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Learning to Localize Little Landmarks

https://doi.org/10.1109/cvpr.2016.35

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_22openalex-snapshot

Human Pose Estimation with Fields of Parts

inferredcites →https://doi.org/10.1007/978-3-319-10605-2_3openalex-snapshot

Pose Machines: Articulated Pose Estimation via Inference Machines

inferredcites →https://doi.org/10.1007/978-3-319-10605-2_30openalex-snapshot

Part-Pair Representation for Part Localization

inferredcites →https://doi.org/10.1007/978-3-642-15552-9_30openalex-snapshot

Cascaded Models for Articulated Pose Estimation

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_17openalex-snapshot

Improved Human Parsing with a Full Relational Model

inferredcites →https://doi.org/10.1007/978-3-642-33709-3_6openalex-snapshot

Unsupervised Discovery of Mid-Level Discriminative Patches

inferredcites →https://doi.org/10.1007/978-3-642-37331-2_11openalex-snapshot

Appearance Sharing for Collective Human Pose Estimation

inferredcites →https://doi.org/10.1007/s11263-012-0529-4openalex-snapshot

Improving Image Classification Using Semantic Attributes

inferredcites →https://doi.org/10.1109/cvpr.2009.5206754openalex-snapshot

Pictorial structures revisited: People detection and articulated pose estimation

inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot

ImageNet: A large-scale hierarchical image database

inferredcites →https://doi.org/10.1109/cvpr.2010.5540232openalex-snapshot

The chains model for detecting parts by their context

inferredcites →https://doi.org/10.1109/cvpr.2011.5995519openalex-snapshot

Learning hierarchical poselets for human parsing

inferredcites →https://doi.org/10.1109/cvpr.2013.124openalex-snapshot

Blocks That Shout: Distinctive Parts for Scene Classification

inferredcites →https://doi.org/10.1109/cvpr.2013.391openalex-snapshot

Human Pose Estimation Using Body Parts Dependent Joint Regressors

inferredcites →https://doi.org/10.1109/cvpr.2014.214openalex-snapshot

DeepPose: Human Pose Estimation via Deep Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2014.299openalex-snapshot

Multi-source Deep Learning for Human Pose Estimation

inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7298621openalex-snapshot

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction

inferredcites →https://doi.org/10.1109/cvpr.2015.7298964openalex-snapshot

Learning a sequential search for landmarks

inferredcites →https://doi.org/10.1109/cvpr.2016.512openalex-snapshot

Human Pose Estimation with Iterative Error Feedback

inferredcites →https://doi.org/10.1109/iccv.2005.9openalex-snapshot

A hierarchical field framework for unified context-based classification

inferredcites →https://doi.org/10.1109/iccv.2013.313openalex-snapshot

Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency

inferredcites →https://doi.org/10.1109/iccv.2013.422openalex-snapshot

Learning Discriminative Part Detectors for Image Classification and Cosegmentation

inferredcites →https://doi.org/10.1109/iccv.2013.433openalex-snapshot

Strong Appearance and Expressive Spatial Models for Human Pose Estimation

inferredcites →https://doi.org/10.1109/iccvw.2013.77openalex-snapshot

3D Object Representations for Fine-Grained Categorization

inferredcites →https://doi.org/10.1109/tpami.2009.167openalex-snapshot

Object Detection with Discriminatively Trained Part-Based Models

inferredcites →https://doi.org/10.1109/tpami.2009.186openalex-snapshot

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

inferredcites →https://doi.org/10.1109/tpami.2012.261openalex-snapshot

Articulated Human Detection with Flexible Mixtures of Parts

inferredcites →https://doi.org/10.1145/2185520.2185597openalex-snapshot

What makes Paris look like Paris?

inferredcites →https://doi.org/10.48550/arxiv.1211.5063openalex-snapshot

On the difficulty of training Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1406.6247openalex-snapshot

Recurrent Models of Visual Attention

inferredcites →https://doi.org/10.48550/arxiv.1407.3399openalex-snapshot

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

Neural Machine Translation by Jointly Learning to Align and Translate

inferredcites →https://doi.org/10.48550/arxiv.1412.6598openalex-snapshot

Automatic Discovery and Optimization of Parts for Image Classification

inferredcites →https://doi.org/10.48550/arxiv.1412.7755openalex-snapshot

Multiple Object Recognition with Visual Attention

inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

inferredcites →https://doi.org/10.5244/c.23.3openalex-snapshot

Better appearance models for pictorial structures

inferredcites →https://doi.org/10.5244/c.24.12openalex-snapshot

Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation

inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot

Return of the Devil in the Details: Delving Deep into Convolutional Nets

inferredcites →https://doi.org/10.5244/c.29.128openalex-snapshot

Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-20890-5_16openalex-snapshot

Aligning Salient Objects to Queries: A Multi-modal and Multi-object Image Retrieval Framework

inferred← citeshttps://doi.org/10.1109/cvpr.2017.174openalex-snapshot

Interspecies Knowledge Transfer for Facial Keypoint Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00864openalex-snapshot

Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation

inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00047openalex-snapshot

Discovering Relationships between Object Categories via Universal Canonical Maps

inferred← citeshttps://doi.org/10.1109/ist.2017.8261539openalex-snapshot

Localize car door handles with image segmentation and saliency detection

inferred← citeshttps://doi.org/10.1109/tmi.2019.2930679openalex-snapshot

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

inferred← citeshttps://doi.org/10.15760/etd.6703openalex-snapshot

Localizing Little Landmarks with Transfer Learning

inferred← citeshttps://doi.org/10.15760/etd.7320openalex-snapshot

Leveraging Model Flexibility and Deep Structure: Non-Parametric and Deep Models for Computer Vision Processes with Applications to Deep Model Compression

inferred← citeshttps://doi.org/10.1609/aaai.v31i1.11197openalex-snapshot

Attention Correctness in Neural Image Captioning

inferred← citeshttps://doi.org/10.1609/aaai.v32i1.12026openalex-snapshot

Learning Interpretable Spatial Operations in a Rich 3D Blocks World

inferred← citeshttps://doi.org/10.48550/arxiv.1607.00548openalex-snapshot

Active Object Localization in Visual Situations

inferred← citeshttps://doi.org/10.48550/arxiv.1610.06620openalex-snapshot

Proposing Plausible Answers for Open-ended Visual Question Answering

inferred← citeshttps://doi.org/10.48550/arxiv.1704.04023openalex-snapshot

Interspecies Knowledge Transfer for Facial Keypoint Detection

inferred← citeshttps://doi.org/10.48550/arxiv.1904.04850openalex-snapshot

A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement

inferred← citeshttps://doi.org/10.48550/arxiv.2106.09758openalex-snapshot

Discovering Relationships between Object Categories via Universal Canonical Maps

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