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12/07/2020
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
Video instance segmentation is a complex task in which we need to detect...
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06/28/2020
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
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06/08/2020
Neural Sparse Representation for Image Restoration
Inspired by the robustness and efficiency of sparse representation in sp...
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06/02/2020
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
Deep convolution-based single image super-resolution (SISR) networks emb...
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04/28/2020
Pyramid Attention Networks for Image Restoration
Self-similarity refers to the image prior widely used in image restorati...
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04/21/2020
The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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04/02/2020
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
Learning segmentation from synthetic data and adapting to real data can ...
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03/30/2020
Laplacian Denoising Autoencoder
While deep neural networks have been shown to perform remarkably well in...
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03/18/2020
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
We consider the problem of unsupervised domain adaptation for semantic s...
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03/15/2020
Deep Affinity Net: Instance Segmentation via Affinity
Most of the modern instance segmentation approaches fall into two catego...
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01/05/2020
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
The success of deep learning in visual recognition tasks has driven adva...
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12/19/2019
Scale-wise Convolution for Image Restoration
While scale-invariant modeling has substantially boosted the performance...
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11/22/2019
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
In this work, we introduce Panoptic-DeepLab, a simple, strong, and fast ...
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11/17/2019
Any-Precision Deep Neural Networks
We present Any-Precision Deep Neural Networks (Any-Precision DNNs), whic...
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10/10/2019
Panoptic-DeepLab
We present Panoptic-DeepLab, a bottom-up and single-shot approach for pa...
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09/09/2019
Learning a Self-inverse Network for Unpaired Bidirectional Image-to-image Translation
Recently image-to-image translation has attracted significant interests ...
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09/09/2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation
The one-to-one mapping is necessary for many bidirectional image-to-imag...
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08/27/2019
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation
In this paper, we are interested in bottom-up multi-person human pose es...
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11/23/2018
Revisiting Pre-training: An Efficient Training Method for Image Classification
The training method of repetitively feeding all samples into a pre-defin...
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09/06/2018
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
Image denoising and high-level vision tasks are usually handled independ...
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06/10/2018
Free-Form Image Inpainting with Gated Convolution
We present a novel deep learning based image inpainting system to comple...
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06/07/2018
Non-Local Recurrent Network for Image Restoration
Many classic methods have shown non-local self-similarity in natural ima...
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05/11/2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Despite the remarkable progress, weakly supervised segmentation approach...
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05/07/2018
Image Super-Resolution via Dual-State Recurrent Networks
Advances in image super-resolution (SR) have recently benefited signific...
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01/24/2018
Generative Image Inpainting with Contextual Attention
Recent deep learning based approaches have shown promising results on im...
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12/20/2017
Enhance Visual Recognition under Adverse Conditions via Deep Networks
Visual recognition under adverse conditions is a very important and chal...
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12/04/2017
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids
In this paper, we propose gated recurrent feature pyramid for the proble...
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10/05/2017
Dilated Recurrent Neural Networks
Learning with recurrent neural networks (RNNs) on long sequences is a no...
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09/10/2017
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Emotion recognition from facial expressions is tremendously useful, espe...
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09/05/2017
Discriminative Similarity for Clustering and Semi-Supervised Learning
Similarity-based clustering and semi-supervised learning methods separat...
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06/14/2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Conventionally, image denoising and high-level vision tasks are handled ...
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04/20/2017
Fast Generation for Convolutional Autoregressive Models
Convolutional autoregressive models have recently demonstrated state-of-...
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12/08/2016
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation
Learning from weakly-supervised data is one of the main challenges in ma...
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08/23/2016
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters
This paper emphasizes the significance to jointly exploit the problem st...
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08/14/2016
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
With the agreement of my coauthors, I Zhangyang Wang would like to withd...
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04/06/2016
Learning A Deep ℓ_∞ Encoder for Hashing
We investigate the ℓ_∞-constrained representation which demonstrates rob...
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02/26/2016
Seq-NMS for Video Object Detection
Video object detection is challenging because objects that are easily de...
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02/24/2016
How Deep Neural Networks Can Improve Emotion Recognition on Video Data
We consider the task of dimensional emotion recognition on video data us...
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01/16/2016
Brain-Inspired Deep Networks for Image Aesthetics Assessment
Image aesthetics assessment has been challenging due to its subjective n...
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01/16/2016
Studying Very Low Resolution Recognition Using Deep Networks
Visual recognition research often assumes a sufficient resolution of the...
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01/16/2016
D^3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images
In this paper, we design a Deep Dual-Domain (D^3) based fast restoration...
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10/10/2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Despite being the appearance-based classifier of choice in recent years,...
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09/01/2015
Learning Deep ℓ_0 Encoders
Despite its nonconvex nature, ℓ_0 sparse approximation is desirable in m...
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09/01/2015
Learning A Task-Specific Deep Architecture For Clustering
While sparse coding-based clustering methods have shown to be successful...
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07/12/2015
DeepFont: Identify Your Font from An Image
As font is one of the core design concepts, automatic font identificatio...
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04/22/2015
Self-Tuned Deep Super Resolution
Deep learning has been successfully applied to image super resolution (S...
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03/31/2015
Real-World Font Recognition Using Deep Network and Domain Adaptation
We address a challenging fine-grain classification problem: recognizing ...
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03/12/2015
Designing A Composite Dictionary Adaptively From Joint Examples
We study the complementary behaviors of external and internal examples i...
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03/03/2015
Learning Super-Resolution Jointly from External and Internal Examples
Single image super-resolution (SR) aims to estimate a high-resolution (H...
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12/20/2014