research
∙
08/04/2023
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP
Open-vocabulary segmentation is a challenging task requiring segmenting ...
share
research
∙
01/19/2023
Multimodal Video Adapter for Parameter Efficient Video Text Retrieval
State-of-the-art video-text retrieval (VTR) methods usually fully fine-t...
research
∙
07/27/2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Masked image modeling (MIM) has achieved promising results on various vi...
research
∙
12/04/2021
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing
Recent studies have shown that StyleGANs provide promising prior models ...
research
∙
04/12/2021
Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis
In this paper, we explore the open-domain sketch-to-photo translation, w...
research
∙
03/30/2021
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues
Recently, significant progress has been made in single-view depth estima...
research
∙
05/06/2020
Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Conventional learning-based approaches to low-light image enhancement ty...
research
∙
04/07/2020
Human Motion Transfer from Poses in the Wild
In this paper, we tackle the problem of human motion transfer, where we ...
research
∙
02/24/2020
Anatomy-aware 3D Human Pose Estimation in Videos
In this work, we propose a new solution for 3D human pose estimation in ...
research
∙
06/17/2019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Deep learning-based methods have achieved remarkable success in image re...
research
∙
06/03/2019
Fashion Editing with Multi-scale Attention Normalization
Interactive fashion image manipulation, which enables users to edit imag...
research
∙
04/09/2019
Graphonomy: Universal Human Parsing via Graph Transfer Learning
Prior highly-tuned human parsing models tend to fit towards each dataset...
research
∙
04/01/2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses
This paper focuses on learning transferable adversarial examples specifi...
research
∙
10/18/2018
DeepLens: Shallow Depth Of Field From A Single Image
We aim to generate high resolution shallow depth-of-field (DoF) images f...
research
∙
08/18/2018
Concept Mask: Large-Scale Segmentation from Semantic Concepts
Existing works on semantic segmentation typically consider a small numbe...
research
∙
07/17/2018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval
Multi-task learning has been widely adopted in many computer vision task...
research
∙
06/10/2018
Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
research
∙
05/02/2018
Towards Interpretable Face Recognition
Deep CNNs have been pushing the frontier of visual recognition over past...
research
∙
04/05/2018
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
Human parsing and pose estimation have recently received considerable in...
research
∙
01/24/2018
MAttNet: Modular Attention Network for Referring Expression Comprehension
In this paper, we address referring expression comprehension: localizing...
research
∙
01/24/2018
Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
research
∙
11/09/2017
Predicting Scene Parsing and Motion Dynamics in the Future
The ability of predicting the future is important for intelligent system...
research
∙
10/17/2017
Scene Parsing with Global Context Embedding
We present a scene parsing method that utilizes global context informati...
research
∙
10/04/2017
Learning to Segment Human by Watching YouTube
An intuition on human segmentation is that when a human is moving in a v...
research
∙
08/08/2017
FoveaNet: Perspective-aware Urban Scene Parsing
Parsing urban scene images benefits many applications, especially self-d...
research
∙
07/19/2017
Recognizing and Curating Photo Albums via Event-Specific Image Importance
Automatic organization of personal photos is a problem with many real wo...
research
∙
04/01/2017
Learning to Predict Indoor Illumination from a Single Image
We propose an automatic method to infer high dynamic range illumination ...
research
∙
03/23/2017
Recurrent Multimodal Interaction for Referring Image Segmentation
In this paper we are interested in the problem of image segmentation giv...
research
∙
03/16/2017
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 ...
research
∙
03/08/2017
Interpretable Structure-Evolving LSTM
This paper develops a general framework for learning interpretable data ...
research
∙
02/28/2017
Deep Image Harmonization
Compositing is one of the most common operations in photo editing. To ge...
research
∙
12/06/2016
Learning to Detect Multiple Photographic Defects
In this paper, we introduce the problem of simultaneously detecting mult...
research
∙
12/01/2016
Video Scene Parsing with Predictive Feature Learning
In this work, we address the challenging video scene parsing problem by ...
research
∙
08/01/2016
Top-down Neural Attention by Excitation Backprop
We aim to model the top-down attention of a Convolutional Neural Network...
research
∙
07/26/2016
Salient Object Subitizing
We study the problem of Salient Object Subitizing, i.e. predicting the e...
research
∙
06/08/2016
Progressive Attention Networks for Visual Attribute Prediction
We propose a novel attention model that can accurately attend to target ...
research
∙
06/06/2016
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Real-world applications could benefit from the ability to automatically ...
research
∙
03/23/2016
Semantic Object Parsing with Graph LSTM
By taking the semantic object parsing task as an exemplar application sc...
research
∙
11/14/2015
Reversible Recursive Instance-level Object Segmentation
In this work, we propose a novel Reversible Recursive Instance-level Obj...
research
∙
11/14/2015
Semantic Object Parsing with Local-Global Long Short-Term Memory
Semantic object parsing is a fundamental task for understanding objects ...
research
∙
11/12/2015
Automatic Content-Aware Color and Tone Stylization
We introduce a new technique that automatically generates diverse, visua...
research
∙
09/10/2015
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
Recently, significant improvement has been made on semantic object segme...
research
∙
09/09/2015
Proposal-free Network for Instance-level Object Segmentation
Instance-level object segmentation is an important yet under-explored ta...
research
∙
05/27/2015
Inner and Inter Label Propagation: Salient Object Detection in the Wild
In this paper, we propose a novel label propagation based method for sal...
research
∙
05/01/2015
Joint Object and Part Segmentation using Deep Learned Potentials
Segmenting semantic objects from images and parsing them into their resp...
research
∙
04/06/2015
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Both parametric and non-parametric approaches have demonstrated encourag...
research
∙
03/09/2015