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20162022
most citedPCAMs: Weakly Supervised Semantic Segmentation Using Point Supervision

11 citations · 54 across the 19 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Actor Conditioned Attention Maps for Video Action Detection

Oytun Ulutan, Swati Rallapalli, Mudhakar Srivatsa +2

While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context. The surrounding context provides essential information…

cs.CV2018

Brain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

Po-Yu Kao, Thuyen Ngo, Angela Zhang +2

This paper introduces a novel methodology to integrate human brain connectomics and parcellation for brain tumor segmentation and survival prediction. For segmentation, we utilize…

cs.CV2018

Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis

Arjuna Flenner, Lawrence Peterson, Jason Bunk +3

The amount of digital imagery recorded has recently grown exponentially, and with the advancement of software, such as Photoshop or Gimp, it has become easier to manipulate images.…

cs.CV2018

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

Tajuddin Manhar Mohammed, Jason Bunk, Lakshmanan Nataraj +6

Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting…

cs.CV2018

An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data

Oytun Ulutan, Benjamin S. Riggan, Nasser M. Nasrabadi +1

We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks. In this setting ca…