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11/09/2020
MUSE: Illustrating Textual Attributes by Portrait Generation
We propose a novel approach, MUSE, to illustrate textual attributes visu...
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05/21/2020
Deep learning-based automated image segmentation for concrete petrographic analysis
The standard petrography test method for measuring air voids in concrete...
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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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03/10/2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
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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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11/17/2019
Any-Precision Deep Neural Networks
We present Any-Precision Deep Neural Networks (Any-Precision DNNs), whic...
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09/20/2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
Developing object detection and tracking on resource-constrained embedde...
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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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08/26/2019
SPGNet: Semantic Prediction Guidance for Scene Parsing
Multi-scale context module and single-stage encoder-decoder structure ar...
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04/06/2019
When AWGN-based Denoiser Meets Real Noises
Discriminative learning based image denoisers have achieved promising pe...
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11/26/2018
One Shot Domain Adaptation for Person Re-Identification
How to effectively address the domain adaptation problem is a challengin...
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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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11/21/2018
SpotTune: Transfer Learning through Adaptive Fine-tuning
Transfer learning, which allows a source task to affect the inductive bi...
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11/06/2018
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning
Semantic scene parsing is suffering from the fact that pixel-level annot...
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10/05/2018
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection
In this paper, we analyze failure cases of state-of-the-art detectors an...
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07/13/2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
This work provides a simple approach to discover tight object bounding b...
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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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04/14/2018
Horizontal Pyramid Matching for Person Re-identification
Despite the remarkable recent progress, person Re-identification (Re-ID)...
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03/19/2018
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
Recent region-based object detectors are usually built with separate cla...
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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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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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02/26/2016
