85 citations · 182 across the 10 of their papers we have counts for
13 papers
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…
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…
Feature Distillation With Guided Adversarial Contrastive Learning
Tao Bai, Jinnan Chen, Jun Zhao +3
Deep learning models are shown to be vulnerable to adversarial examples. Though adversarial training can enhance model robustness, typical approaches are computationally expensive.…
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…