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Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Conventional learning-based approaches to low-light image enhancement ty...
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Human Motion Transfer from Poses in the Wild
In this paper, we tackle the problem of human motion transfer, where we ...
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Anatomy-aware 3D Human Pose Estimation in Videos
In this work, we propose a new solution for 3D human pose estimation in ...
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EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
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Fashion Editing with Multi-scale Attention Normalization
Interactive fashion image manipulation, which enables users to edit imag...
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Graphonomy: Universal Human Parsing via Graph Transfer Learning
Prior highly-tuned human parsing models tend to fit towards each dataset...
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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
This paper focuses on learning transferable adversarial examples specifi...
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DeepLens: Shallow Depth Of Field From A Single Image
We aim to generate high resolution shallow depth-of-field (DoF) images f...
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Concept Mask: Large-Scale Segmentation from Semantic Concepts
Existing works on semantic segmentation typically consider a small numbe...
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A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Multi-task learning has been widely adopted in many computer vision task...
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Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
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Towards Interpretable Face Recognition
Deep CNNs have been pushing the frontier of visual recognition over past...
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Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
Human parsing and pose estimation have recently received considerable in...
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MAttNet: Modular Attention Network for Referring Expression Comprehension
In this paper, we address referring expression comprehension: localizing...
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Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
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Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
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Scene Parsing with Global Context Embedding
We present a scene parsing method that utilizes global context informati...
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Learning to Segment Human by Watching YouTube
An intuition on human segmentation is that when a human is moving in a v...
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FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
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Recognizing and Curating Photo Albums via Event-Specific Image Importance
Automatic organization of personal photos is a problem with many real wo...
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Learning to Predict Indoor Illumination from a Single Image
We propose an automatic method to infer high dynamic range illumination ...
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Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
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Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing
Human parsing has recently attracted a lot of research interests due to ...
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Interpretable Structure-Evolving LSTM
This paper develops a general framework for learning interpretable data ...
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Deep Image Harmonization
Compositing is one of the most common operations in photo editing. To ge...
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Learning to Detect Multiple Photographic Defects
In this paper, we introduce the problem of simultaneously detecting mult...
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Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
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Top-down Neural Attention by Excitation Backprop
We aim to model the top-down attention of a Convolutional Neural Network...
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Salient Object Subitizing
We study the problem of Salient Object Subitizing, i.e. predicting the e...
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Progressive Attention Networks for Visual Attribute Prediction
We propose a novel attention model that can accurately attend to target ...
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Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Real-world applications could benefit from the ability to automatically ...
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Semantic Object Parsing with Graph LSTM
By taking the semantic object parsing task as an exemplar application sc...
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Reversible Recursive Instance-level Object Segmentation
In this work, we propose a novel Reversible Recursive Instance-level Obj...
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Semantic Object Parsing with Local-Global Long Short-Term Memory
Semantic object parsing is a fundamental task for understanding objects ...
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Automatic Content-Aware Color and Tone Stylization
We introduce a new technique that automatically generates diverse, visua...
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STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
Recently, significant improvement has been made on semantic object segme...
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Proposal-free Network for Instance-level Object Segmentation
Instance-level object segmentation is an important yet under-explored ta...
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Inner and Inter Label Propagation: Salient Object Detection in the Wild
In this paper, we propose a novel label propagation based method for sal...
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Joint Object and Part Segmentation using Deep Learned Potentials
Segmenting semantic objects from images and parsing them into their resp...
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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Both parametric and non-parametric approaches have demonstrated encourag...
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Deep Human Parsing with Active Template Regression
In this work, the human parsing task, namely decomposing a human image i...
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