152 citations · 788 across the 49 of their papers we have counts for
15 papers · 1 filter
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation
Henghui Ding, Hui Zhang, Xudong Jiang
The deep CNNs in image semantic segmentation typically require a large number of densely-annotated images for training and have difficulties in generalizing to unseen object catego…
VLT: Vision-Language Transformer and Query Generation for Referring Segmentation
Henghui Ding, Chang Liu, Suchen Wang +1
We propose a Vision-Language Transformer (VLT) framework for referring segmentation to facilitate deep interactions among multi-modal information and enhance the holistic understan…
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang, Yuhui Yuan, Henghui Ding +6
Vision transformers have recently achieved competitive results across various vision tasks but still suffer from heavy computation costs when processing a large number of tokens. M…
Towards Robust Referring Image Segmentation
Jianzong Wu, Xiangtai Li, Xia Li +3
Referring Image Segmentation (RIS) is a fundamental vision-language task that outputs object masks based on text descriptions. Many works have achieved considerable progress for RI…
Video Mask Transfiner for High-Quality Video Instance Segmentation
Lei Ke, Henghui Ding, Martin Danelljan +3
While Video Instance Segmentation (VIS) has seen rapid progress, current approaches struggle to predict high-quality masks with accurate boundary details. Moreover, the predicted s…
Tracking Every Thing in the Wild
Siyuan Li, Martin Danelljan, Henghui Ding +2
Current multi-category Multiple Object Tracking (MOT) metrics use class labels to group tracking results for per-class evaluation. Similarly, MOT methods typically only associate o…
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…
Distilling Knowledge from Object Classification to Aesthetics Assessment
Jingwen Hou, Henghui Ding, Weisi Lin +2
In this work, we point out that the major dilemma of image aesthetics assessment (IAA) comes from the abstract nature of aesthetic labels. That is, a vast variety of distinct conte…
Long-tailed Recognition by Learning from Latent Categories
Weide Liu, Zhonghua Wu, Yiming Wang +4
In this work, we address the challenging task of long-tailed image recognition. Previous long-tailed recognition methods commonly focus on the data augmentation or re-balancing str…
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives
Xinke Li, Henghui Ding, Zekun Tong +2
Numerous advancements in deep learning can be attributed to the access to large-scale and well-annotated datasets. However, such a dataset is prohibitively expensive in 3D computer…
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Yuanhao Cai, Jing Lin, Haoqian Wang +5
In coded aperture snapshot spectral compressive imaging (CASSI) systems, hyperspectral image (HSI) reconstruction methods are employed to recover the spatial-spectral signal from a…
A Closer Look at Few-shot Image Generation
Yunqing Zhao, Henghui Ding, Houjing Huang +1
Modern GANs excel at generating high quality and diverse images. However, when transferring the pretrained GANs on small target data (e.g., 10-shot), the generator tends to replica…
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…
Learning Local and Global Temporal Contexts for Video Semantic Segmentation
Guolei Sun, Yun Liu, Henghui Ding +2
Contextual information plays a core role for video semantic segmentation (VSS). This paper summarizes contexts for VSS in two-fold: local temporal contexts (LTC) which define the c…
Flow-Guided Sparse Transformer for Video Deblurring
Jing Lin, Yuanhao Cai, Xiaowan Hu +7
Exploiting similar and sharper scene patches in spatio-temporal neighborhoods is critical for video deblurring. However, CNN-based methods show limitations in capturing long-range…