3 citations · 6 across the 6 of their papers we have counts for
8 papers
Progressive Risk Estimation for Accident Anticipation
Samet Hicsonmez, Eray Çakar, Nermin Samet +1
Accident anticipation aims to recognize anomalous driving cues before a crash while avoiding false alarms during normal driving. Existing approaches typically formulate this task a…
Improving Sketch Colorization using Adversarial Segmentation Consistency
Samet Hicsonmez, Nermin Samet, Emre Akbas +1
We propose a new method for producing color images from sketches. Current solutions in sketch colorization either necessitate additional user instruction or are restricted to the "…
HoughNet: Integrating near and long-range evidence for visual detection
Nermin Samet, Samet Hicsonmez, Emre Akbas
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method. Inspired by the Generalized Hough Transform, HoughNet determines the presen…
Adversarial Segmentation Loss for Sketch Colorization
Samet Hicsonmez, Nermin Samet, Emre Akbas +1
We introduce a new method for generating color images from sketches or edge maps. Current methods either require some form of additional user-guidance or are limited to the "paired…
Reducing Label Noise in Anchor-Free Object Detection
Nermin Samet, Samet Hicsonmez, Emre Akbas
Current anchor-free object detectors label all the features that spatially fall inside a predefined central region of a ground-truth box as positive. This approach causes label noi…
HoughNet: Integrating near and long-range evidence for bottom-up object detection
Nermin Samet, Samet Hicsonmez, Emre Akbas
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method. Inspired by the Generalized Hough Transform, HoughNet determines the presen…
GANILLA: Generative Adversarial Networks for Image to Illustration Translation
Samet Hicsonmez, Nermin Samet, Emre Akbas +1
In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation. We show that although the current state-of-the-art image-to-imag…
DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books
Samet Hicsonmez, Nermin Samet, Fadime Sener +1
This paper is motivated from a young boy's capability to recognize an illustrator's style in a totally different context. In the book "We are All Born Free" [1], composed of select…