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A discriminative CNN video representation for event detection
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Image Classification with the Fisher Vector: Theory and Practice
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Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
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Distinctive Image Features from Scale-Invariant Keypoints
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inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot
Action recognition by dense trajectories
inferredcites →https://doi.org/10.1109/cvpr.2012.6247814openalex-snapshot
Multimodal feature fusion for robust event detection in web videos
inferredcites →https://doi.org/10.1109/cvpr.2012.6248114openalex-snapshot
Evaluation of low-level features and their combinations for complex event detection in open source videos
inferredcites →https://doi.org/10.1109/cvpr.2013.339openalex-snapshot
Complex Event Detection via Multi-source Video Attributes
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.332openalex-snapshot
Efficient Feature Extraction, Encoding, and Classification for Action Recognition
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.2015.7298872openalex-snapshot
DevNet: A Deep Event Network for multimedia event detection and evidence recounting
inferredcites →https://doi.org/10.1109/iccv.2003.1238663openalex-snapshot
Video Google: a text retrieval approach to object matching in videos
inferredcites →https://doi.org/10.1109/iccv.2013.228openalex-snapshot
Action and Event Recognition with Fisher Vectors on a Compact Feature Set
inferredcites →https://doi.org/10.1109/iccv.2013.229openalex-snapshot
Stable Hyper-pooling and Query Expansion for Event Detection
inferredcites →https://doi.org/10.1109/iccv.2013.369openalex-snapshot
Segmentation Driven Object Detection with Fisher Vectors
inferredcites →https://doi.org/10.1109/iccv.2013.427openalex-snapshot
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inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot
Action Recognition with Improved Trajectories
inferredcites →https://doi.org/10.1109/iccv.2013.456openalex-snapshot
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inferredcites →https://doi.org/10.1109/icme.2014.6890234openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2009.154openalex-snapshot
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Product Quantization for Nearest Neighbor Search
inferredcites →https://doi.org/10.1109/tpami.2011.235openalex-snapshot
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inferredcites →https://doi.org/10.1109/tpami.2014.2306419openalex-snapshot
Knowledge Adaptation with PartiallyShared Features for Event DetectionUsing Few Exemplars
inferredcites →https://doi.org/10.1145/1101149.1101236openalex-snapshot
Early versus late fusion in semantic video analysis
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ImageNet classification with deep convolutional neural networks
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MoSIFT: Recognizing Human Actions in Surveillance Videos
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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Return of the Devil in the Details: Delving Deep into Convolutional Nets
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Brain tumor image segmentation based on convolution neural network
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DevNet: A Deep Event Network for multimedia event detection and evidence recounting
inferred← citeshttps://doi.org/10.1109/cvpr.2016.117openalex-snapshot
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
inferred← citeshttps://doi.org/10.1109/cvpr.2016.119openalex-snapshot
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
inferred← citeshttps://doi.org/10.1109/cvpr.2016.208openalex-snapshot
They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers
inferred← citeshttps://doi.org/10.1109/cvpr.2016.215openalex-snapshot
VLAD3: Encoding Dynamics of Deep Features for Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2016.234openalex-snapshot
Exploit All the Layers: Fast and Accurate CNN Object Detector with Scale Dependent Pooling and Cascaded Rejection Classifiers
inferred← citeshttps://doi.org/10.1109/cvpr.2016.279openalex-snapshot
Comparative Deep Learning of Hybrid Representations for Image Recommendations
inferred← citeshttps://doi.org/10.1109/cvpr.2016.332openalex-snapshot
Detecting Events and Key Actors in Multi-person Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2016.337openalex-snapshot
Temporal Action Localization with Pyramid of Score Distribution Features
inferred← citeshttps://doi.org/10.1109/cvpr.2016.338openalex-snapshot
Recognizing Activities of Daily Living with a Wrist-Mounted Camera
inferred← citeshttps://doi.org/10.1109/cvpr.2016.413openalex-snapshot
Recognizing Car Fluents from Video
inferred← citeshttps://doi.org/10.1109/cvpr.2016.86openalex-snapshot
Learning Temporal Regularity in Video Sequences
inferred← citeshttps://doi.org/10.1109/cvpr.2017.147openalex-snapshot
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2017.155openalex-snapshot
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2017.227openalex-snapshot
ER3: A Unified Framework for Event Retrieval, Recognition and Recounting
inferred← citeshttps://doi.org/10.1109/cvpr.2017.337openalex-snapshot
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
inferred← citeshttps://doi.org/10.1109/cvpr.2017.338openalex-snapshot
SCC: Semantic Context Cascade for Efficient Action Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2017.341openalex-snapshot
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos
inferred← citeshttps://doi.org/10.1109/cvpr.2017.435openalex-snapshot
Deep Quantization: Encoding Convolutional Activations with Deep Generative Model
inferred← citeshttps://doi.org/10.1109/cvpr.2017.599openalex-snapshot
Asynchronous Temporal Fields for Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2017.675openalex-snapshot
SST: Single-Stream Temporal Action Proposals
inferred← citeshttps://doi.org/10.1109/cvpr.2017.786openalex-snapshot
Temporal Residual Networks for Dynamic Scene Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00675openalex-snapshot
A Closer Look at Spatiotemporal Convolutions for Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00769openalex-snapshot
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01058openalex-snapshot
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00504openalex-snapshot
T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00610openalex-snapshot
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01348openalex-snapshot
Learning To Recognize Procedural Activities with Distant Supervision
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02062openalex-snapshot
Video Recognition in Portrait Mode
inferred← citeshttps://doi.org/10.1109/cvprw.2015.7301272openalex-snapshot
Exploiting local features from deep networks for image retrieval
inferred← citeshttps://doi.org/10.1109/cvprw.2017.161openalex-snapshot
Deep Local Video Feature for Action Recognition
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00019openalex-snapshot
AIC2018 Report: Traffic Surveillance Research
inferred← citeshttps://doi.org/10.1109/cvprw.2019.00338openalex-snapshot
ARCHANGEL: Tamper-Proofing Video Archives Using Temporal Content Hashes on the Blockchain
inferred← citeshttps://doi.org/10.1109/cyber.2018.8688320openalex-snapshot
Event Recognition Based on 3D Convolutional Networks
inferred← citeshttps://doi.org/10.1109/dicta47822.2019.8945874openalex-snapshot
Scalable Video Classification using Bag of Visual Words on Spark
inferred← citeshttps://doi.org/10.1109/fg47880.2020.00028openalex-snapshot
Hybrid Video and Image Hashing for Robust Face Retrieval
inferred← citeshttps://doi.org/10.1109/fpt.2016.7929190openalex-snapshot
Automatic code generation of convolutional neural networks in FPGA implementation
inferred← citeshttps://doi.org/10.1109/fpt.2017.8280142openalex-snapshot
An FPGA-based processor for training convolutional neural networks
inferred← citeshttps://doi.org/10.1109/ic3ina.2016.7863039openalex-snapshot
Computational optimization for violent scenes detection
inferred← citeshttps://doi.org/10.1109/icassp.2016.7472169openalex-snapshot
Efficient object feature selection for action recognition
inferred← citeshttps://doi.org/10.1109/iccv.2015.508openalex-snapshot
Learning Temporal Embeddings for Complex Video Analysis
inferred← citeshttps://doi.org/10.1109/iccv.2015.521openalex-snapshot
Objects2action: Classifying and Localizing Actions without Any Video Example
inferred← citeshttps://doi.org/10.1109/iccv.2017.393openalex-snapshot
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
inferred← citeshttps://doi.org/10.1109/iccv.2017.476openalex-snapshot
Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions
inferred← citeshttps://doi.org/10.1109/iccv.2017.63openalex-snapshot
Higher-Order Integration of Hierarchical Convolutional Activations for Fine-Grained Visual Categorization
inferred← citeshttps://doi.org/10.1109/iccv.2017.86openalex-snapshot
Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00445openalex-snapshot
Self-Conditioned Probabilistic Learning of Video Rescaling
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.00806openalex-snapshot
Interactive Prototype Learning for Egocentric Action Recognition
inferred← citeshttps://doi.org/10.1109/iccvw.2015.45openalex-snapshot
Deep Spatial Pyramid Ensemble for Cultural Event Recognition
inferred← citeshttps://doi.org/10.1109/iccvw.2017.366openalex-snapshot
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction
inferred← citeshttps://doi.org/10.1109/iccvw.2017.377openalex-snapshot
Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges
inferred← citeshttps://doi.org/10.1109/icetce48199.2020.9091747openalex-snapshot
A Brief Survey of Deep Learning Techniques for Person Re-identification
inferred← citeshttps://doi.org/10.1109/icip.2016.7532346openalex-snapshot
Featureless: Bypassing feature extraction in action categorization
inferred← citeshttps://doi.org/10.1109/icip.2016.7532433openalex-snapshot
Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos
inferred← citeshttps://doi.org/10.1109/icip.2016.7532983openalex-snapshot
Beyond caption to narrative: Video captioning with multiple sentences
inferred← citeshttps://doi.org/10.1109/icip.2016.7533142openalex-snapshot
Towards temporal adaptive representation for video action recognition
inferred← citeshttps://doi.org/10.1109/icip.2016.7533149openalex-snapshot
Exploring synonyms as context in zero-shot action recognition
inferred← citeshttps://doi.org/10.1109/icip.2017.8296307openalex-snapshot
Deep regional feature pooling for video matching
inferred← citeshttps://doi.org/10.1109/icip.2017.8296594openalex-snapshot
4D effect classification by encoding CNN features
inferred← citeshttps://doi.org/10.1109/icip.2018.8451146openalex-snapshot
Multi- View Fusion for Action Recognition in Child-Robot Interaction
inferred← citeshttps://doi.org/10.1109/icip.2019.8803499openalex-snapshot
Enhancing Temporal Segmentation by Nonlocal Self-Similarity
inferred← citeshttps://doi.org/10.1109/icisce.2017.88openalex-snapshot
Improved VLAD with Multiple Codebooks and Deep Convolutional Descriptors
inferred← citeshttps://doi.org/10.1109/icisct49550.2020.9080049openalex-snapshot
SAFEGUARD IDENTIFICATION-Safety as an Essential Aspect
inferred← citeshttps://doi.org/10.1109/icma.2019.8816574openalex-snapshot
Design of Bank Server Fault Diagnosis System Based on Machine Vision
inferred← citeshttps://doi.org/10.1109/icme.2016.7552981openalex-snapshot
Multimedia event detection via deep spatial-temporal neural networks
inferred← citeshttps://doi.org/10.1109/icme.2017.8019344openalex-snapshot
VIDEOWHISPER: Towards unsupervised learning of discriminative features of videos with RNN
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