Index for urta

Urtasun, I. Standard Author Listing
     with: Cabeza, R.: Fast and robust ellipse detection algorithm for head-mount...
     with: Larumbe, A.: Fast and robust ellipse detection algorithm for head-moun...
     with: Martinikorena, I.: Fast and robust ellipse detection algorithm for hea...
     with: Villanueva, A.: Fast and robust ellipse detection algorithm for head-m...

Urtasun, R. Standard Author Listing
     with: Auer, S.: Exploiting Deep Matching and SAR Data for the Geo-Localizati...
     with: Bai, M.: Deep Watershed Transform for Instance Segmentation
     with: Bai, M.: Exploiting Semantic Information and Deep Matching for Optical...
     with: Bai, M.: Learning Deep Structured Active Contours End-to-End
     with: Bai, M.: TorontoCity: Seeing the World with a Million Eyes
     with: Bai, M.: UPSNet: A Unified Panoptic Segmentation Network
     with: Bansal, M.: What Are You Talking About? Text-to-Image Coreference
     with: Barsan, I.A.: Learning to Localize Through Compressed Binary Maps
     with: Bloch, I.: Segmentation of 3D Head MR Images Using Morphological Recon...
     with: Bloch, I.: Topologically controlled segmentation of 3D magnetic resona...
     with: Boben, M.: Real-time coarse-to-fine topologically preserving segmentat...
     with: Brubaker, M.A.: Lost! Leveraging the Crowd for Probabilistic Visual Se...
     with: Brubaker, M.A.: Map-Based Probabilistic Visual Self-Localization
     with: Casas, S.: End-To-End Interpretable Neural Motion Planner
     with: Casas, S.: Implicit Latent Variable Model for Scene-consistent Motion ...
     with: Casas, S.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
     with: Casas, S.: PnPNet: End-to-End Perception and Prediction With Tracking ...
     with: Casas, S.: Radarnet: Exploiting Radar for Robust Perception of Dynamic...
     with: Castrejon, L.: Annotating Object Instances with a Polygon-RNN
     with: Chen, L.C.: Beat the MTurkers: Automatic Image Labeling from Weak 3D S...
     with: Chen, X.J.: Detect What You Can: Detecting and Representing Objects Us...
     with: Chen, X.J.: Role of Context for Object Detection and Semantic Segmenta...
     with: Chen, X.Z.: 3D Object Proposals Using Stereo Imagery for Accurate Obje...
     with: Chen, X.Z.: Monocular 3D Object Detection for Autonomous Driving
     with: Chen, Y.: Dsdnet: Deep Structured Self-driving Network
     with: Chen, Y.: Learning Joint 2D-3D Representations for Depth Completion
     with: Chen, Y.: Learning Lane Graph Representations for Motion Forecasting
     with: Chen, Y.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
     with: Chen, Y.: PnPNet: End-to-End Perception and Prediction With Tracking i...
     with: Cheng, D.: DARNet: Deep Active Ray Network for Building Segmentation
     with: Cheng, F.: Physically Realizable Adversarial Examples for LiDAR Object...
     with: Cheverie, J.: TorontoCity: Seeing the World with a Million Eyes
     with: Cho, N.G.: Role of Context for Object Detection and Semantic Segmentat...
     with: Christoudias, C.M.: Co-training with noisy perceptual observations
     with: Christoudias, C.M.: Learning to Recognize Objects from Unseen Modalities
     with: Christoudias, C.M.: Unsupervised feature selection via distributed cod...
     with: Chu, H.: HouseCraft: Building Houses from Rental Ads and Street Views
     with: Chu, H.: Single Image Intrinsic Decomposition Without a Single Intrins...
     with: Chu, H.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
     with: Chu, H.: TorontoCity: Seeing the World with a Million Eyes
     with: Couprie, M.: Topologically controlled segmentation of 3D magnetic reso...
     with: Dai, B.: Towards Diverse and Natural Image Descriptions via a Conditio...
     with: Darrell, T.J.: Active Learning with Gaussian Processes for Object Cate...
     with: Darrell, T.J.: Co-training with noisy perceptual observations
     with: Darrell, T.J.: Gaussian Processes for Object Categorization
     with: Darrell, T.J.: Learning to Recognize Objects from Unseen Modalities
     with: Darrell, T.J.: Rank Priors for Continuous Non-Linear Dimensionality Re...
     with: Darrell, T.J.: Sparse probabilistic regression for activity-independen...
     with: Darrell, T.J.: Supervised hierarchical Pitman-Yor process for natural ...
     with: Darrell, T.J.: Transferring Nonlinear Representations using Gaussian P...
     with: Darrell, T.J.: Unsupervised feature selection via distributed coding f...
     with: Demirdjian, D.: Patch-Based Pose Inference with a Mixture of Density E...
     with: Dhawan, P.: Conditional Entropy Coding for Efficient Video Compression
     with: Dhawan, P.: Perceive, Predict, and Plan: Safe Motion Planning Through ...
     with: Dokladal, P.: Segmentation of 3D Head MR Images Using Morphological Re...
     with: Dokladal, P.: Topologically controlled segmentation of 3D magnetic res...
     with: Du, R.: Physically Realizable Adversarial Examples for LiDAR Object De...
     with: Duggal, S.: DeepPruner: Learning Efficient Stereo Matching via Differe...
     with: Fan, J.: DAGMapper: Learning to Map by Discovering Lane Topology
     with: Feng, S.: Learning Lane Graph Representations for Motion Forecasting
     with: Fidler, S.: 3D Graph Neural Networks for RGBD Semantic Segmentation
     with: Fidler, S.: 3D Object Proposals Using Stereo Imagery for Accurate Obje...
     with: Fidler, S.: Aligning Books and Movies: Towards Story-Like Visual Expla...
     with: Fidler, S.: Analyzing Semantic Segmentation Using Hybrid Human-Machine...
     with: Fidler, S.: Annotating Object Instances with a Polygon-RNN
     with: Fidler, S.: Be Your Own Prada: Fashion Synthesis with Structural Coher...
     with: Fidler, S.: Beat the MTurkers: Automatic Image Labeling from Weak 3D S...
     with: Fidler, S.: Bottom-Up Segmentation for Top-Down Detection
     with: Fidler, S.: Box in the Box: Joint 3D Layout and Object Reasoning from ...
     with: Fidler, S.: DARNet: Deep Active Ray Network for Building Segmentation
     with: Fidler, S.: Describing the scene as a whole: Joint object detection, s...
     with: Fidler, S.: Detect What You Can: Detecting and Representing Objects Us...
     with: Fidler, S.: DMM-Net: Differentiable Mask-Matching Network for Video Ob...
     with: Fidler, S.: Enhancing Road Maps by Parsing Aerial Images Around the Wo...
     with: Fidler, S.: Generating Multi-sentence Natural Language Descriptions of...
     with: Fidler, S.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground ...
     with: Fidler, S.: High Performance CRF Model for Clothes Parsing, A
     with: Fidler, S.: Holistic 3D scene understanding from a single geo-tagged i...
     with: Fidler, S.: Holistic Scene Understanding for 3D Object Detection with ...
     with: Fidler, S.: HouseCraft: Building Houses from Rental Ads and Street Views
     with: Fidler, S.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
     with: Fidler, S.: Instance-Level Segmentation for Autonomous Driving with De...
     with: Fidler, S.: Lost Shopping! Monocular Localization in Large Indoor Spaces
     with: Fidler, S.: Monocular 3D Object Detection for Autonomous Driving
     with: Fidler, S.: Monocular Object Instance Segmentation and Depth Ordering ...
     with: Fidler, S.: MovieQA: Understanding Stories in Movies through Question-...
     with: Fidler, S.: Neuroaesthetics in fashion: Modeling the perception of fas...
     with: Fidler, S.: Real-time coarse-to-fine topologically preserving segmenta...
     with: Fidler, S.: Rent3D: Floor-plan priors for monocular layout estimation
     with: Fidler, S.: Role of Context for Object Detection and Semantic Segmenta...
     with: Fidler, S.: segDeepM: Exploiting segmentation and context in deep neur...
     with: Fidler, S.: Sentence Is Worth a Thousand Pixels, A
     with: Fidler, S.: SGN: Sequential Grouping Networks for Instance Segmentation
     with: Fidler, S.: Situation Recognition with Graph Neural Networks
     with: Fidler, S.: Sports Field Localization via Deep Structured Models
     with: Fidler, S.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
     with: Fidler, S.: TorontoCity: Seeing the World with a Million Eyes
     with: Fidler, S.: Towards Diverse and Natural Image Descriptions via a Condi...
     with: Fidler, S.: Visual Semantic Search: Retrieving Videos via Complex Text...
     with: Fidler, S.: What Are You Talking About? Text-to-Image Coreference
     with: Fleet, D.J.: 3D People Tracking with Gaussian Process Dynamical Models
     with: Fleet, D.J.: Modeling Human Locomotion with Topologically Constrained ...
     with: Fleet, D.J.: Monocular 3-D Tracking of the Golf Swing
     with: Fleet, D.J.: Priors for People Tracking from Small Training Sets
     with: Fleet, D.J.: Temporal motion models for monocular and multiview 3D hum...
     with: Fua, P.: 3D Human Body Tracking Using Deterministic Temporal Motion Mo...
     with: Fua, P.: 3D People Tracking with Gaussian Process Dynamical Models
     with: Fua, P.: 3D tracking for gait characterization and recognition
     with: Fua, P.: automatic method for determining quaternion field boundaries ...
     with: Fua, P.: constrained latent variable model, A
     with: Fua, P.: Hierarchical implicit surface joint limits for human body tra...
     with: Fua, P.: Hierarchical Implicit Surface Joint Limits to Constrain Video...
     with: Fua, P.: Local deformation models for monocular 3D shape recovery
     with: Fua, P.: Monocular 3-D Tracking of the Golf Swing
     with: Fua, P.: Priors for People Tracking from Small Training Sets
     with: Fua, P.: Temporal motion models for monocular and multiview 3D human b...
     with: Gall, J.: Data-driven animation of hand-object interactions
     with: Garnero, L.: Segmentation of 3D Head MR Images Using Morphological Rec...
     with: Garnero, L.: Topologically controlled segmentation of 3D magnetic reso...
     with: Geiger, A.: 3D Traffic Scene Understanding From Movable Platforms
     with: Geiger, A.: Are we ready for autonomous driving? The KITTI vision benc...
     with: Geiger, A.: Efficient Large-Scale Stereo Matching
     with: Geiger, A.: FollowMe: Efficient Online Min-Cost Flow Tracking with Bou...
     with: Geiger, A.: generative model for 3D urban scene understanding from mov...
     with: Geiger, A.: Lost! Leveraging the Crowd for Probabilistic Visual Self-L...
     with: Geiger, A.: Map-Based Probabilistic Visual Self-Localization
     with: Geiger, A.: Rank Priors for Continuous Non-Linear Dimensionality Reduc...
     with: Geiger, A.: Understanding High-Level Semantics by Modeling Traffic Pat...
     with: Geiger, A.: Vision meets robotics: The KITTI dataset
     with: Grauman, K.: Active Learning with Gaussian Processes for Object Catego...
     with: Grauman, K.: Gaussian Processes for Object Categorization
     with: Gu, J.Y.: Deep Feedback Inverse Problem Solver
     with: Gu, J.Y.: Weakly-supervised 3d Shape Completion in the Wild
     with: Gu, L.: DMM-Net: Differentiable Mask-Matching Network for Video Object...
     with: Gulino, C.: Implicit Latent Variable Model for Scene-consistent Motion...
     with: Guo, R.: Radarnet: Exploiting Radar for Robust Perception of Dynamic O...
     with: Hamer, H.: Data-driven animation of hand-object interactions
     with: Hanson, A.: automatic method for determining quaternion field boundari...
     with: Hazan, T.: Continuous Markov Random Fields for Robust Stereo Estimation
     with: Hazan, T.: Distributed message passing for large scale graphical models
     with: Hazan, T.: Efficient structured prediction for 3D indoor scene underst...
     with: Herda, L.: automatic method for determining quaternion field boundarie...
     with: Herda, L.: Hierarchical implicit surface joint limits for human body t...
     with: Herda, L.: Hierarchical Implicit Surface Joint Limits to Constrain Vid...
     with: Hertzmann, A.: Priors for People Tracking from Small Training Sets
     with: Homayounfar, N.: Convolutional Recurrent Network for Road Boundary Ext...
     with: Homayounfar, N.: DAGMapper: Learning to Map by Discovering Lane Topology
     with: Homayounfar, N.: Hierarchical Recurrent Attention Networks for Structu...
     with: Homayounfar, N.: Levelset R-CNN: A Deep Variational Method for Instanc...
     with: Homayounfar, N.: PolyTransform: Deep Polygon Transformer for Instance ...
     with: Homayounfar, N.: Sports Field Localization via Deep Structured Models
     with: Hu, H.: Dense Reppoints: Representing Visual Objects with Dense Point ...
     with: Hu, R.: Conditional Entropy Coding for Efficient Video Compression
     with: Hu, R.: Deep Rigid Instance Scene Flow
     with: Hu, R.: DeepPruner: Learning Efficient Stereo Matching via Differentia...
     with: Hu, R.: Learning Lane Graph Representations for Motion Forecasting
     with: Hu, R.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
     with: Hu, R.: PnPNet: End-to-End Perception and Prediction With Tracking in ...
     with: Hu, R.: PolyTransform: Deep Polygon Transformer for Instance Segmentat...
     with: Hu, R.: UPSNet: A Unified Panoptic Segmentation Network
     with: Huang, L.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compr...
     with: Jia, J.: 3D Graph Neural Networks for RGBD Semantic Segmentation
     with: Jia, J.: GeoNet: Geometric Neural Network for Joint Depth and Surface ...
     with: Jia, J.: SGN: Sequential Grouping Networks for Instance Segmentation
     with: Jia, J.Y.: Situation Recognition with Graph Neural Networks
     with: Jordan, M.: Supervised hierarchical Pitman-Yor process for natural sce...
     with: Jordan, M.I.: Sufficient dimension reduction for visual sequence class...
     with: Kan, C.: Estimating the 3D Layout of Indoor Scenes and Its Clutter fro...
     with: Kapoor, A.: Active Learning with Gaussian Processes for Object Categor...
     with: Kapoor, A.: Gaussian Processes for Object Categorization
     with: Kapoorz, A.: Co-training with noisy perceptual observations
     with: Kellenberger, B.: Learning Deep Structured Active Contours End-to-End
     with: Kiros, R.: Aligning Books and Movies: Towards Story-Like Visual Explan...
     with: Kong, C.: Generating Multi-sentence Natural Language Descriptions of I...
     with: Kong, C.: Visual Semantic Search: Retrieving Videos via Complex Textua...
     with: Kong, C.: What Are You Talking About? Text-to-Image Coreference
     with: Kundu, K.: 3D Object Proposals Using Stereo Imagery for Accurate Objec...
     with: Kundu, K.: Annotating Object Instances with a Polygon-RNN
     with: Kundu, K.: Exploiting Semantic Information and Deep Matching for Optic...
     with: Kundu, K.: Monocular 3D Object Detection for Autonomous Driving
     with: Kundu, K.: Rent3D: Floor-plan priors for monocular layout estimation
     with: Kundu, K.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
     with: Lakshmikanth, S.K.: Hierarchical Recurrent Attention Networks for Stru...
     with: Lauer, M.: 3D Traffic Scene Understanding From Movable Platforms
     with: Lauer, M.: generative model for 3D urban scene understanding from mova...
     with: Law, M.T.: Efficient Multiple Instance Metric Learning Using Weakly Su...
     with: Lawrence, N.D.: Modeling Human Locomotion with Topologically Constrain...
     with: Lawrence, N.D.: Transferring Nonlinear Representations using Gaussian ...
     with: Lee, S.W.: Role of Context for Object Detection and Semantic Segmentat...
     with: Lenz, P.: Are we ready for autonomous driving? The KITTI vision benchm...
     with: Lenz, P.: FollowMe: Efficient Online Min-Cost Flow Tracking with Bound...
     with: Lenz, P.: Vision meets robotics: The KITTI dataset
     with: Li, R.: Situation Recognition with Graph Neural Networks
     with: Liang, J.: Convolutional Recurrent Network for Road Boundary Extraction
     with: Liang, J.: DAGMapper: Learning to Map by Discovering Lane Topology
     with: Liang, J.: End-to-End Deep Structured Models for Drawing Crosswalks
     with: Liang, J.: Levelset R-CNN: A Deep Variational Method for Instance Segm...
     with: Liang, J.: PolyTransform: Deep Polygon Transformer for Instance Segmen...
     with: Liang, J.: TorontoCity: Seeing the World with a Million Eyes
     with: Liang, M.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
     with: Liang, M.: Learning Joint 2D-3D Representations for Depth Completion
     with: Liang, M.: Learning Lane Graph Representations for Motion Forecasting
     with: Liang, M.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
     with: Liang, M.: Physically Realizable Adversarial Examples for LiDAR Object...
     with: Liang, M.: PnPNet: End-to-End Perception and Prediction With Tracking ...
     with: Liang, M.: Radarnet: Exploiting Radar for Robust Perception of Dynamic...
     with: Liang, M.: Testing the Safety of Self-driving Vehicles by Simulating P...
     with: Liang, M.: V2vnet: Vehicle-to-vehicle Communication for Joint Percepti...
     with: Liao, R.: 3D Graph Neural Networks for RGBD Semantic Segmentation
     with: Liao, R.: DMM-Net: Differentiable Mask-Matching Network for Video Obje...
     with: Liao, R.: GeoNet: Geometric Neural Network for Joint Depth and Surface...
     with: Liao, R.: Learning Deep Structured Active Contours End-to-End
     with: Liao, R.J.: DARNet: Deep Active Ray Network for Building Segmentation
     with: Liao, R.J.: Dsdnet: Deep Structured Self-driving Network
     with: Liao, R.J.: Implicit Latent Variable Model for Scene-consistent Motion...
     with: Liao, R.J.: Learning Lane Graph Representations for Motion Forecasting
     with: Liao, R.J.: Situation Recognition with Graph Neural Networks
     with: Liao, R.J.: Testing the Safety of Self-driving Vehicles by Simulating ...
     with: Liao, R.J.: UPSNet: A Unified Panoptic Segmentation Network
     with: Lin, D.: Be Your Own Prada: Fashion Synthesis with Structural Coherence
     with: Lin, D.: Generating Multi-sentence Natural Language Descriptions of In...
     with: Lin, D.: Holistic Scene Understanding for 3D Object Detection with RGB...
     with: Lin, D.: Towards Diverse and Natural Image Descriptions via a Conditio...
     with: Lin, D.: Visual Semantic Search: Retrieving Videos via Complex Textual...
     with: Lin, D.: What Are You Talking About? Text-to-Image Coreference
     with: Lin, S.: Dense Reppoints: Representing Visual Objects with Dense Point...
     with: Liu, C.X.: Rent3D: Floor-plan priors for monocular layout estimation
     with: Liu, J.: Conditional Entropy Coding for Efficient Video Compression
     with: Liu, J.: DSIC: Deep Stereo Image Compression
     with: Liu, J.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compres...
     with: Liu, S.: SGN: Sequential Grouping Networks for Instance Segmentation
     with: Liu, X.B.: Detect What You Can: Detecting and Representing Objects Usi...
     with: Liu, X.B.: Role of Context for Object Detection and Semantic Segmentat...
     with: Liu, Z.: GeoNet: Geometric Neural Network for Joint Depth and Surface ...
     with: Loy, C.C.: Be Your Own Prada: Fashion Synthesis with Structural Cohere...
     with: Luo, K.: Implicit Latent Variable Model for Scene-consistent Motion Fo...
     with: Luo, W.: DeepRoadMapper: Extracting Road Topology from Aerial Images
     with: Luo, W.: Efficient Convolutions for Real-Time Semantic Segmentation of...
     with: Luo, W.: Efficient Deep Learning for Stereo Matching
     with: Luo, W.: Fast and Furious: Real Time End-to-End 3D Detection, Tracking...
     with: Luo, W.: TorontoCity: Seeing the World with a Million Eyes
     with: Luo, W.J.: End-To-End Interpretable Neural Motion Planner
     with: Luo, W.J.: Exploiting Deep Matching and SAR Data for the Geo-Localizat...
     with: Luo, W.J.: Exploiting Semantic Information and Deep Matching for Optic...
     with: Luo, W.J.: PIXOR: Real-time 3D Object Detection from Point Clouds
     with: Ma, H.M.: 3D Object Proposals Using Stereo Imagery for Accurate Object...
     with: Ma, H.M.: Monocular 3D Object Detection for Autonomous Driving
     with: Ma, W.: DAGMapper: Learning to Map by Discovering Lane Topology
     with: Ma, W.: Deep Parametric Continuous Convolutional Neural Networks
     with: Ma, W.: DeepPruner: Learning Efficient Stereo Matching via Differentia...
     with: Ma, W.: Hierarchical Recurrent Attention Networks for Structured Onlin...
     with: Ma, W.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real Wo...
     with: Ma, W.: PolyTransform: Deep Polygon Transformer for Instance Segmentat...
     with: Ma, W.C.: Conditional Entropy Coding for Efficient Video Compression
     with: Ma, W.C.: Convolutional Recurrent Network for Road Boundary Extraction
     with: Ma, W.C.: Deep Feedback Inverse Problem Solver
     with: Ma, W.C.: Deep Rigid Instance Scene Flow
     with: Ma, W.C.: Levelset R-CNN: A Deep Variational Method for Instance Segme...
     with: Ma, W.C.: Single Image Intrinsic Decomposition Without a Single Intrin...
     with: Ma, W.C.: SurfConv: Bridging 3D and 2D Convolution for RGBD Images
     with: Ma, W.C.: Weakly-supervised 3d Shape Completion in the Wild
     with: Manivasagam, S.: Deep Feedback Inverse Problem Solver
     with: Manivasagam, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging th...
     with: Manivasagam, S.: Physically Realizable Adversarial Examples for LiDAR ...
     with: Manivasagam, S.: V2vnet: Vehicle-to-vehicle Communication for Joint Pe...
     with: Manivasagam, S.: Weakly-supervised 3d Shape Completion in the Wild
     with: Marcos, D.: Learning Deep Structured Active Contours End-to-End
     with: Martinez, J.: Learning to Localize Through Compressed Binary Maps
     with: Mattyus, G.: DeepRoadMapper: Extracting Road Topology from Aerial Images
     with: Mattyus, G.: Enhancing Road Maps by Parsing Aerial Images Around the W...
     with: Mattyus, G.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground...
     with: Mattyus, G.: Matching Adversarial Networks
     with: Mattyus, G.: TorontoCity: Seeing the World with a Million Eyes
     with: McAllester, D.: Continuous Markov Random Fields for Robust Stereo Esti...
     with: McAllester, D.: Efficient Joint Segmentation, Occlusion Labeling, Ster...
     with: McAllester, D.: Robust Monocular Epipolar Flow Estimation
     with: Merkle, N.: Exploiting Deep Matching and SAR Data for the Geo-Localiza...
     with: Miki, Y.: Estimating Drivable Collision-Free Space from Monocular Video
     with: Moreno Noguer, F.: High Performance CRF Model for Clothes Parsing, A
     with: Moreno Noguer, F.: Neuroaesthetics in fashion: Modeling the perception...
     with: Mottaghi, R.: Analyzing Semantic Segmentation Using Hybrid Human-Machi...
     with: Mottaghi, R.: Bottom-Up Segmentation for Top-Down Detection
     with: Mottaghi, R.: Detect What You Can: Detecting and Representing Objects ...
     with: Mottaghi, R.: Human-Machine CRFs for Identifying Bottlenecks in Scene ...
     with: Mottaghi, R.: Role of Context for Object Detection and Semantic Segmen...
     with: Muller, R.: Exploiting Deep Matching and SAR Data for the Geo-Localiza...
     with: Parikh, D.: Analyzing Semantic Segmentation Using Hybrid Human-Machine...
     with: Parikh, D.: Human-Machine CRFs for Identifying Bottlenecks in Scene Un...
     with: Pokrovsky, A.: Deep Parametric Continuous Convolutional Neural Networks
     with: Pokrovsky, A.: SBNet: Sparse Blocks Network for Fast Inference
     with: Pollefeys, M.: Box in the Box: Joint 3D Layout and Object Reasoning fr...
     with: Pollefeys, M.: Distributed message passing for large scale graphical m...
     with: Pollefeys, M.: Efficient structured prediction for 3D indoor scene und...
     with: Qi, X.: 3D Graph Neural Networks for RGBD Semantic Segmentation
     with: Qi, X.: GeoNet: Geometric Neural Network for Joint Depth and Surface N...
     with: Quattoni, A.: Transferring Nonlinear Representations using Gaussian Pr...
     with: Ramalingam, S.: Estimating Drivable Collision-Free Space from Monocula...
     with: Ren, M.: Physically Realizable Adversarial Examples for LiDAR Object D...
     with: Ren, M.Y.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
     with: Ren, M.Y.: SBNet: Sparse Blocks Network for Fast Inference
     with: Roser, M.: Efficient Large-Scale Stereo Matching
     with: Ruijters, D.: Topologically controlled segmentation of 3D magnetic res...
     with: Sadat, A.: End-To-End Interpretable Neural Motion Planner
     with: Sadat, A.: Perceive, Predict, and Plan: Safe Motion Planning Through I...
     with: Sadat, A.: Testing the Safety of Self-driving Vehicles by Simulating P...
     with: Salakhutdinov, R.: Aligning Books and Movies: Towards Story-Like Visua...
     with: Salakhutdinov, R.: segDeepM: Exploiting segmentation and context in de...
     with: Salzmann, M.: Beyond Feature Points: Structured Prediction for Monocul...
     with: Salzmann, M.: Combining discriminative and generative methods for 3D d...
     with: Salzmann, M.: constrained latent variable model, A
     with: Salzmann, M.: Learning to Recognize Objects from Unseen Modalities
     with: Salzmann, M.: Local deformation models for monocular 3D shape recovery
     with: Salzmann, M.: Physically-based motion models for 3D tracking: A convex...
     with: Sazanovich, M.: LiDARsim: Realistic LiDAR Simulation by Leveraging the...
     with: Schwing, A.: Distributed message passing for large scale graphical mod...
     with: Schwing, A.G.: Box in the Box: Joint 3D Layout and Object Reasoning fr...
     with: Schwing, A.G.: Efficient Deep Learning for Stereo Matching
     with: Schwing, A.G.: Efficient Exact Inference for 3D Indoor Scene Understan...
     with: Schwing, A.G.: Efficient structured prediction for 3D indoor scene und...
     with: Schwing, A.G.: Estimating the 3D Layout of Indoor Scenes and Its Clutt...
     with: Schwing, A.G.: Learning to segment under various forms of weak supervi...
     with: Schwing, A.G.: Monocular Object Instance Segmentation and Depth Orderi...
     with: Schwing, A.G.: Rent3D: Floor-plan priors for monocular layout estimation
     with: Schwing, A.G.: Tell Me What You See and I Will Show You Where It Is
     with: Shah, M.: Conditional Entropy Coding for Efficient Video Compression
     with: Sharma, A.: Sentence Is Worth a Thousand Pixels, A
     with: Shyr, A.: Sufficient dimension reduction for visual sequence classific...
     with: Shyr, A.: Supervised hierarchical Pitman-Yor process for natural scene...
     with: Simo Serra, E.: High Performance CRF Model for Clothes Parsing, A
     with: Simo Serra, E.: Neuroaesthetics in fashion: Modeling the perception of...
     with: Stiefelhagen, R.: MovieQA: Understanding Stories in Movies through Que...
     with: Stiefelhagen, R.: Rank Priors for Continuous Non-Linear Dimensionality...
     with: Stiller, C.: 3D Traffic Scene Understanding From Movable Platforms
     with: Stiller, C.: Vision meets robotics: The KITTI dataset
     with: Su, H.: Weakly-supervised 3d Shape Completion in the Wild
     with: Suo, S.: Deep Parametric Continuous Convolutional Neural Networks
     with: Suo, S.: End-To-End Interpretable Neural Motion Planner
     with: Suo, S.: Implicit Latent Variable Model for Scene-consistent Motion Fo...
     with: Taguchi, Y.C.: Estimating Drivable Collision-Free Space from Monocular...
     with: Tan, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real W...
     with: Tapaswi, M.: MovieQA: Understanding Stories in Movies through Question...
     with: Tapaswi, M.: Situation Recognition with Graph Neural Networks
     with: Torralba, A.: Deep Feedback Inverse Problem Solver
     with: Torralba, A.B.: Aligning Books and Movies: Towards Story-Like Visual E...
     with: Torralba, A.B.: MovieQA: Understanding Stories in Movies through Quest...
     with: Torralba, A.B.: Single Image Intrinsic Decomposition Without a Single ...
     with: Tu, J.: Physically Realizable Adversarial Examples for LiDAR Object De...
     with: Tuia, D.: Learning Deep Structured Active Contours End-to-End
     with: Urtasun, R.: Deep Watershed Transform for Instance Segmentation
     with: Van Gool, L.J.: Data-driven animation of hand-object interactions
     with: Varol, A.: constrained latent variable model, A
     with: Wang, L.: Dense Reppoints: Representing Visual Objects with Dense Poin...
     with: Wang, S.: Deep Parametric Continuous Convolutional Neural Networks
     with: Wang, S.: DeepPruner: Learning Efficient Stereo Matching via Different...
     with: Wang, S.: Learning to Localize Through Compressed Binary Maps
     with: Wang, S.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
     with: Wang, S.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compre...
     with: Wang, S.: TorontoCity: Seeing the World with a Million Eyes
     with: Wang, S.L.: Conditional Entropy Coding for Efficient Video Compression
     with: Wang, S.L.: Convolutional Recurrent Network for Road Boundary Extraction
     with: Wang, S.L.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
     with: Wang, S.L.: Deep Feedback Inverse Problem Solver
     with: Wang, S.L.: Deep Rigid Instance Scene Flow
     with: Wang, S.L.: Dsdnet: Deep Structured Self-driving Network
     with: Wang, S.L.: DSIC: Deep Stereo Image Compression
     with: Wang, S.L.: Enhancing Road Maps by Parsing Aerial Images Around the Wo...
     with: Wang, S.L.: HD Maps: Fine-Grained Road Segmentation by Parsing Ground ...
     with: Wang, S.L.: Holistic 3D scene understanding from a single geo-tagged i...
     with: Wang, S.L.: HouseCraft: Building Houses from Rental Ads and Street Views
     with: Wang, S.L.: Lost Shopping! Monocular Localization in Large Indoor Spaces
     with: Wang, S.L.: Transductive Gaussian processes for image denoising
     with: Wang, T.H.: V2vnet: Vehicle-to-vehicle Communication for Joint Percept...
     with: Wang, Z.H.: Weakly-supervised 3d Shape Completion in the Wild
     with: Wei, X.K.: Learning to Localize Through Compressed Binary Maps
     with: Wojek, C.: 3D Traffic Scene Understanding From Movable Platforms
     with: Wong, K.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
     with: Wong, K.: OctSqueeze: Octree-Structured Entropy Model for LiDAR Compre...
     with: Wong, K.: Testing the Safety of Self-driving Vehicles by Simulating Pe...
     with: Wu, X.: DAGMapper: Learning to Map by Discovering Lane Topology
     with: Wu, X.Y.: Perceive, Predict, and Plan: Safe Motion Planning Through In...
     with: Xing, E.P.: Efficient Multiple Instance Metric Learning Using Weakly S...
     with: Xiong, Y.: Deep Rigid Instance Scene Flow
     with: Xiong, Y.: DMM-Net: Differentiable Mask-Matching Network for Video Obj...
     with: Xiong, Y.: Levelset R-CNN: A Deep Variational Method for Instance Segm...
     with: Xiong, Y.: PolyTransform: Deep Polygon Transformer for Instance Segmen...
     with: Xiong, Y.: UPSNet: A Unified Panoptic Segmentation Network
     with: Xiong, Y.: Weakly-supervised 3d Shape Completion in the Wild
     with: Xu, J.: Learning to segment under various forms of weak supervision
     with: Xu, J.: Tell Me What You See and I Will Show You Where It Is
     with: Xu, Y.H.: Dense Reppoints: Representing Visual Objects with Dense Poin...
     with: Xue, H.: Dense Reppoints: Representing Visual Objects with Dense Point...
     with: Yamaguchi, K.: Continuous Markov Random Fields for Robust Stereo Estim...
     with: Yamaguchi, K.: Efficient Joint Segmentation, Occlusion Labeling, Stere...
     with: Yamaguchi, K.: Robust Monocular Epipolar Flow Estimation
     with: Yang, B.: Deep Continuous Fusion for Multi-sensor 3D Object Detection
     with: Yang, B.: Dsdnet: Deep Structured Self-driving Network
     with: Yang, B.: End-To-End Interpretable Neural Motion Planner
     with: Yang, B.: Fast and Furious: Real Time End-to-End 3D Detection, Trackin...
     with: Yang, B.: Learning Joint 2D-3D Representations for Depth Completion
     with: Yang, B.: Learning Lane Graph Representations for Motion Forecasting
     with: Yang, B.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
     with: Yang, B.: Multi-Task Multi-Sensor Fusion for 3D Object Detection
     with: Yang, B.: Physically Realizable Adversarial Examples for LiDAR Object ...
     with: Yang, B.: PIXOR: Real-time 3D Object Detection from Point Clouds
     with: Yang, B.: PnPNet: End-to-End Perception and Prediction With Tracking i...
     with: Yang, B.: Radarnet: Exploiting Radar for Robust Perception of Dynamic ...
     with: Yang, B.: SBNet: Sparse Blocks Network for Fast Inference
     with: Yang, B.: Testing the Safety of Self-driving Vehicles by Simulating Pe...
     with: Yang, B.: TorontoCity: Seeing the World with a Million Eyes
     with: Yang, B.: V2vnet: Vehicle-to-vehicle Communication for Joint Perceptio...
     with: Yang, Z.: Dense Reppoints: Representing Visual Objects with Dense Poin...
     with: Yao, J.: Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
     with: Yao, J.: Describing the scene as a whole: Joint object detection, scen...
     with: Yao, J.: Estimating Drivable Collision-Free Space from Monocular Video
     with: Yao, J.: Real-time coarse-to-fine topologically preserving segmentation
     with: Yu, Y.: Efficient Multiple Instance Metric Learning Using Weakly Super...
     with: Yuille, A.L.: Bottom-Up Segmentation for Top-Down Detection
     with: Yuille, A.L.: Detect What You Can: Detecting and Representing Objects ...
     with: Yuille, A.L.: Human-Machine CRFs for Identifying Bottlenecks in Scene ...
     with: Yuille, A.L.: Role of Context for Object Detection and Semantic Segmen...
     with: Yumer, E.: UPSNet: A Unified Panoptic Segmentation Network
     with: Zemel, R.: Aligning Books and Movies: Towards Story-Like Visual Explan...
     with: Zemel, R.S.: Efficient Multiple Instance Metric Learning Using Weakly ...
     with: Zeng, W.: LiDARsim: Realistic LiDAR Simulation by Leveraging the Real ...
     with: Zeng, W.: PnPNet: End-to-End Perception and Prediction With Tracking i...
     with: Zeng, W.Y.: Dsdnet: Deep Structured Self-driving Network
     with: Zeng, W.Y.: End-To-End Interpretable Neural Motion Planner
     with: Zeng, W.Y.: V2vnet: Vehicle-to-vehicle Communication for Joint Percept...
     with: Zeng, W.Y.: Weakly-supervised 3d Shape Completion in the Wild
     with: Zeng, X.: DMM-Net: Differentiable Mask-Matching Network for Video Obje...
     with: Zhang, C.: Efficient Convolutions for Real-Time Semantic Segmentation ...
     with: Zhang, H.Y.: Understanding High-Level Semantics by Modeling Traffic Pa...
     with: Zhang, J.: Estimating the 3D Layout of Indoor Scenes and Its Clutter f...
     with: Zhang, L.: Learning Deep Structured Active Contours End-to-End
     with: Zhang, L.: Transductive Gaussian processes for image denoising
     with: Zhang, Q.A.: Testing the Safety of Self-driving Vehicles by Simulating...
     with: Zhang, Z.: Dense Reppoints: Representing Visual Objects with Dense Poi...
     with: Zhang, Z.Y.: Instance-Level Segmentation for Autonomous Driving with D...
     with: Zhang, Z.Y.: Monocular 3D Object Detection for Autonomous Driving
     with: Zhang, Z.Y.: Monocular Object Instance Segmentation and Depth Ordering...
     with: Zhao, H.S.: UPSNet: A Unified Panoptic Segmentation Network
     with: Zhou, B.L.: Single Image Intrinsic Decomposition Without a Single Intr...
     with: Zhu, S.: Be Your Own Prada: Fashion Synthesis with Structural Coherence
     with: Zhu, Y.: 3D Object Proposals Using Stereo Imagery for Accurate Object ...
     with: Zhu, Y.: Aligning Books and Movies: Towards Story-Like Visual Explanat...
     with: Zhu, Y.: MovieQA: Understanding Stories in Movies through Question-Ans...
     with: Zhu, Y.: segDeepM: Exploiting segmentation and context in deep neural ...
456 for Urtasun, R.

Index for "u"


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