On the public citation graph

Online Collaborative Learning for Open-Vocabulary Visual Classifiers

https://doi.org/10.1109/cvpr.2016.307

0 signed · 86 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_4openalex-snapshot

Large-Scale Object Classification Using Label Relation Graphs

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot

Microsoft COCO: Common Objects in Context

inferredcites →https://doi.org/10.1007/978-3-540-88682-2_3openalex-snapshot

Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers

inferredcites →https://doi.org/10.1007/978-3-642-15555-0_6openalex-snapshot

What Does Classifying More Than 10,000 Image Categories Tell Us?

inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot

ImageNet Large Scale Visual Recognition Challenge

inferredcites →https://doi.org/10.1093/biomet/28.3-4.321openalex-snapshot

RELATIONS BETWEEN TWO SETS OF VARIATES

inferredcites →https://doi.org/10.1109/cvpr.2011.5995720openalex-snapshot

Learning to share visual appearance for multiclass object detection

inferredcites →https://doi.org/10.1109/cvpr.2013.115openalex-snapshot

Harvesting Mid-level Visual Concepts from Large-Scale Internet Images

inferredcites →https://doi.org/10.1109/cvpr.2014.412openalex-snapshot

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2015.7298599openalex-snapshot

What do 15,000 object categories tell us about classifying and localizing actions?

inferredcites →https://doi.org/10.1109/cvpr.2015.7298656openalex-snapshot

Collaborative feature learning from social media

inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot

Show and tell: A neural image caption generator

inferredcites →https://doi.org/10.1109/iccv.2011.6126295openalex-snapshot

Large-scale image annotation using visual synset

inferredcites →https://doi.org/10.1109/iccv.2013.178openalex-snapshot

NEIL: Extracting Visual Knowledge from Web Data

inferredcites →https://doi.org/10.1109/iccv.2013.344openalex-snapshot

From Large Scale Image Categorization to Entry-Level Categories

inferredcites →https://doi.org/10.1109/iccv.2015.168openalex-snapshot

Webly Supervised Learning of Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2015.486openalex-snapshot

Learning Image and User Features for Recommendation in Social Networks

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1109/tpami.2013.146openalex-snapshot

Good Practice in Large-Scale Learning for Image Classification

inferredcites →https://doi.org/10.1109/tpami.2015.2487986openalex-snapshot

Label-Embedding for Image Classification

inferredcites →https://doi.org/10.1145/1646396.1646452openalex-snapshot

NUS-WIDE

inferredcites →https://doi.org/10.1145/1835804.1835895openalex-snapshot

Training and testing of recommender systems on data missing not at random

inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot

Performance of recommender algorithms on top-n recommendation tasks

inferredcites →https://doi.org/10.1145/1991996.1992025openalex-snapshot

Consumer video understanding

inferredcites →https://doi.org/10.1145/2623330.2623661openalex-snapshot

Incremental and decremental training for linear classification

inferredcites →https://doi.org/10.1145/2647868.2654915openalex-snapshot

Start from Scratch

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1162/neco_a_00320openalex-snapshot

Multilabel Classification with Principal Label Space Transformation

inferredcites →https://doi.org/10.1162/tacl_a_00132openalex-snapshot

From Visual Attributes to Adjectives through Decompositional Distributional Semantics

inferredcites →https://doi.org/10.1162/tacl_a_00166openalex-snapshot

From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

inferredcites →https://doi.org/10.15607/rss.2014.x.041openalex-snapshot

Open-vocabulary Object Retrieval

inferredcites →https://doi.org/10.48550/arxiv.0908.0050openalex-snapshot

Online Learning for Matrix Factorization and Sparse Coding

inferredcites →https://doi.org/10.48550/arxiv.1301.3666openalex-snapshot

Zero-Shot Learning Through Cross-Modal Transfer

inferredcites →https://doi.org/10.48550/arxiv.1307.5101openalex-snapshot

Large-scale Multi-label Learning with Missing Labels

inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot

Distributed Representations of Words and Phrases and their Compositionality

inferredcites →https://doi.org/10.48550/arxiv.1406.5679openalex-snapshot

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

inferredcites →https://doi.org/10.48550/arxiv.1411.2539openalex-snapshot

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

inferredcites →https://doi.org/10.7551/mitpress/8996.003.0015openalex-snapshot

The Tradeoffs of Large-Scale Learning

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781119853923.ch2openalex-snapshot

Overview of Recent Advancements in Deep Learning and Artificial Intelligence

inferred← citeshttps://doi.org/10.1002/int.22826openalex-snapshot

MC‐Net: Learning mutually‐complementary features for image manipulation localization

inferred← citeshttps://doi.org/10.1007/978-3-030-01246-5_24openalex-snapshot

Zero-Shot Object Detection

inferred← citeshttps://doi.org/10.1007/978-3-030-13969-8_20openalex-snapshot

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

inferred← citeshttps://doi.org/10.1007/978-981-10-8530-7_36openalex-snapshot

Multi-layers CNNs for 3D Model Retrieval

inferred← citeshttps://doi.org/10.1007/978-981-10-8530-7_7openalex-snapshot

Clothing Matching Based on Multi-modal Data

inferred← citeshttps://doi.org/10.1007/s00530-017-0546-9openalex-snapshot

Saliency detection on sampled images for tag ranking

inferred← citeshttps://doi.org/10.1007/s11042-017-4561-9openalex-snapshot

Adaptive video object proposals by a context-aware model

inferred← citeshttps://doi.org/10.1007/s11042-017-5101-3openalex-snapshot

Identifying natural images and computer generated graphics based on binary similarity measures of PRNU

inferred← citeshttps://doi.org/10.1007/s11042-017-5333-2openalex-snapshot

Hatching eggs classification based on deep learning

inferred← citeshttps://doi.org/10.1007/s11042-017-5347-9openalex-snapshot

Adaptive fast local Laplacian filters and its edge-aware application

inferred← citeshttps://doi.org/10.1007/s11042-018-5945-1openalex-snapshot

Entropy-based active sparse subspace clustering

inferred← citeshttps://doi.org/10.1007/s11042-018-5948-yopenalex-snapshot

Image capture pattern optimization for panoramic photography

inferred← citeshttps://doi.org/10.1007/s11042-018-5968-7openalex-snapshot

A one-to-many conditional generative adversarial network framework for multiple image-to-image translations

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.05.081openalex-snapshot

Neural fashion experts: I know how to make the complementary clothing matching

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.05.085openalex-snapshot

Intent-enhanced attentive Bert capsule network for zero-shot intention detection

inferred← citeshttps://doi.org/10.1016/j.patcog.2019.107100openalex-snapshot

Large-scale multi-label classification using unknown streaming images

inferred← citeshttps://doi.org/10.1016/j.patcog.2021.107819openalex-snapshot

Multiple discriminant analysis for collaborative representation-based classification

inferred← citeshttps://doi.org/10.1038/s41598-026-36314-7openalex-snapshot

Object-guided contrastive language-image pre-training for zero-shot target recognition

inferred← citeshttps://doi.org/10.1109/cscwd.2019.8791907openalex-snapshot

A Collaborative Feature Learning Method for Accurate and Robust Tracking

inferred← citeshttps://doi.org/10.1109/cvpr.2017.328openalex-snapshot

Zero-Shot Learning — The Good, the Bad and the Ugly

inferred← citeshttps://doi.org/10.1109/cvpr.2017.331openalex-snapshot

Visual Translation Embedding Network for Visual Relation Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2017.662openalex-snapshot

Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description

inferred← citeshttps://doi.org/10.1109/cvpr.2017.687openalex-snapshot

Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00965openalex-snapshot

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

inferred← citeshttps://doi.org/10.1109/tcyb.2019.2896100openalex-snapshot

Multimodal Learning of Social Image Representation by Exploiting Social Relations

inferred← citeshttps://doi.org/10.1109/tip.2019.2923608openalex-snapshot

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding

inferred← citeshttps://doi.org/10.1109/tmm.2022.3163517openalex-snapshot

A Tree-Structure Analysis Network on Handwritten Chinese Character Error Correction

inferred← citeshttps://doi.org/10.1109/tpami.2018.2857768openalex-snapshot

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

inferred← citeshttps://doi.org/10.1109/tvcg.2018.2885750openalex-snapshot

Distinction of 3D Objects and Scenes via Classification Network and Markov Random Field

inferred← citeshttps://doi.org/10.1145/2964284.2964287openalex-snapshot

Event Specific Multimodal Pattern Mining for Knowledge Base Construction

inferred← citeshttps://doi.org/10.1145/2964284.2964289openalex-snapshot

Predicting Personalized Emotion Perceptions of Social Images

inferred← citeshttps://doi.org/10.1145/2964284.2964307openalex-snapshot

Shorter-is-Better

inferred← citeshttps://doi.org/10.1145/2964284.2964314openalex-snapshot

Micro Tells Macro

inferred← citeshttps://doi.org/10.1145/2964284.2967296openalex-snapshot

Mental Visual Indexing

inferred← citeshttps://doi.org/10.1145/2978656openalex-snapshot

Learning from Collective Intelligence

inferred← citeshttps://doi.org/10.1145/3123266.3123314openalex-snapshot

NeuroStylist

inferred← citeshttps://doi.org/10.1145/3397271.3401047openalex-snapshot

Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme

inferred← citeshttps://doi.org/10.1145/3722557openalex-snapshot

Interpretable Novel Target Discovery through Open-Set Domain Adaptation

inferred← citeshttps://doi.org/10.1609/aaai.v32i1.12254openalex-snapshot

Weakly Supervised Collective Feature Learning From Curated Media

inferred← citeshttps://doi.org/10.18653/v1/p17-1149openalex-snapshot

Bridge Text and Knowledge by Learning Multi-Prototype Entity Mention Embedding

inferred← citeshttps://doi.org/10.2200/s00938ed1v01y201907ivm020openalex-snapshot

Multimodal Learning toward Micro-Video Understanding

inferred← citeshttps://doi.org/10.2200/s00952ed1v01y201909icr069openalex-snapshot

Compatibility Modeling: Data and Knowledge Applications for Clothing Matching

inferred← citeshttps://doi.org/10.24963/ijcai.2021/540openalex-snapshot

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection

inferred← citeshttps://doi.org/10.46627/silet.v4i2.185openalex-snapshot

Teachers’ Experiences With Online Teaching During COVID-19 in Kenya and Namibia

inferred← citeshttps://doi.org/10.48550/arxiv.2012.01721openalex-snapshot

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.