Deep Learning Applications

Published: 09 Oct 2015 Category: deep_learning


DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations

Some like it hot - visual guidance for preference prediction

Deep Learning Algorithms with Applications to Video Analytics for A Smart City: A Survey

Deep Relative Attributes

Deep-Spying: Spying using Smartwatch and Deep Learning

Camera identification with deep convolutional networks

An Analysis of Deep Neural Network Models for Practical Applications

8 Inspirational Applications of Deep Learning

16 Open Source Deep Learning Models Running as Microservices

Deep Cascaded Bi-Network for Face Hallucination

DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation

Autoencoding Blade Runner

A guy trained a machine to “watch” Blade Runner. Then things got seriously sci-fi.

Deep Convolution Networks for Compression Artifacts Reduction

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

Instagram photos reveal predictive markers of depression

How an Algorithm Learned to Identify Depressed Individuals by Studying Their Instagram Photos


Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks

Defeating Image Obfuscation with Deep Learning

Detecting Music BPM using Neural Networks

Generative Visual Manipulation on the Natural Image Manifold

Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition

Deep Gold: Using Convolution Networks to Find Minerals

Predicting First Impressions with Deep Learning

Judging a Book By its Cover

Image Credibility Analysis with Effective Domain Transferred Deep Networks

A novel image tag completion method based on convolutional neural network

Image operator learning coupled with CNN classification and its application to staff line removal

Joint Image Filtering with Deep Convolutional Networks

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

Neural Scene De-rendering

Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks

Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata

Single Image Reflection Removal Using Deep Encoder-Decoder Network

CRRN: Multi-Scale Guided Concurrent Reflection Removal Network

Learning Deep Convolutional Networks for Demosaicing

Fully convolutional watermark removal attack

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

Learning to See in the Dark

Generative Smoke Removal

Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data

Blind Visual Motif Removal from a Single Image

Neural Camera Simulators

Lighting the Darkness in the Deep Learning Era

Boundary / Edge / Contour Detection

Holistically-Nested Edge Detection

Unsupervised Learning of Edges

Pushing the Boundaries of Boundary Detection using Deep Learning

Convolutional Oriented Boundaries

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks

Richer Convolutional Features for Edge Detection

Contour Detection from Deep Patch-level Boundary Prediction

CASENet: Deep Category-Aware Semantic Edge Detection

Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

Deep Crisp Boundaries: From Boundaries to Higher-level Tasks

DOOBNet: Deep Object Occlusion Boundary Detection from an Image

Dynamic Feature Fusion for Semantic Edge Detection

EDTER: Edge Detection with Transformer

Image Processing

Fast Image Processing with Fully-Convolutional Networks

DeepISP: Learning End-to-End Image Processing Pipeline

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing


Learning Two-Branch Neural Networks for Image-Text Matching Tasks

Dual-Path Convolutional Image-Text Embedding

Conditional Image-Text Embedding Networks

AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Stacked Cross Attention for Image-Text Matching

Age Estimation

Deeply-Learned Feature for Age Estimation

Age and Gender Classification using Convolutional Neural Networks

Group-Aware Deep Feature Learning For Facial Age Estimation

Local Deep Neural Networks for Age and Gender Classification

Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Age Group and Gender Estimation in the Wild with Deep RoR Architecture

Age and gender estimation based on Convolutional Neural Network and TensorFlow

Deep Regression Forests for Age Estimation

Face Aging

Recurrent Face Aging

Face Aging With Conditional Generative Adversarial Networks

Learning Face Age Progression: A Pyramid Architecture of GANs

Face Aging with Contextual Generative Adversarial Nets

Recursive Chaining of Reversible Image-to-image Translators For Face Aging

Emotion Recognition / Expression Recognition

Real-time emotion recognition for gaming using deep convolutional network features

Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

DeXpression: Deep Convolutional Neural Network for Expression Recognition

DEX: Deep EXpectation of apparent age from a single image

EmotioNet: EmotioNet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild

How Deep Neural Networks Can Improve Emotion Recognition on Video Data

Peak-Piloted Deep Network for Facial Expression Recognition

Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

A Recursive Framework for Expression Recognition: From Web Images to Deep Models to Game Dataset

FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition

EmotionNet Challenge

Baseline CNN structure analysis for facial expression recognition

Facial Expression Recognition using Convolutional Neural Networks: State of the Art

DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network

Deep generative-contrastive networks for facial expression recognition

Convolutional Neural Networks for Facial Expression Recognition

End-to-End Multimodal Emotion Recognition using Deep Neural Networks

Spatial-Temporal Recurrent Neural Network for Emotion Recognition

Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units

Temporal Multimodal Fusion for Video Emotion Classification in the Wild

Island Loss for Learning Discriminative Features in Facial Expression Recognition

Real-time Convolutional Neural Networks for Emotion and Gender Classification

Attribution Prediction

PANDA: Pose Aligned Networks for Deep Attribute Modeling

Predicting psychological attributions from face photographs with a deep neural network

Learning Human Identity from Motion Patterns

Place Recognition

NetVLAD: CNN architecture for weakly supervised place recognition

PlaNet - Photo Geolocation with Convolutional Neural Networks

Visual place recognition using landmark distribution descriptors

Low-effort place recognition with WiFi fingerprints using deep learning

Deep Learning Features at Scale for Visual Place Recognition

Place recognition: An Overview of Vision Perspective

Camera Relocalization

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Modelling Uncertainty in Deep Learning for Camera Relocalization

Random Forests versus Neural Networks - What’s Best for Camera Relocalization?

Deep Convolutional Neural Network for 6-DOF Image Localization

DSAC - Differentiable RANSAC for Camera Localization

Image-based Localization with Spatial LSTMs

VidLoc: 6-DoF Video-Clip Relocalization

Towards CNN Map Compression for camera relocalisation

Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network

MapNet: Geometry-Aware Learning of Maps for Camera Localization

Image-to-GPS Verification Through A Bottom-Up Pattern Matching Network

Activity Recognition

Implementing a CNN for Human Activity Recognition in Tensorflow

Concurrent Activity Recognition with Multimodal CNN-LSTM Structure

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

Deploying Tensorflow model on Andorid device for Human Activity Recognition

Music Classification / Sound Classification

Explaining Deep Convolutional Neural Networks on Music Classification

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Convolutional Recurrent Neural Networks for Music Classification

CNN Architectures for Large-Scale Audio Classification

SoundNet: Learning Sound Representations from Unlabeled Video

Deep Learning ‘ahem’ detector

GenreFromAudio: Finding the genre of a song with Deep Learning

TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

On the Robustness of Deep Convolutional Neural Networks for Music Classification

NSFW Detection / Classification

Nipple Detection using Convolutional Neural Network

Applying deep learning to classify pornographic images and videos



Open Sourcing a Deep Learning Solution for Detecting NSFW Images

Miles Deep - AI Porn Video Editor

Image Reconstruction / Inpainting

Context Encoders: Feature Learning by Inpainting

Semantic Image Inpainting with Perceptual and Contextual Losses

Semantic Image Inpainting with Deep Generative Models

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

Face Image Reconstruction from Deep Templates

Deep Learning-Guided Image Reconstruction from Incomplete Data

Image Inpainting using Multi-Scale Feature Image Translation

Image Inpainting for High-Resolution Textures using CNN Texture Synthesis

Context-Aware Semantic Inpainting

Deep Blind Image Inpainting

Deep Stacked Networks with Residual Polishing for Image Inpainting

Light-weight pixel context encoders for image inpainting

Deep Structured Energy-Based Image Inpainting

Shift-Net: Image Inpainting via Deep Feature Rearrangement

Cascade context encoder for improved inpainting

SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting

Free-Form Image Inpainting with Gated Convolution

Keras implementation of Image OutPainting

Image Inpainting via Generative Multi-column Convolutional Neural Networks

Deep Inception Generative Network for Cognitive Image Inpainting

Foreground-aware Image Inpainting

Image Restoration

Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

Image Completion with Deep Learning in TensorFlow

Deeply Aggregated Alternating Minimization for Image Restoration

A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction

MemNet: A Persistent Memory Network for Image Restoration

Deep Mean-Shift Priors for Image Restoration

xUnit: Learning a Spatial Activation Function for Efficient Image Restoration

Deep Image Prior

MemNet: A Persistent Memory Network for Image Restoration

Denoising Prior Driven Deep Neural Network for Image Restoration

Globally and Locally Consistent Image Completion

Multi-level Wavelet-CNN for Image Restoration

Non-Local Recurrent Network for Image Restoration

Residual Non-local Attention Networks for Image Restoration

Face Completion

Generative Face Completion

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

Image Denoising

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Medical image denoising using convolutional denoising autoencoders

Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising

Non-Local Color Image Denoising with Convolutional Neural Networks

Joint Visual Denoising and Classification using Deep Learning

Deep Convolutional Denoising of Low-Light Images

Deep Class Aware Denoising

End-to-End Learning for Structured Prediction Energy Networks

Block-Matching Convolutional Neural Network for Image Denoising

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach

Wide Inference Network for Image Denoising

Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising

Image Denoising via CNNs: An Adversarial Approach

An ELU Network with Total Variation for Image Denoising

Dilated Residual Network for Image Denoising

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

Universal Denoising Networks : A Novel CNN-based Network Architecture for Image Denoising

Burst Denoising with Kernel Prediction Networks

Chaining Identity Mapping Modules for Image Denoising

Deep Burst Denoising

Fast, Trainable, Multiscale Denoising

Training Deep Learning based Denoisers without Ground Truth Data

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

Class-Aware Fully-Convolutional Gaussian and Poisson Denoising

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning

DN-ResNet: Efficient Deep Residual Network for Image Denoising

Deep Learning for Image Denoising: A Survey

Image Dehazing / Image Haze Removal

DehazeNet: An End-to-End System for Single Image Haze Removal

An All-in-One Network for Dehazing and Beyond

Joint Transmission Map Estimation and Dehazing using Deep Networks

End-to-End United Video Dehazing and Detection

Image Dehazing using Bilinear Composition Loss Function

Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond

CANDY: Conditional Adversarial Networks based Fully End-to-End System for Single Image Haze Removal

C2MSNet: A Novel approach for single image haze removal

A Cascaded Convolutional Neural Network for Single Image Dehazing

Densely Connected Pyramid Dehazing Network

Gated Fusion Network for Single Image Dehazing

Semantic Single-Image Dehazing

Perceptually Optimized Generative Adversarial Network for Single Image Dehazing

PAD-Net: A Perception-Aided Single Image Dehazing Network

The Effectiveness of Instance Normalization: a Strong Baseline for Single Image Dehazing

Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

Deep learning for dehazing: Comparison and analysis

Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing

Image Rain Removal / De-raining

Clearing the Skies: A deep network architecture for single-image rain removal

Joint Rain Detection and Removal via Iterative Region Dependent Multi-Task Learning

Image De-raining Using a Conditional Generative Adversarial Network

Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network

Deep joint rain and haze removal from single images

Density-aware Single Image De-raining using a Multi-stream Dense Network

Robust Video Content Alignment and Compensation for Rain Removal in a CNN Framework

Fast Single Image Rain Removal via a Deep Decomposition-Composition Network

Residual-Guide Feature Fusion Network for Single Image Deraining

Lightweight Pyramid Networks for Image Deraining

Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining

Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining

Gated Context Aggregation Network for Image Dehazing and Deraining

A Deep Tree-Structured Fusion Model for Single Image Deraining

A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal

Single Image Deraining: A Comprehensive Benchmark Analysis

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset

Fence Removal

My camera can see through fences: A deep learning approach for image de-fencing

Deep learning based fence segmentation and removal from an image using a video sequence

Accurate and efficient video de-fencing using convolutional neural networks and temporal information

Snow Removal

DesnowNet: Context-Aware Deep Network for Snow Removal

Blur Detection and Removal

Learning to Deblur

Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

End-to-End Learning for Image Burst Deblurring

Deep Video Deblurring

Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

Motion Deblurring in the Wild

Deep Face Deblurring

Learning Blind Motion Deblurring

Deep Generative Filter for Motion Deblurring

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

DeepDeblur: Fast one-step blurry face images restoration

Reblur2Deblur: Deblurring Videos via Self-Supervised Learning

Scale-recurrent Network for Deep Image Deblurring

Deep Semantic Face Deblurring

Motion deblurring of faces

Learning a Discriminative Prior for Blind Image Deblurring

Adversarial Spatio-Temporal Learning for Video Deblurring

Learning to Deblur Images with Exemplars

Down-Scaling with Learned Kernels in Multi-Scale Deep Neural Networks for Non-Uniform Single Image Deblurring

Image Compression

An image compression and encryption scheme based on deep learning

Full Resolution Image Compression with Recurrent Neural Networks

Image Compression with Neural Networks

Lossy Image Compression With Compressive Autoencoders

End-to-end Optimized Image Compression

CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression

Semantic Perceptual Image Compression using Deep Convolution Networks

Generative Compression

Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks

Learning Convolutional Networks for Content-weighted Image Compression

Real-Time Adaptive Image Compression

Learning to Inpaint for Image Compression

Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression

Conditional Probability Models for Deep Image Compression

Multiple Description Convolutional Neural Networks for Image Compression

Near-lossless L-infinity constrained Multi-rate Image Decompression via Deep Neural Network

DeepSIC: Deep Semantic Image Compression

Spatially adaptive image compression using a tiled deep network

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples

DeepN-JPEG: A Deep Neural Network Favorable JPEG-based Image Compression Framework

The Effects of JPEG and JPEG2000 Compression on Attacks using Adversarial Examples

Generative Adversarial Networks for Extreme Learned Image Compression

Deformation Aware Image Compression

Neural Multi-scale Image Compression

Deep Image Compression via End-to-End Learning

Image Quality Assessment

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

Image Blending

GP-GAN: Towards Realistic High-Resolution Image Blending

Image Enhancement

Deep Bilateral Learning for Real-Time Image Enhancement

Aesthetic-Driven Image Enhancement by Adversarial Learning

Learned Perceptual Image Enhancement

Deep Underwater Image Enhancement

Abnormality Detection / Anomaly Detection

Toward a Taxonomy and Computational Models of Abnormalities in Images

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Depth Prediction / Depth Estimation

Deep Convolutional Neural Fields for Depth Estimation from a Single Image

Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

Deeper Depth Prediction with Fully Convolutional Residual Networks

Single image depth estimation by dilated deep residual convolutional neural network and soft-weight-sum inference

Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

Size-to-depth: A New Perspective for Single Image Depth Estimation

Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

Rethinking Monocular Depth Estimation with Adversarial Training

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

Texture Synthesis

Texture Synthesis Using Convolutional Neural Networks

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

Texture Synthesis with Spatial Generative Adversarial Networks

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis

Deep TEN: Texture Encoding Network

Diversified Texture Synthesis with Feed-forward Networks

Image Cropping

Deep Cropping via Attention Box Prediction and Aesthetics Assessment

A2-RL: Aesthetics Aware Reinforcement Learning for Automatic Image Cropping

Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression

Grid Anchor based Image Cropping: A New Benchmark and An Efficient Model

Image Cropping with Composition and Saliency Aware Aesthetic Score Map

Image Synthesis

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

Generative Adversarial Text to Image Synthesis

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Semantic Image Synthesis via Adversarial Learning

An Introduction to Image Synthesis with Generative Adversarial Nets

Text Guided Person Image Synthesis

Image Tagging

Fast Zero-Shot Image Tagging

Flexible Image Tagging with Fast0Tag

Sampled Image Tagging and Retrieval Methods on User Generated Content

Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement

Deep Multiple Instance Learning for Zero-shot Image Tagging

Image Matching

Learning Fine-grained Image Similarity with Deep Ranking

Learning to compare image patches via convolutional neural networks

MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching

Fashion Style in 128 Floats

Fully-Trainable Deep Matching

Local Similarity-Aware Deep Feature Embedding

Convolutional neural network architecture for geometric matching

Multi-Image Semantic Matching by Mining Consistent Features

Image Editing

Neural Photo Editing with Introspective Adversarial Networks

Deep Feature Interpolation for Image Content Changes

Invertible Conditional GANs for image editing

Semantic Facial Expression Editing using Autoencoded Flow

Language-Based Image Editing with Recurrent Attentive Models

Face Swap & Face Editing

Fast Face-swap Using Convolutional Neural Networks

Neural Face Editing with Intrinsic Image Disentangling

Arbitrary Facial Attribute Editing: Only Change What You Want

RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces

FaceShop: Deep Sketch-based Face Image Editing


End-to-End Learning of Geometry and Context for Deep Stereo Regression

Unsupervised Adaptation for Deep Stereo

Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching

StereoConvNet: Stereo convolutional neural network for depth map prediction from stereo images

EdgeStereo: A Context Integrated Residual Pyramid Network for Stereo Matching

Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains

Pyramid Stereo Matching Network

Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching

Left-Right Comparative Recurrent Model for Stereo Matching

Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching

Open-World Stereo Video Matching with Deep RNN

Real-time self-adaptive deep stereo

Group-wise Correlation Stereo Network

Self-calibrating Deep Photometric Stereo Networks

Learning to Adapt for Stereo

StereoDRNet: Dilated Residual Stereo Net

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

Multi-Scale Geometric Consistency Guided Multi-View Stereo

Guided Stereo Matching

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers

EGFN: Efficient Geometry Feature Network for Fast Stereo 3D Object Detection


Learning Spatiotemporal Features with 3D Convolutional Networks

C3D: Generic Features for Video Analysis

C3D Model for Keras trained over Sports 1M

Sports 1M C3D Network to Keras

Deep End2End Voxel2Voxel Prediction

Aligning 3D Models to RGB-D Images of Cluttered Scenes

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

Multi-view 3D Models from Single Images with a Convolutional Network

RotationNet: Learning Object Classification Using Unsupervised Viewpoint Estimation

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding

Volumetric and Multi-View CNNs for Object Classification on 3D Data

Deep3D: Automatic 2D-to-3D Video Conversion with CNNs

Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Body Meshes as Points

Deep Learning for Makeup

Makeup like a superstar: Deep Localized Makeup Transfer Network

Makeup-Go: Blind Reversion of Portrait Edit

Music Tagging

Automatic tagging using deep convolutional neural networks

Music tagging and feature extraction with MusicTaggerCRNN

Action Recognition

Single Image Action Recognition by Predicting Space-Time Saliency

Attentional Pooling for Action Recognition

Memory Attention Networks for Skeleton-based Action Recognition

Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

CTR Prediction

Deep CTR Prediction in Display Advertising

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Deep Interest Network for Click-Through Rate Prediction

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior


Learning to Protect Communications with Adversarial Neural Cryptography

Adversarial Neural Cryptography in Theano

Embedding Watermarks into Deep Neural Networks

Digital Watermarking for Deep Neural Networks

Cyber Security

Collection of Deep Learning Cyber Security Research Papers

Lip Reading

LipNet: Sentence-level Lipreading

LipNet: End-to-End Sentence-level Lipreading

Lip Reading Sentences in the Wild

Combining Residual Networks with LSTMs for Lipreading

End-to-End Multi-View Lipreading

LCANet: End-to-End Lipreading with Cascaded Attention-CTC

Event Recognition

Better Exploiting OS-CNNs for Better Event Recognition in Images

Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images

IOD-CNN: Integrating Object Detection Networks for Event Recognition

Trajectory Prediction

Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving

  • intro: Machine Learning for Autonomous Driving @ NeurIPS 2020
  • intro: Carnegie Mellon University & Bosch Research Pittsburgh
  • arxiv:

Human-Object Interaction

Learning Human-Object Interactions by Graph Parsing Neural Networks

Interact as You Intend: Intention-Driven Human-Object Interaction Detection

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

Pose-aware Multi-level Feature Network for Human Object Interaction Detection

End-to-End Human Object Interaction Detection with HOI Transformer

Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction

Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction

Deep Learning in Finance

Deep Learning in Finance

A Survey of Deep Learning Techniques Applied to Trading

Deep Learning and Long-Term Investing

Deep Learning in Trading

Research to Products: Machine & Human Intelligence in Finance

eep Neural Networks for Real-time Market Predictions

Deep Learning the Stock Market


Neural networks for algorithmic trading. Multivariate time series

Deep-Trading: Algorithmic trading with deep learning experiments

Neural networks for algorithmic trading. Multimodal and multitask deep learning

Deep Learning with Python in Finance - Singapore Python User Group

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Stock Prediction: a method based on extraction of news features and recurrent neural networks

Multidimensional LSTM Networks to Predict Bitcoin Price

Improving Factor-Based Quantitative Investing by Forecasting Company Fundamentals

Findings from our Research on Applying Deep Learning to Long-Term Investing

Predicting Cryptocurrency Prices With Deep Learning

Deep Trading Agent

Financial Trading as a Game: A Deep Reinforcement Learning Approach

Deep Learning in Speech

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

End-to-end speech recognition with neon


WaveNet: A Generative Model for Raw Audio

A TensorFlow implementation of DeepMind’s WaveNet paper for text generation.

Fast Wavenet Generation Algorithm

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind’s WaveNet and tensorflow

Wav2Letter: an End-to-End ConvNet-based Speech Recognition System

TristouNet: Triplet Loss for Speaker Turn Embedding

Speech Recognion and Deep Learning

Robust end-to-end deep audiovisual speech recognition

An Experimental Comparison of Deep Neural Networks for End-to-end Speech Recognition

Recurrent Deep Stacking Networks for Speech Recognition

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks

Deep Learning for Sound / Music


Suggesting Sounds for Images from Video Collections

Disney AI System Associates Images with Sounds

Convolutional Recurrent Neural Networks for Bird Audio Detection

Visual to Sound: Generating Natural Sound for Videos in the Wild


Learning Features of Music from Scratch

DeepBach: a Steerable Model for Bach chorales generation

Deep Learning for Music

First International Workshop on Deep Learning and Music

Deep Learning in Medicine and Biology

Low Data Drug Discovery with One-shot Learning

Democratizing Drug Discovery with DeepChem

Introduction to Deep Learning in Medicine and Biology

Deep Learning for Alzheimer Diagnostics and Decision Support

DeepCancer: Detecting Cancer through Gene Expressions via Deep Generative Learning

Towards biologically plausible deep learning

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks

Deep Learning Applications in Medical Imaging

Dermatologist-level classification of skin cancer with deep neural networks

Deep Learning for Health Informatics

Deep Learning for Fashion

Convolutional Neural Networks for Fashion Classification and Object Detection

DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

Deep Learning for Fast and Accurate Fashion Item Detection

Deep Learning at GILT

Working with Fashion Models

Fashion Forward: Forecasting Visual Style in Fashion

StreetStyle: Exploring world-wide clothing styles from millions of photos

Fashioning with Networks: Neural Style Transfer to Design Clothes

Deep Learning Our Way Through Fashion Week

Be Your Own Prada: Fashion Synthesis with Structural Coherence


Selfai: Predicting Facial Beauty in Selfies

Selfai: A Method for Understanding Beauty in Selfies

Deep Learning Enables You to Hide Screen when Your Boss is Approaching


40 Ways Deep Learning is Eating the World


Systematic Approach To Applications Of Deep Learning


Deep Learning Gallery - a curated collection of deep learning projects