Jian Sun

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

In this work, we present a novel data-driven method for robust 6DoF obje...
11/11/2019 ∙ by Yisheng He, et al. ∙ 35 ∙ share

read it
ThunderNet: Towards Real-time Generic Object Detection

Real-time generic object detection on mobile platforms is a crucial but ...
03/28/2019 ∙ by Zheng Qin, et al. ∙ 22 ∙ share

read it
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization

Batch Normalization (BN) is one of the most widely used techniques in De...
01/19/2020 ∙ by Junjie Yan, et al. ∙ 20 ∙ share

read it
Disentangled Image Matting

Most previous image matting methods require a roughly-specificed trimap ...
09/10/2019 ∙ by Shaofan Cai, et al. ∙ 10 ∙ share

read it
Structured and Localized Image Restoration

We present a novel approach to image restoration that leverages ideas fr...
06/16/2020 ∙ by Thomas Eboli, et al. ∙ 10 ∙ share

read it
GridFace: Face Rectification via Learning Local Homography Transformations

In this paper, we propose a method, called GridFace, to reduce facial ge...
08/19/2018 ∙ by Erjin Zhou, et al. ∙ 6 ∙ share

read it
Joint Multi-Dimension Pruning

We present joint multi-dimension pruning (named as JointPruning), a new ...
05/18/2020 ∙ by Zechun Liu, et al. ∙ 6 ∙ share

read it
A Statistical Learning Approach to Reactive Power Control in Distribution Systems

Pronounced variability due to the growth of renewable energy sources, fl...
10/25/2019 ∙ by Qiuling Yang, et al. ∙ 5 ∙ share

read it
Learning Dynamic Routing for Semantic Segmentation

Recently, numerous handcrafted and searched networks have been applied f...
03/23/2020 ∙ by Yanwei Li, et al. ∙ 4 ∙ share

read it
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims to match occluded person i...
03/18/2020 ∙ by Guan'an Wang, et al. ∙ 3 ∙ share

read it
Stitcher: Feedback-driven Data Provider for Object Detection

Object detectors commonly vary quality according to scales, where the pe...
04/26/2020 ∙ by Yukang Chen, et al. ∙ 3 ∙ share

read it
Unified Perceptual Parsing for Scene Understanding

Humans recognize the visual world at multiple levels: we effortlessly ca...
07/26/2018 ∙ by Tete Xiao, et al. ∙ 2 ∙ share

read it
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

In this paper, we propose a novel method called AlignedReID that extract...
11/22/2017 ∙ by Xuan Zhang, et al. ∙ 0 ∙ share

read it
Repulsion Loss: Detecting Pedestrians in a Crowd

Detecting individual pedestrians in a crowd remains a challenging proble...
11/21/2017 ∙ by Xinlong Wang, et al. ∙ 0 ∙ share

read it
Cascaded Pyramid Network for Multi-Person Pose Estimation

The topic of multi-person pose estimation has been largely improved rece...
11/20/2017 ∙ by Yilun Chen, et al. ∙ 0 ∙ share

read it
Light-Head R-CNN: In Defense of Two-Stage Object Detector

In this paper, we first investigate why typical two-stage methods are no...
11/20/2017 ∙ by Zeming Li, et al. ∙ 0 ∙ share

read it
MegDet: A Large Mini-Batch Object Detector

The improvements in recent CNN-based object detection works, from R-CNN ...
11/20/2017 ∙ by Chao Peng, et al. ∙ 0 ∙ share

read it
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images

Multi-atlas segmentation approach is one of the most widely-used image s...
09/27/2017 ∙ by Heran Yang, et al. ∙ 0 ∙ share

read it
Channel Pruning for Accelerating Very Deep Neural Networks

In this paper, we introduce a new channel pruning method to accelerate v...
07/19/2017 ∙ by Yihui He, et al. ∙ 0 ∙ share

read it
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

We introduce an extremely computation-efficient CNN architecture named S...
07/04/2017 ∙ by Xiangyu Zhang, et al. ∙ 0 ∙ share

read it
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Compressive sensing (CS) is an effective approach for fast Magnetic Reso...
05/19/2017 ∙ by Yan Yang, et al. ∙ 0 ∙ share

read it
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network

One of recent trends [30, 31, 14] in network architec- ture design is st...
03/08/2017 ∙ by Chao Peng, et al. ∙ 0 ∙ share

read it
Deep Learning with Low Precision by Half-wave Gaussian Quantization

The problem of quantizing the activations of a deep neural network is co...
02/03/2017 ∙ by Zhaowei Cai, et al. ∙ 0 ∙ share

read it
R-FCN: Object Detection via Region-based Fully Convolutional Networks

We present region-based, fully convolutional networks for accurate and e...
05/20/2016 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

read it
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation

Large-scale data is of crucial importance for learning semantic segmenta...
04/18/2016 ∙ by Di Lin, et al. ∙ 0 ∙ share

read it
Rich Image Captioning in the Wild

We present an image caption system that addresses new challenges of auto...
03/30/2016 ∙ by Kenneth Tran, et al. ∙ 0 ∙ share

read it
Instance-sensitive Fully Convolutional Networks

Fully convolutional networks (FCNs) have been proven very successful for...
03/29/2016 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

read it
Identity Mappings in Deep Residual Networks

Deep residual networks have emerged as a family of extremely deep archit...
03/16/2016 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Instance-aware Semantic Segmentation via Multi-task Network Cascades

Semantic segmentation research has recently witnessed rapid progress, bu...
12/14/2015 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

read it
Deep Residual Learning for Image Recognition

Deeper neural networks are more difficult to train. We present a residua...
12/10/2015 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition

In this paper, we present a novel approach to automatic 3D Facial Expres...
11/10/2015 ∙ by Huibin Li, et al. ∙ 0 ∙ share

read it
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

State-of-the-art object detection networks depend on region proposal alg...
06/04/2015 ∙ by Shaoqing Ren, et al. ∙ 0 ∙ share

read it
Accelerating Very Deep Convolutional Networks for Classification and Detection

This paper aims to accelerate the test-time computation of convolutional...
05/26/2015 ∙ by Xiangyu Zhang, et al. ∙ 0 ∙ share

read it
Fast Guided Filter

The guided filter is a technique for edge-aware image filtering. Because...
05/05/2015 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Object Detection Networks on Convolutional Feature Maps

Most object detectors contain two important components: a feature extrac...
04/23/2015 ∙ by Shaoqing Ren, et al. ∙ 0 ∙ share

read it
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements

Background subtraction has been a fundamental and widely studied task in...
03/06/2015 ∙ by Wenfei Cao, et al. ∙ 0 ∙ share

read it
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

Recent leading approaches to semantic segmentation rely on deep convolut...
03/05/2015 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

read it
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal

In this paper, we address the problem of estimating and removing non-uni...
03/02/2015 ∙ by Jian Sun, et al. ∙ 0 ∙ share

read it
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Rectified activation units (rectifiers) are essential for state-of-the-a...
02/06/2015 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Convolutional Neural Networks at Constrained Time Cost

Though recent advanced convolutional neural networks (CNNs) have been im...
12/04/2014 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Convolutional Feature Masking for Joint Object and Stuff Segmentation

The topic of semantic segmentation has witnessed considerable progress d...
12/03/2014 ∙ by Jifeng Dai, et al. ∙ 0 ∙ share

read it
Efficient and Accurate Approximations of Nonlinear Convolutional Networks

This paper aims to accelerate the test-time computation of deep convolut...
11/16/2014 ∙ by Xiangyu Zhang, et al. ∙ 0 ∙ share

read it
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Existing deep convolutional neural networks (CNNs) require a fixed-size ...
06/18/2014 ∙ by Kaiming He, et al. ∙ 0 ∙ share

read it
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons

Bezigons, i.e., closed paths composed of Bézier curves, have been widely...
02/05/2016 ∙ by Ming Yang, et al. ∙ 0 ∙ share

read it
DetNet: A Backbone network for Object Detection

Recent CNN based object detectors, no matter one-stage methods like YOLO...
04/17/2018 ∙ by Zeming Li, et al. ∙ 0 ∙ share

read it
ExFuse: Enhancing Feature Fusion for Semantic Segmentation

Modern semantic segmentation frameworks usually combine low-level and hi...
04/11/2018 ∙ by Zhenli Zhang, et al. ∙ 0 ∙ share

read it
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment

Automated vehicles are deemed to be the key element for the intelligent ...
04/17/2018 ∙ by Yingjun Ye, et al. ∙ 0 ∙ share

read it
CrowdHuman: A Benchmark for Detecting Human in a Crowd

Human detection has witnessed impressive progress in recent years. Howev...
04/30/2018 ∙ by Shuai Shao, et al. ∙ 0 ∙ share

read it
MetaAnchor: Learning to Detect Objects with Customized Anchors

We propose a novel and flexible anchor mechanism named MetaAnchor for ob...
07/03/2018 ∙ by Tong Yang, et al. ∙ 0 ∙ share

read it
Learning Visually-Grounded Semantics from Contrastive Adversarial Samples

We study the problem of grounding distributional representations of text...
06/27/2018 ∙ by Haoyue Shi, et al. ∙ 0 ∙ share

read it

Jian Sun

Featured Co-authors