Search Results - "Urtasun, Raquel"

Deep Watershed Transform for Instance Segmentation by Min Bai, Urtasun, Raquel

“…Most contemporary approaches to instance segmentation use complex pipelines involving conditional random fields, recurrent neural networks, object proposals,…”
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3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection by Chen, Xiaozhi, Kundu, Kaustav, Zhu, Yukun, Ma, Huimin, Fidler, Sanja, Urtasun, Raquel

“…The goal of this paper is to perform 3D object detection in the context of autonomous driving. Our method aims at generating a set of high-quality 3D object…”
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Towards Diverse and Natural Image Descriptions via a Conditional GAN by Bo Dai, Fidler, Sanja, Urtasun, Raquel, Dahua Lin

“…Despite the substantial progress in recent years, the image captioning techniques are still far from being perfect. Sentences produced by existing methods,…”
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GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation by Qi, Xiaojuan, Liao, Renjie, Liu, Zhengzhe, Urtasun, Raquel, Jia, Jiaya

“…In this paper, we propose Geometric Neural Network (GeoNet) to jointly predict depth and surface normal maps from a single image. Building on top of two-stream…”
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End-To-End Interpretable Neural Motion Planner by Zeng, Wenyuan, Luo, Wenjie, Suo, Simon, Sadat, Abbas, Yang, Bin, Casas, Sergio, Urtasun, Raquel

“…In this paper, we propose a neural motion planner for learning to drive autonomously in complex urban scenarios that include traffic-light handling, yielding,…”
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UPSNet: A Unified Panoptic Segmentation Network by Xiong, Yuwen, Liao, Renjie, Zhao, Hengshuang, Hu, Rui, Bai, Min, Yumer, Ersin, Urtasun, Raquel

“…In this paper, we propose a unified panoptic segmentation network (UPSNet) for tackling the newly proposed panoptic segmentation task. On top of a single…”
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SBNet: Sparse Blocks Network for Fast Inference by Ren, Mengye, Pokrovsky, Andrei, Yang, Bin, Urtasun, Raquel

“…Conventional deep convolutional neural networks (CNNs) apply convolution operators uniformly in space across all feature maps for hundreds of layers - this…”
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Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books by Yukun Zhu, Kiros, Ryan, Zemel, Rich, Salakhutdinov, Ruslan, Urtasun, Raquel, Torralba, Antonio, Fidler, Sanja

“…Books are a rich source of both fine-grained information, how a character, an object or a scene looks like, as well as high-level semantics, what someone is…”
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Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts by Xianjie Chen, Mottaghi, Roozbeh, Xiaobai Liu, Fidler, Sanja, Urtasun, Raquel, Yuille, Alan

“…Detecting objects becomes difficult when we need to deal with large shape deformation, occlusion and low resolution. We propose a novel approach to i) handle…”
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Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images by Merkle, Nina, Luo, Wenjie, Auer, Stefan, Müller, Rupert, Urtasun, Raquel

“…Improving the geo-localization of optical satellite images is an important pre-processing step for many remote sensing tasks like monitoring by image time…”
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Enhancing Road Maps by Parsing Aerial Images Around the World by Mattyus, Gellert, Shenlong Wang, Fidler, Sanja, Urtasun, Raquel

“…In recent years, contextual models that exploit maps have been shown to be very effective for many recognition and localization tasks. In this paper we propose…”
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Physically Realizable Adversarial Examples for LiDAR Object Detection by Tu, James, Ren, Mengye, Manivasagam, Sivabalan, Liang, Ming, Yang, Bin, Du, Richard, Cheng, Frank, Urtasun, Raquel

“…Modern autonomous driving systems rely heavily on deep learning models to process point cloud sensory data; meanwhile, deep models have been shown to be…”
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The Role of Context for Object Detection and Semantic Segmentation in the Wild by Mottaghi, Roozbeh, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Fidler, Sanja, Urtasun, Raquel, Yuille, Alan

“…In this paper we study the role of context in existing state-of-the-art detection and segmentation approaches. Towards this goal, we label every pixel of…”
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Neuroaesthetics in fashion: Modeling the perception of fashionability by Simo-Serra, Edgar, Fidler, Sanja, Moreno-Noguer, Francesc, Urtasun, Raquel

“…In this paper, we analyze the fashion of clothing of a large social website. Our goal is to learn and predict how fashionable a person looks on a photograph…”
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Fibroblast growth factor 15/19 (FGF15/19) protects from diet-induced hepatic steatosis: development of an FGF19-based chimeric molecule to promote fatty liver regeneration by Alvarez-Sola, Gloria, Uriarte, Iker, Latasa, M Ujue, Fernandez-Barrena, Maite G, Urtasun, Raquel, Elizalde, Maria, Barcena-Varela, Marina, Jiménez, Maddalen, Chang, Haisul C, Barbero, Roberto, Catalán, Victoria, Rodríguez, Amaia, Frühbeck, Gema, Gallego-Escuredo, José M, Gavaldà-Navarro, Aleix, Villarroya, Francesc, Rodriguez-Ortigosa, Carlos M, Corrales, Fernando J, Prieto, Jesus, Berraondo, Pedro, Berasain, Carmen, Avila, Matias A

“…Fibroblast growth factor 15/19 (FGF15/19), an enterokine that regulates synthesis of hepatic bile acids (BA), has been proposed to influence fat metabolism…”
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Dual Targeting of Histone Methyltransferase G9a and DNA‐Methyltransferase 1 for the Treatment of Experimental Hepatocellular Carcinoma by Bárcena‐Varela, Marina, Caruso, Stefano, Llerena, Susana, Álvarez‐Sola, Gloria, Uriarte, Iker, Latasa, M. Ujue, Urtasun, Raquel, Rebouissou, Sandra, Alvarez, Laura, Jimenez, Maddalen, Santamaría, Eva, Rodriguez‐Ortigosa, Carlos, Mazza, Giuseppe, Rombouts, Krista, San José‐Eneriz, Edurne, Rabal, Obdulia, Agirre, Xabier, Iraburu, Maria, Santos‐Laso, Alvaro, Banales, Jesus M., Zucman‐Rossi, Jessica, Prósper, Felipe, Oyarzabal, Julen, Berasain, Carmen, Ávila, Matías A., Fernández‐Barrena, Maite G.

“…Epigenetic modifications such as DNA and histone methylation functionally cooperate in fostering tumor growth, including that of hepatocellular carcinoma…”
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Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization by Brubaker, Marcus A., Geiger, Andreas, Urtasun, Raquel

“…In this paper we propose an affordable solution to self-localization, which utilizes visual odometry and road maps as the only inputs. To this end, we present…”
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Lost Shopping! Monocular Localization in Large Indoor Spaces by Shenlong Wang, Fidler, Sanja, Urtasun, Raquel

“…In this paper we propose a novel approach to localization in very large indoor spaces (i.e., 200+ store shopping malls) that takes a single image and a floor…”
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Self-Supervised Representation Learning from Flow Equivariance by Xiong, Yuwen, Ren, Mengye, Zeng, Wenyuan, Waabi, Raquel Urtasun

“…Self-supervised representation learning is able to learn semantically meaningful features; however, much of its recent success relies on multiple crops of an…”
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Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding by Mottaghi, Roozbeh, Fidler, Sanja, Yuille, Alan, Urtasun, Raquel, Parikh, Devi

“…Recent trends in image understanding have pushed for scene understanding models that jointly reason about various tasks such as object detection, scene…”
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