Search Results for author: Shengping Zhang

Found 19 papers, 11 papers with code

Long-Range Feature Propagating for Natural Image Matting

1 code implementation25 Sep 2021 Qinglin Liu, Haozhe Xie, Shengping Zhang, Bineng Zhong, Rongrong Ji

Finally, we use the matting module which takes the image, trimap and context features to estimate the alpha matte.

Ranked #2 on Image Matting on Composition-1K (using extra training data)

Image Matting

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

1 code implementation CVPR 2021 Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang

A practical long-term tracker typically contains three key properties, i. e. an efficient model design, an effective global re-detection strategy and a robust distractor awareness mechanism.

Association Multiple Object Tracking +1

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations22 Mar 2021 Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Object-and-Action Aware Model for Visual Language Navigation

no code implementations ECCV 2020 Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton Van Den Hengel, Qi Wu

The first is object description (e. g., 'table', 'door'), each presenting as a tip for the agent to determine the next action by finding the item visible in the environment, and the second is action specification (e. g., 'go straight', 'turn left') which allows the robot to directly predict the next movements without relying on visual perceptions.

Vision and Language Navigation

Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images

3 code implementations22 Jun 2020 Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, Wenxiu Sun

A multi-scale context-aware fusion module is then introduced to adaptively select high-quality reconstructions for different parts from all coarse 3D volumes to obtain a fused 3D volume.

3D Object Reconstruction

GRNet: Gridding Residual Network for Dense Point Cloud Completion

1 code implementation ECCV 2020 Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun

In particular, we devise two novel differentiable layers, named Gridding and Gridding Reverse, to convert between point clouds and 3D grids without losing structural information.

Point Cloud Completion

Scene Text Recognition via Transformer

no code implementations18 Mar 2020 Xinjie Feng, Hongxun Yao, Yuankai Qi, Jun Zhang, Shengping Zhang

Different from previous transformer based models [56, 34], which just use the decoder of the transformer to decode the convolutional attention, the proposed method use a convolutional feature maps as word embedding input into transformer.

Scene Text Recognition

Siamese Box Adaptive Network for Visual Tracking

2 code implementations CVPR 2020 Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji

Most of the existing trackers usually rely on either a multi-scale searching scheme or pre-defined anchor boxes to accurately estimate the scale and aspect ratio of a target.

Visual Tracking

Toward 3D Object Reconstruction from Stereo Images

1 code implementation18 Oct 2019 Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaoshuai Sun, Wenxiu Sun

Inferring the 3D shape of an object from an RGB image has shown impressive results, however, existing methods rely primarily on recognizing the most similar 3D model from the training set to solve the problem.

3D Object Reconstruction Benchmarking

Sketch-Specific Data Augmentation for Freehand Sketch Recognition

no code implementations14 Oct 2019 Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli

Conventional methods for this task often rely on the availability of the temporal order of sketch strokes, additional cues acquired from different modalities and supervised augmentation of sketch datasets with real images, which also limit the applicability and feasibility of these methods in real scenarios.

Data Augmentation Retrieval +2

Light Field Saliency Detection with Deep Convolutional Networks

2 code implementations19 Jun 2019 Jun Zhang, Yamei Liu, Shengping Zhang, Ronald Poppe, Meng Wang

Light field imaging presents an attractive alternative to RGB imaging because of the recording of the direction of the incoming light.

Benchmarking Saliency Detection

DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks

1 code implementation12 May 2019 Jun Zhang, Tong Zheng, Shengping Zhang, Meng Wang

First, the contextual net with a center-surround architecture extracts local contextual features from image patches, and generates initial illuminant estimates and the corresponding color corrected patches.

Color Constancy

Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images

5 code implementations ICCV 2019 Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang

Then, a context-aware fusion module is introduced to adaptively select high-quality reconstructions for each part (e. g., table legs) from different coarse 3D volumes to obtain a fused 3D volume.

3D Object Reconstruction 3D Reconstruction

Convolutional Neural Networks based Intra Prediction for HEVC

no code implementations17 Aug 2018 Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, WangMeng Zuo, Debin Zhao

To overcome this problem, in this paper, an intra prediction convolutional neural network (IPCNN) is proposed for intra prediction, which exploits the rich context of the current block and therefore is capable of improving the accuracy of predicting the current block.

An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios

1 code implementation13 Apr 2018 Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao

To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.

Compressive Sensing Image Compression

Deep Networks for Compressed Image Sensing

no code implementations22 Jul 2017 Wuzhen Shi, Feng Jiang, Shengping Zhang, Debin Zhao

First of all, we train a sampling matrix via the network training instead of using a traditional manually designed one, which is much appropriate for our deep network based reconstruct process.

Image Compression

Sparse vs. Non-sparse: Which One Is Better for Practical Visual Tracking?

no code implementations30 Jul 2016 Yashar Deldjoo, Shengping Zhang, Bahman Zanj, Paolo Cremonesi, Matteo Matteucci

Recently, sparse representation based visual tracking methods have attracted increasing attention in the computer vision community.

Visual Tracking

Hedged Deep Tracking

no code implementations CVPR 2016 Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang

In recent years, several methods have been developed to utilize hierarchical features learned from a deep convolutional neural network (CNN) for visual tracking.

Visual Tracking

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