b'Xiaohui Shen'

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...

0 Bowen Zhang, et al. ∙

research

∙ 07/27/2022

Contrastive Masked Autoencoders are Stronger Vision Learners

Masked image modeling (MIM) has achieved promising results on various vi...

0 Zhicheng Huang, et al. ∙

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 ...

0 Yichun Shi, et al. ∙

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...

7 Xiaoyu Xiang, et al. ∙

research

∙ 03/30/2021

DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues

Recently, significant progress has been made in single-view depth estima...

1 Yifan Wang, et al. ∙

research

∙ 05/06/2020

Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks

Conventional learning-based approaches to low-light image enhancement ty...

9 Wei Xiong, et al. ∙

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 ...

5 Jian Ren, et al. ∙

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 ...

16 Tianlang Chen, et al. ∙

research

∙ 06/17/2019

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...

26 Yifan Jiang, et al. ∙

research

∙ 06/03/2019

Fashion Editing with Multi-scale Attention Normalization

Interactive fashion image manipulation, which enables users to edit imag...

0 Haoye Dong, et al. ∙

research

∙ 04/09/2019

Graphonomy: Universal Human Parsing via Graph Transfer Learning

Prior highly-tuned human parsing models tend to fit towards each dataset...

0 Ke Gong, et al. ∙

research

∙ 04/01/2019

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

This paper focuses on learning transferable adversarial examples specifi...

4 Yingwei Li, et al. ∙

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...

0 Lijun Wang, et al. ∙

research

∙ 08/18/2018

Concept Mask: Large-Scale Segmentation from Semantic Concepts

Existing works on semantic segmentation typically consider a small numbe...

4 Yufei Wang, et al. ∙

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...

0 Xiangyun Zhao, et al. ∙

research

∙ 06/10/2018

Free-Form Image Inpainting with Gated Convolution

We present a novel deep learning based image inpainting system to comple...

0 Jiahui Yu, et al. ∙

research

∙ 05/02/2018

Towards Interpretable Face Recognition

Deep CNNs have been pushing the frontier of visual recognition over past...

0 Bangjie Yin, et al. ∙

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...

0 Xiaodan Liang, et al. ∙

research

∙ 01/24/2018

MAttNet: Modular Attention Network for Referring Expression Comprehension

In this paper, we address referring expression comprehension: localizing...

0 Licheng Yu, et al. ∙

research

∙ 01/24/2018

Generative Image Inpainting with Contextual Attention

Recent deep learning based approaches have shown promising results on im...

0 Jiahui Yu, et al. ∙

research

∙ 11/09/2017

Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...

0 Xiaojie Jin, et al. ∙

research

∙ 10/17/2017

Scene Parsing with Global Context Embedding

We present a scene parsing method that utilizes global context informati...

0 Wei-Chih Hung, et al. ∙

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...

0 Xiaodan Liang, et al. ∙

research

∙ 08/08/2017

FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...

0 Xin Li, et al. ∙

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...

0 Yufei Wang, et al. ∙

research

∙ 04/01/2017

Learning to Predict Indoor Illumination from a Single Image

We propose an automatic method to infer high dynamic range illumination ...

0 Marc-André Gardner, et al. ∙

research

∙ 03/23/2017

Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...

0 Chenxi Liu, et al. ∙

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 ...

0 Ke Gong, et al. ∙

research

∙ 03/08/2017

Interpretable Structure-Evolving LSTM

This paper develops a general framework for learning interpretable data ...

0 Xiaodan Liang, et al. ∙

research

∙ 02/28/2017

Deep Image Harmonization

Compositing is one of the most common operations in photo editing. To ge...

0 Yi-Hsuan Tsai, et al. ∙

research

∙ 12/06/2016

Learning to Detect Multiple Photographic Defects

In this paper, we introduce the problem of simultaneously detecting mult...

0 Ning Yu, et al. ∙

research

∙ 12/01/2016

Video Scene Parsing with Predictive Feature Learning

In this work, we address the challenging video scene parsing problem by ...

0 Xiaojie Jin, et al. ∙

research

∙ 08/01/2016

Top-down Neural Attention by Excitation Backprop

We aim to model the top-down attention of a Convolutional Neural Network...

0 Jianming Zhang, et al. ∙

research

∙ 07/26/2016

Salient Object Subitizing

We study the problem of Salient Object Subitizing, i.e. predicting the e...

0 Jianming Zhang, et al. ∙

research

∙ 06/08/2016

Progressive Attention Networks for Visual Attribute Prediction

We propose a novel attention model that can accurately attend to target ...

0 Paul Hongsuck Seo, et al. ∙

research

∙ 06/06/2016

Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Real-world applications could benefit from the ability to automatically ...

0 Shu Kong, et al. ∙

research

∙ 03/23/2016

Semantic Object Parsing with Graph LSTM

By taking the semantic object parsing task as an exemplar application sc...

0 Xiaodan Liang, et al. ∙

research

∙ 11/14/2015

Reversible Recursive Instance-level Object Segmentation

In this work, we propose a novel Reversible Recursive Instance-level Obj...

0 Xiaodan Liang, et al. ∙

research

∙ 11/14/2015

Semantic Object Parsing with Local-Global Long Short-Term Memory

Semantic object parsing is a fundamental task for understanding objects ...

0 Xiaodan Liang, et al. ∙

research

∙ 11/12/2015

Automatic Content-Aware Color and Tone Stylization

We introduce a new technique that automatically generates diverse, visua...

0 Joon-Young Lee, et al. ∙

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...

0 Yunchao Wei, et al. ∙

research

∙ 09/09/2015

Proposal-free Network for Instance-level Object Segmentation

Instance-level object segmentation is an important yet under-explored ta...

0 Xiaodan Liang, et al. ∙

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...

0 Hongyang Li, et al. ∙

research

∙ 05/01/2015

Joint Object and Part Segmentation using Deep Learned Potentials

Segmenting semantic objects from images and parsing them into their resp...

0 Peng Wang, et al. ∙

research

∙ 04/06/2015

Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

Both parametric and non-parametric approaches have demonstrated encourag...

0 Si Liu, et al. ∙

research

∙ 03/09/2015

Deep Human Parsing with Active Template Regression

In this work, the human parsing task, namely decomposing a human image i...

0 Xiaodan Liang, et al. ∙

Xiaohui Shen

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