85 citations · 253 across the 17 of their papers we have counts for
15 papers · 1 filter
Spatial Feature Mapping for 6DoF Object Pose Estimation
Jianhan Mei, Xudong Jiang, Henghui Ding
This work aims to estimate 6Dof (6D) object pose in background clutter. Considering the strong occlusion and background noise, we propose to utilize the spatial structure for bette…
Instance-Specific Feature Propagation for Referring Segmentation
Chang Liu, Xudong Jiang, Henghui Ding
Referring segmentation aims to generate a segmentation mask for the target instance indicated by a natural language expression. There are typically two kinds of existing methods: o…
Human Activity Recognition Using 3D Orthogonally-projected EfficientNet on Radar Time-Range-Doppler Signature
Zeyu Wang, Chenglin Yao, Jianfeng Ren +1
In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected.…
Attention-based Dual-stream Vision Transformer for Radar Gait Recognition
Shiliang Chen, Wentao He, Jianfeng Ren +1
Radar gait recognition is robust to light variations and less infringement on privacy. Previous studies often utilize either spectrograms or cadence velocity diagrams. While the fo…
Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding, Chang Liu, Suchen Wang +1
In this work, we address the challenging task of referring segmentation. The query expression in referring segmentation typically indicates the target object by describing its rela…
Towards Enhancing Fine-grained Details for Image Matting
Chang Liu, Henghui Ding, Xudong Jiang
In recent years, deep natural image matting has been rapidly evolved by extracting high-level contextual features into the model. However, most current methods still have difficult…
Temporal Distinct Representation Learning for Action Recognition
Junwu Weng, Donghao Luo, Yabiao Wang +6
Motivated by the previous success of Two-Dimensional Convolutional Neural Network (2D CNN) on image recognition, researchers endeavor to leverage it to characterize videos. However…
Object 6D Pose Estimation with Non-local Attention
Jianhan Mei, Henghui Ding, Xudong Jiang
In this paper, we address the challenging task of estimating 6D object pose from a single RGB image. Motivated by the deep learning based object detection methods, we propose a con…
Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
Xiaohong Wang, Xudong Jiang, Henghui Ding +1
Accurate segmentation of skin lesion from dermoscopic images is a crucial part of computer-aided diagnosis of melanoma. It is challenging due to the fact that dermoscopic images fr…
Semantic Correlation Promoted Shape-Variant Context for Segmentation
Henghui Ding, Xudong Jiang, Bing Shuai +2
Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for…
Boundary-Aware Feature Propagation for Scene Segmentation
Henghui Ding, Xudong Jiang, Ai Qun Liu +2
In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different ob…
SPLINE-Net: Sparse Photometric Stereo through Lighting Interpolation and Normal Estimation Networks
Qian Zheng, Yiming Jia, Boxin Shi +3
This paper solves the Sparse Photometric stereo through Lighting Interpolation and Normal Estimation using a generative Network (SPLINE-Net). SPLINE-Net contains a lighting interpo…
Feature Boosting Network For 3D Pose Estimation
Jun Liu, Henghui Ding, Amir Shahroudy +4
In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutiona…
Interest Point Detection based on Adaptive Ternary Coding
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang
In this paper, an adaptive pixel ternary coding mechanism is proposed and a contrast invariant and noise resistant interest point detector is developed on the basis of this mechani…
DCI: Discriminative and Contrast Invertible Descriptor
Zhenwei Miao, Kim-Hui Yap, Xudong Jiang +2
Local feature descriptors have been widely used in fine-grained visual object search thanks to their robustness in scale and rotation variation and cluttered background. However, t…