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2020 – today
- 2023
[c48]Hernan Carrillo, Michaël Clément, Aurélie Bugeau, Edgar Simo-Serra:
Diffusart: Enhancing Line Art Colorization with Conditional Diffusion Models. CVPR Workshops 2023: 3486-3490- [c47]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. CVPR 2023: 10167-10176 - [c46]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Towards Flexible Multi-modal Document Models. CVPR 2023: 14287-14296 - [c45]Hyeon Joon Lee, Edgar Simo-Serra:
Using Unconditional Diffusion Models in Level Generation for Super Mario Bros. MVA 2023: 1-5 - [c44]Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi:
Generative Colorization of Structured Mobile Web Pages. WACV 2023: 3639-3648 - [i16]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. CoRR abs/2303.08137 (2023) - [i15]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Towards Flexible Multi-modal Document Models. CoRR abs/2303.18248 (2023) - [i14]Yuantian Huang, Satoshi Iizuka, Edgar Simo-Serra, Kazuhiro Fukui:
Controllable Multi-domain Semantic Artwork Synthesis. CoRR abs/2308.10111 (2023) - 2022
- [c43]Takuto Itoi, Edgar Simo-Serra:
PIFE: Permutation Invariant Feature Extractor for Danmaku Games. CoG 2022: 624-627 - [c42]Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe, Masayuki Ishii, Ichiro Takemasa:
Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging. DALI@MICCAI 2022: 1-10 - [i13]Yutaka Momma, Weimin Wang, Edgar Simo-Serra, Satoshi Iizuka, Ryosuke Nakamura, Hiroshi Ishikawa:
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames. CoRR abs/2212.00567 (2022) - [i12]Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi
:
Generative Colorization of Structured Mobile Web Pages. CoRR abs/2212.11541 (2022) - 2021
- [j12]Kotaro Kikuchi, Mayu Otani, Kota Yamaguchi, Edgar Simo-Serra:
Modeling Visual Containment for Web Page Layout Optimization. Comput. Graph. Forum 40(7): 33-44 (2021) - [j11]Haoran Mo, Edgar Simo-Serra, Chengying Gao, Changqing Zou, Ruomei Wang:
General virtual sketching framework for vector line art. ACM Trans. Graph. 40(4): 51:1-51:14 (2021) - [c41]Keisuke Izumiya, Edgar Simo-Serra:
Inventory Management with Attention-Based Meta Actions. CoG 2021: 1-8 - [c40]Yusuke Horiuchi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Differentiable Rendering-Based Pose-Conditioned Human Image Generation. CVPR Workshops 2021: 3921-3925 - [c39]Mingcheng Yuan, Edgar Simo-Serra:
Line Art Colorization With Concatenated Spatial Attention. CVPR Workshops 2021: 3946-3950 - [c38]Tsunehiko Tanaka, Edgar Simo-Serra:
LoL-V2T: Large-Scale Esports Video Description Dataset. CVPR Workshops 2021: 4557-4566 - [c37]Lvmin Zhang, Chengze Li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, Chunping Liu:
User-Guided Line Art Flat Filling With Split Filling Mechanism. CVPR 2021: 9889-9898 - [c36]Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. ACM Multimedia 2021: 88-96 - [c35]Masaki Hosono, Edgar Simo-Serra, Tomonari Sonoda:
Self-Supervised Deep Fisheye Image Rectification Approach using Coordinate Relations. MVA 2021: 1-5 - [i11]Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. CoRR abs/2108.00871 (2021) - 2020
- [j10]Lvmin Zhang, Edgar Simo-Serra, Yi Ji, Chunping Liu:
Generating Digital Painting Lighting Effects via RGB-space Geometry. ACM Trans. Graph. 39(2): 13:1-13:13 (2020) - [c34]Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka:
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval. CVPR Workshops 2020: 4363-4370 - [c33]Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. MICCAI (6) 2020: 14-23 - [c32]Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. MICCAI (6) 2020: 681-690 - [c31]Yutaka Momma, Weimin Wang, Edgar Simo-Serra, Satoshi Iizuka, Ryosuke Nakamura, Hiroshi Ishikawa:
P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames. SMC 2020: 4110-4115 - [i10]Shuhei Yokoo, Kohei Ozaki, Edgar Simo-Serra, Satoshi Iizuka:
Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval. CoRR abs/2003.11211 (2020) - [i9]Deepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra:
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling. CoRR abs/2009.08674 (2020) - [i8]Satoshi Iizuka, Edgar Simo-Serra:
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement. CoRR abs/2009.08692 (2020) - [i7]Naoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra:
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks. CoRR abs/2009.13798 (2020)
2010 – 2019
- 2019
- [j9]Satoshi Iizuka, Edgar Simo-Serra:
DeepRemaster: temporal source-reference attention networks for comprehensive video enhancement. ACM Trans. Graph. 38(6): 176:1-176:13 (2019) - [c30]Mayu Omiya, Yusuke Horiuchi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Optimization-Based Data Generation for Photo Enhancement. CVPR Workshops 2019: 1890-1898 - [c29]Ryoji Ogata, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Temporal Distance Matrices for Squat Classification. CVPR Workshops 2019: 2533-2542 - [c28]Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki:
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum. ICCV Workshops 2019: 1931-1941 - [c27]Kotaro Kikuchi, Kota Yamaguchi, Edgar Simo-Serra, Tetsunori Kobayashi:
Regularized Adversarial Training for Single-Shot Virtual Try-On. ICCV Workshops 2019: 3149-3152 - [c26]Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra:
Virtual Thin Slice: 3D Conditional GAN-based Super-Resolution for CT Slice Interval. MLMIR@MICCAI 2019: 91-100 - [c25]Masayuki Fujitani, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hirokazu Kobayashi, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Hidekata Hontani, Hiroshi Ishikawa:
Re-staining Pathology Images by FCNN. MVA 2019: 1-6 - [c24]Yusuke Horiuchi, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Spectral Normalization and Relativistic Adversarial Training for Conditional Pose Generation with Self-Attention. MVA 2019: 1-5 - [i6]Akira Kudo, Yoshiro Kitamura, Yuanzhong Li, Satoshi Iizuka, Edgar Simo-Serra:
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval. CoRR abs/1908.11506 (2019) - [i5]Yosuke Shinya, Edgar Simo-Serra, Taiji Suzuki:
Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum. CoRR abs/1909.04021 (2019) - 2018
- [j8]Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Mastering Sketching: Adversarial Augmentation for Structured Prediction. ACM Trans. Graph. 37(1): 11 (2018) - [j7]Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Real-time data-driven interactive rough sketch inking. ACM Trans. Graph. 37(4): 98 (2018) - [j6]Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Learning to restore deteriorated line drawing. Vis. Comput. 34(6-8): 1077-1085 (2018) - [c23]Mayu Omiya, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Learning photo enhancement by black-box model optimization data generation. SIGGRAPH Asia Technical Briefs 2018: 7:1-7:4 - 2017
- [j5]Edgar Simo-Serra, Carme Torras, Francesc Moreno-Noguer:
3D Human Pose Tracking Priors using Geodesic Mixture Models. Int. J. Comput. Vis. 122(2): 388-408 (2017) - [j4]Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Globally and locally consistent image completion. ACM Trans. Graph. 36(4): 107:1-107:14 (2017) - [c22]Antonio Rubio, LongLong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer:
Multi-Modal Fashion Product Retrieval. VL@EACL 2017: 43-45 - [c21]Kazuma Sasaki, Yuya Nagahama, Zheng Ze, Satoshi Iizuka, Edgar Simo-Serra, Yoshihiko Mochizuki, Hiroshi Ishikawa:
Adaptive Energy Selection for Content-Aware Image Resizing. ACPR 2017: 852-857 - [c20]Kazuma Sasaki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Joint Gap Detection and Inpainting of Line Drawings. CVPR 2017: 5768-5776 - [c19]LongLong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer, Antonio Rubio:
Multi-modal Embedding for Main Product Detection in Fashion. ICCV Workshops 2017: 2236-2242 - [c18]Moeko Takagi, Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
What Makes a Style: Experimental Analysis of Fashion Prediction. ICCV Workshops 2017: 2247-2253 - [c17]Naoto Inoue, Edgar Simo-Serra, Toshihiko Yamasaki, Hiroshi Ishikawa:
Multi-label Fashion Image Classification with Minimal Human Supervision. ICCV Workshops 2017: 2261-2267 - [c16]Antonio Rubio, LongLong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer:
Multi-modal joint embedding for fashion product retrieval. ICIP 2017: 400-404 - [c15]Ryutaro Kitagawa, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Matsuki, Naotake Natori, Hiroshi Ishikawa:
Banknote portrait detection using convolutional neural network. MVA 2017: 440-443 - [i4]Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa:
Mastering Sketching: Adversarial Augmentation for Structured Prediction. CoRR abs/1703.08966 (2017) - 2016
- [j3]Satoshi Iizuka, Edgar Simo-Serra, Hiroshi Ishikawa:
Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Trans. Graph. 35(4): 110:1-110:11 (2016) - [j2]Edgar Simo-Serra, Satoshi Iizuka, Kazuma Sasaki, Hiroshi Ishikawa:
Learning to simplify: fully convolutional networks for rough sketch cleanup. ACM Trans. Graph. 35(4): 121:1-121:11 (2016) - [c14]Edgar Simo-Serra, Hiroshi Ishikawa:
Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction. CVPR 2016: 298-307 - [c13]Kosuke Fukano, Yoshihiko Mochizuki, Satoshi Iizuka, Edgar Simo-Serra, Akihiro Sugimoto, Hiroshi Ishikawa:
Room reconstruction from a single spherical image by higher-order energy minimization. ICPR 2016: 1768-1773 - [c12]Antonio Rubio, LongLong Yu, Edgar Simo-Serra, Francesc Moreno-Noguer:
BASS: Boundary-Aware Superpixel Segmentation. ICPR 2016: 2824-2829 - [c11]Tomohiro Ishii, Edgar Simo-Serra, Satoshi Iizuka, Yoshihiko Mochizuki, Akihiro Sugimoto, Hiroshi Ishikawa, Ryosuke Nakamura:
Detection by classification of buildings in multispectral satellite imagery. ICPR 2016: 3344-3349 - [c10]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. HLT-NAACL 2016: 552-557 - [i3]Edgar Simo-Serra:
Understanding Human-Centric Images: From Geometry to Fashion. CoRR abs/1604.08164 (2016) - 2015
- [b1]Edgar Simo-Serra:
Understanding human-centric images : from geometry to fashion. Polytechnic University of Catalonia, Spain, 2015 - [j1]Edgar Simo-Serra, Carme Torras, Francesc Moreno-Noguer:
DaLI: Deformation and Light Invariant Descriptor. Int. J. Comput. Vis. 115(2): 136-154 (2015) - [c9]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
Neuroaesthetics in fashion: Modeling the perception of fashionability. CVPR 2015: 869-877 - [c8]Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Pascal Fua, Francesc Moreno-Noguer:
Discriminative Learning of Deep Convolutional Feature Point Descriptors. ICCV 2015: 118-126 - [c7]Antonio Rubio, Michael Villamizar, Luis Ferraz, Adrián Peñate Sánchez, Arnau Ramisa, Edgar Simo-Serra, Alberto Sanfeliu, Francesc Moreno-Noguer:
Efficient monocular pose estimation for complex 3D models. ICRA 2015: 1397-1402 - [c6]Edgar Simo-Serra, Carme Torras, Francesc Moreno-Noguer:
Lie Algebra-Based Kinematic Prior for 3D Human Pose Tracking. MVA 2015: 394-397 - [i2]Ariadna Quattoni, Arnau Ramisa, Pranava Swaroop Madhyastha, Edgar Simo-Serra, Francesc Moreno-Noguer:
Structured Prediction with Output Embeddings for Semantic Image Annotation. CoRR abs/1509.02130 (2015) - 2014
- [c5]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
A High Performance CRF Model for Clothes Parsing. ACCV (3) 2014: 64-81 - [c4]Edgar Simo-Serra, Carme Torras, Francesc Moreno-Noguer:
Geodesic Finite Mixture Models. BMVC 2014 - [i1]Edgar Simo-Serra, Eduard Trulls, Luis Ferraz, Iasonas Kokkinos, Francesc Moreno-Noguer:
Fracking Deep Convolutional Image Descriptors. CoRR abs/1412.6537 (2014) - 2013
- [c3]Edgar Simo-Serra, Ariadna Quattoni, Carme Torras, Francesc Moreno-Noguer:
A Joint Model for 2D and 3D Pose Estimation from a Single Image. CVPR 2013: 3634-3641 - 2012
- [c2]Edgar Simo-Serra, Alba Perez Gracia, Hyosang Moon, Nina Patarinsky Robson:
Kinematic Synthesis of Multi-Fingered Robotic Hands for Finite and Infinitesimal Tasks. ARK 2012: 173-180 - [c1]Edgar Simo-Serra, Arnau Ramisa, Guillem Alenyà, Carme Torras, Francesc Moreno-Noguer:
Single image 3D human pose estimation from noisy observations. CVPR 2012: 2673-2680
Coauthor Index
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last updated on 2023-09-08 10:00 CEST by the dblp team
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