Search Results for author: Edgar Simo-Serra

Found 30 papers, 9 papers with code

Return-Aligned Decision Transformer

no code implementations6 Feb 2024 Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra

Decision Transformer (DT) optimizes a policy that generates actions conditioned on the target return through supervised learning and is equipped with a mechanism to control the agent using the target return.

Action Generation

Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging

no code implementations8 Dec 2023 Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa

To tackle this, we propose two kinds of approaches of image synthesis-based late stage cancer augmentation and semi-supervised learning which is designed for T-stage prediction.

Data Augmentation Image Generation +1

Diffusion-based Holistic Texture Rectification and Synthesis

no code implementations26 Sep 2023 Guoqing Hao, Satoshi Iizuka, Kensho Hara, Edgar Simo-Serra, Hirokatsu Kataoka, Kazuhiro Fukui

We present a novel framework for rectifying occlusions and distortions in degraded texture samples from natural images.

Texture Synthesis

Controllable Multi-domain Semantic Artwork Synthesis

no code implementations19 Aug 2023 Yuantian Huang, Satoshi Iizuka, Edgar Simo-Serra, Kazuhiro Fukui

To address this problem, we propose a dataset, which we call ArtSem, that contains 40, 000 images of artwork from 4 different domains with their corresponding semantic label maps.

Generative Adversarial Network

Towards Flexible Multi-modal Document Models

1 code implementation CVPR 2023 Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmonious colors.

Multi-Task Learning Position

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

1 code implementation CVPR 2023 Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

Controllable layout generation aims at synthesizing plausible arrangement of element bounding boxes with optional constraints, such as type or position of a specific element.


Generative Colorization of Structured Mobile Web Pages

1 code implementation22 Dec 2022 Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi

The web page colorization problem is then formalized as a task of estimating plausible color styles for a given web page content with a given hierarchical structure of the elements.

Colorization Efficient Exploration +1

Constrained Graphic Layout Generation via Latent Optimization

1 code implementation2 Aug 2021 Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

We optimize using the latent space of an off-the-shelf layout generation model, allowing our approach to be complementary to and used with existing layout generation models.

User-Guided Line Art Flat Filling With Split Filling Mechanism

no code implementations CVPR 2021 Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, Chunping Liu

We present a deep learning framework for user-guided line art flat filling that can compute the "influence areas" of the user color scribbles, i. e., the areas where the user scribbles should propagate and influence.

DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement

no code implementations18 Sep 2020 Satoshi Iizuka, Edgar Simo-Serra

The remastering of vintage film comprises of a diversity of sub-tasks including super-resolution, noise removal, and contrast enhancement which aim to restore the deteriorated film medium to its original state.

Colorization Super-Resolution +1

TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling

no code implementations18 Sep 2020 Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra

To the best of our knowledge, this is the first deep learning based approach which learns multi-label tree structure connectivity from images.

Metric Learning Segmentation +1

Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

2 code implementations25 Mar 2020 Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka

Due to the variance of the images, which include extreme viewpoint changes such as having to retrieve images of the exterior of a landmark from images of the interior, this is very challenging for approaches based exclusively on visual similarity.

Image Retrieval Landmark Recognition +3

Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum

no code implementations9 Sep 2019 Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki

Furthermore, we propose a method for automatically determining the widths (the numbers of channels) of object detectors based on the eigenspectrum.

Image Classification Object +2

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval

no code implementations30 Aug 2019 Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra

In this paper, we present a novel architecture based on conditional Generative Adversarial Networks (cGANs) with the goal of generating high resolution images of main body parts including head, chest, abdomen and legs.

Anatomy SSIM +1

Joint Gap Detection and Inpainting of Line Drawings

no code implementations CVPR 2017 Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa

We evaluate our method qualitatively on a diverse set of challenging line drawings and also provide quantitative results with a user study, where it significantly outperforms the state of the art.

Mastering Sketching: Adversarial Augmentation for Structured Prediction

no code implementations27 Mar 2017 Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa

Our approach augments a simplification network with a discriminator network, training both networks jointly so that the discriminator network discerns whether a line drawing is a real training data or the output of the simplification network, which in turn tries to fool it.

Structured Prediction

Understanding Human-Centric Images: From Geometry to Fashion

no code implementations14 Dec 2015 Edgar Simo-Serra

Understanding humans from photographs has always been a fundamental goal of computer vision.

3D Human Pose Estimation Semantic Segmentation

Discriminative Learning of Deep Convolutional Feature Point Descriptors

1 code implementation ICCV 2015 Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer

Deep learning has revolutionalized image-level tasks such as classification, but patch-level tasks, such as correspondence, still rely on hand-crafted features, e. g. SIFT.

Satellite Image Classification

Neuroaesthetics in Fashion: Modeling the Perception of Fashionability

no code implementations Conference 2015 Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun

Importantly, our model is able to give rich feedback back to the user, conveying which garments or even scenery she/he should change in order to improve fashionability.

Fracking Deep Convolutional Image Descriptors

no code implementations19 Dec 2014 Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Francesc Moreno-Noguer

In this paper we propose a novel framework for learning local image descriptors in a discriminative manner.

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