Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Robotics: Science and Systems

• Publication date

  2016-06-18

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.15607/RSS.2016.XII.041
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

  2015influential reference
• Sensor fusion for semantic segmentation of urban scenes

  2015influential reference
• Im2depth: Scalable exemplar based depth transfer

  2014cited by this paper
• Semantic segmentation with heterogeneous sensor coverages

  2014influential reference
• Caffe: Convolutional Architecture for Fast Feature Embedding

  2014cited by this paper
• Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

  2014influential reference
• Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture

  2014cited by this paper
• Pulling Things out of Perspective

  2014cited by this paper
• Deep convolutional neural fields for depth estimation from a single image

  2014cited by this paper
• Shape Anchors for Data-Driven Multi-view Reconstruction

  2013cited by this paper
• Are we ready for autonomous driving? The KITTI vision benchmark suite

  2012cited by this paper
• Multimodal learning with deep Boltzmann machines

  2012cited by this paper
• Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

  2012cited by this paper
• Practical Recommendations for Gradient-Based Training of Deep Architectures

  2012cited by this paper
• Image Denoising and Inpainting with Deep Neural Networks

  2012cited by this paper
• Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction

  2011cited by this paper
• Manhattan scene understanding using monocular, stereo, and 3D features

  2011cited by this paper
• Multimodal Deep Learning

  2011influential reference
• StereoScan: Dense 3d reconstruction in real-time

  2011cited by this paper
• Object Detection with Discriminatively Trained Part Based Models

  2010cited by this paper
• Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

  2010influential reference
• CS 229 Final Project : Single Image Depth Estimation From Predicted Semantic Labels

  2009cited by this paper
• Make3D: Learning 3D Scene Structure from a Single Still Image

  2009cited by this paper
• Putting Objects in Perspective

  2006cited by this paper
• Automatic photo pop-up

  2005cited by this paper
• Learning Depth from Single Monocular Images

  2005cited by this paper
• Single View Metrology

  2000cited by this paper

• Multitask affinity learning for quantitative ultrasound imaging

  2025cites this paper
• TDZS: top semantic embedding and dynamic feature matching for zero-shot skeleton action recognition

  2025cites this paper
• DynaPURLS: Dynamic Refinement of Part-aware Representations for Skeleton-based Zero-Shot Action Recognition

  2025cites this paper
• KR2LLM: Spatial Cues-aware Keypoints Relationship Representation for 3D Human Pose Estimation via Large Language Models in Educational Contexts

  2025cites this paper
• A systematic review of multimodal fusion technologies for food quality and safety assessment: recent advances and future trends

  2025cites this paper
• Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection

  2025cites this paper
• Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition

  2025cites this paper
• Multi-Modal Data Fusion for Moisture Content Prediction in Apple Drying

  2025cites this paper
• GeoAuxNet: Towards Universal 3D Representation Learning for Multi-Sensor Point Clouds

  2024cites this paper
• Enhancing security of Internet of Robotic Things: A review of recent trends, practices, and recommendations with encryption and blockchain techniques

  2024cites this paper
• Multi-modal Relation Distillation for Unified 3D Representation Learning

  2024cites this paper
• Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding

  2024cites this paper
• Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition

  2024cites this paper
• Agent3D-Zero: An Agent for Zero-shot 3D Understanding

  2024cites this paper
• UniG3D: A Unified 3D Object Generation Dataset

  2023cites this paper
• Immunity to Mutual Interference in Coded Phase-Shift LiDAR

  2023cites this paper
• An adaptive network model-based weighted similarity measure for CT image denoising

  2023cites this paper
• Monitoring the impacts of crop residue cover on agricultural productivity and soil chemical and physical characteristics

  2023cites this paper
• Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion

  2023cites this paper
• Structure-guided camera localization for indoor environments

  2023cites this paper
• ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding

  2023cites this paper
• Bayesian cue integration of structure from motion and CNN-based monocular depth estimation for autonomous robot navigation

  2022cites this paper
• ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding

  2022cites this paper
• ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

  2022cites this paper
• Photon-Efficient 3D Reconstruction with A Coarse-to-Fine Neural Network

  2022cites this paper
• Integration of Multimodal Data from Disparate Sources for Identifying Disease Subtypes

  2022cites this paper
• Semantics for Robotic Mapping, Perception and Interaction: A Survey

  2021cites this paper
• Utilizing unsupervised learning, multi-view imaging, and CNN-based attention facilitates cost-effective wetland mapping

  2021cites this paper
• Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR

  2021cites this paper
• Neural Variational Learning for Grounded Language Acquisition

  2021cites this paper
• Deep Lucas-Kanade Homography for Multimodal Image Alignment

  2021cites this paper
• Visionary: Vision architecture discovery for robot learning

  2021cites this paper
• Resonant scanning design and control for fast spatial sampling

  2021cites this paper
• S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

  2021cites this paper
• Learning Steering Kernels for Guided Depth Completion

  2021cites this paper
• A Stacked LSTM-Based Approach for Reducing Semantic Pose Estimation Error

  2021cites this paper
• SPADnet: deep RGB-SPAD sensor fusion assisted by monocular depth estimation.

  2020cites this paper
• Multifactor consciousness level assessment of participants with acquired brain injuries employing human–computer interfaces

  2020cites this paper
• A Deep Learning Method to Accelerate the Disaster Response Process

  2020cites this paper
• 3D map-guided single indoor image localization refinement

  2020cites this paper
• Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators

  2020influential citation
• MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening

  2020influential citation
• S2DNet: Depth Estimation From Single Image and Sparse Samples

  2020cites this paper
• Learning Depth for Scene Reconstruction Using an Encoder-Decoder Model

  2020influential citation
• Multi-Modal Stacked Denoising Autoencoder for Handling Missing Data in Healthcare Big Data

  2020cites this paper
• Image Analysis and Recognition: 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I

  2020cites this paper
• A Deep Learning Framework for Robust Semantic SLAM

  2020cites this paper
• Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models

  2020cites this paper
• Depth Completion with RGB Prior

  2020cites this paper
• Learning Non-Unique Segmentation with Reward-Penalty Dice Loss

  2020cites this paper
• On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation

  2020cites this paper
• Depth Estimation From Single Image And Semantic Prior

  2020cites this paper
• Merging Well-Trained Deep CNN Models for Efficient Inference

  2020cites this paper
• A Multiclass Object and Depth Estimation Deep Model for Humanoids Robots in a Soccer Simulated Dataset

  2019cites this paper
• Deep Monocular Depth Estimation in Partially-Known Environments

  2019cites this paper
• SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations

  2019cites this paper
• Aggregation of Rich Depth-Aware Features in a Modified Stacked Generalization Model for Single Image Depth Estimation

  2019influential citation
• Mix and match networks: multi-domain alignment for unpaired image-to-image translation

  2019cites this paper
• Deep Interpretable Non-Rigid Structure from Motion

  2019cites this paper
• Full Resolution Dense Depth Recovery by Fusing RGB Images and Sparse Depth*

  2019cites this paper
• Jointly Trained Variational Autoencoder for Multi-Modal Sensor Fusion

  2019cites this paper
• Deep Learning-Based Obstacle Detection and Depth Estimation

  2019cites this paper
• Deep Learning for Multimodal Data Fusion

  2019cites this paper
• Partial Convolution Based Multimodal Autoencoder for Art Investigation

  2019cites this paper
• Real-Time Depth Estimation with an Optimized Encoder-Decoder Architecture on Embedded Devices

  2019influential citation
• Semi-supervised Depth Estimation from Sparse Depth and a Single Image for Dense Map Construction

  2019influential citation
• Multi-Modal Generative Models for Learning Epistemic Active Sensing

  2019cites this paper
• Wormhole Learning

  2019cites this paper
• Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

  2019cites this paper
• Deep Non-Rigid Structure From Motion

  2019cites this paper
• Deep Learning for Category-Free Grounded Language Acquisition

  2019cites this paper
• Multi-task Network Embedding with Adaptive Loss Weighting

  2019cites this paper
• Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators

  2019influential citation
• Prediction Model of User Physical Activity using Data Characteristics-based Long Short-term Memory Recurrent Neural Networks

  2019cites this paper
• Mix and Match Networks: Cross-Modal Alignment for Zero-Pair Image-to-Image Translation

  2019cites this paper
• Sparse Depth Map Interpolation using Deep Convolutional Neural Networks

  2018cites this paper
• Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation

  2018cites this paper
• CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM

  2018cites this paper
• A Survey on Deep Learning Methods for Robot Vision

  2018cites this paper
• Indoor Scene Understanding in 2.5/3D: A Survey

  2018cites this paper
• Super-resolution of interpolated downsampled semi-dense depth map

  2018cites this paper
• Evaluation of colorectal cancer subtypes and cell lines using deep learning

  2018cites this paper
• Inferring Depth Maps from 2-Dimensional Laser Ranging Data in a Simulated Environment

  2018cites this paper
• Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry

  2018cites this paper
• Deep Interpretable Non-rigid Structure from Motion

  2018cites this paper
• Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey

  2018cites this paper
• FarSight: Long-Range Depth Estimation from Outdoor Images

  2018cites this paper
• Deep hierarchical guidance and regularization learning for end-to-end depth estimation

  2018cites this paper
• Modular Sensor Fusion for Semantic Segmentation

  2018cites this paper
• Fast Semi-dense Depth Map Estimation

  2018cites this paper
• Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

  2017cites this paper
• J-MOD2: Joint Monocular Obstacle Detection and Depth Estimation

  2017influential citation
• A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments

  2017cites this paper
• Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

  2017cites this paper
• Multi-task Learning Using Multi-modal Encoder-Decoder Networks with Shared Skip Connections

  2017influential citation
• Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

  2016cites this paper
• A Survey of Multi-View Representation Learning

  2016cites this paper
• Measuring the performance of single image depth estimation methods

  2016cites this paper
• Please cite the paper as

  2016cites this paper
• Parse geometry from a line: Monocular depth estimation with partial laser observation

  2016influential citation