied to long-hori…

cs.CV2026

FusionRelight: Relighting Portraits in Real Time via Hybrid Domain Knowledge Fusion

Qian Huang, Mayoore Selvarasa Jaiswal, Zhen Zhong +2

Portrait relighting is a low-level vision problem in which physically plausible illumination transfer, identity preservation, and compact real-time inference must be considered tog…

cs.CV2020★ 2 cited

Large Scale Neural Architecture Search with Polyharmonic Splines

Ulrich Finkler, Michele Merler, Rameswar Panda +8

Neural Architecture Search (NAS) is a powerful tool to automatically design deep neural networks for many tasks, including image classification. Due to the significant computationa…

cs.CV2020

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

Rameswar Panda, Michele Merler, Mayoore Jaiswal +8

Neural Architecture Search (NAS) is an open and challenging problem in machine learning. While NAS offers great promise, the prohibitive computational demand of most of the existin…

cs.CV2018

Assessing Shape Bias Property of Convolutional Neural Networks

Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal +1

It is known that humans display "shape bias" when classifying new items, i.e., they prefer to categorize objects based on their shape rather than color. Convolutional Neural Networ…

cs.CV2017

On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal +1

Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance on a variety of computer vision tasks, particularly visual classification problems, where new algori…