activity
20162023
most citedLocal-Global Context Aware Transformer for Language-Guided Video Segmentation

105 citations · 277 across the 34 of their papers we have counts for

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Showing 2022 · cs.CVShow all

13 papers · 2 filters

cs.CV2022★ 27 cited

StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition

Xiaolong Shen, Zhedong Zheng, Yi Yang

The goal of sign language recognition (SLR) is to help those who are hard of hearing or deaf overcome the communication barrier. Most existing approaches can be typically divided i…

cs.CV2022★ 3 cited

PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Mu Chen, Zhedong Zheng, Yi Yang +1

Unsupervised Domain Adaptation (UDA) aims to enhance the generalization of the learned model to other domains. The domain-invariant knowledge is transferred from the model trained…

cs.CV2022★ 11 cited

Learning Cross-view Geo-localization Embeddings via Dynamic Weighted Decorrelation Regularization

Tingyu Wang, Zhedong Zheng, Zunjie Zhu +3

Cross-view geo-localization aims to spot images of the same location shot from two platforms, e.g., the drone platform and the satellite platform. Existing methods usually focus on…

cs.CV2022★ 27 cited

Feature-Proxy Transformer for Few-Shot Segmentation

Jian-Wei Zhang, Yifan Sun, Yi Yang +1

Few-shot segmentation (FSS) aims at performing semantic segmentation on novel classes given a few annotated support samples. With a rethink of recent advances, we find that the cur…

cs.CV2022★ 1 cited

GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning

Benyuan Sun, Jin Dai, Zihao Liang +3

Pre-training over mixtured multi-task, multi-domain, and multi-modal data remains an open challenge in vision perception pre-training. In this paper, we propose GPPF, a General Per…

cs.CV2022★ 3 cited

Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation

Yucheng Suo, Zhedong Zheng, Xiaohan Wang +2

Sign language is the window for people differently-abled to express their feelings as well as emotions. However, it remains challenging for people to learn sign language in a short…

cs.CV2022★ 3 cited

3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective

Zhedong Zheng, Jiayin Zhu, Wei Ji +2

This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry shape and texture of human clothing from a single image. Compared with…

cs.CV2022★ 7 cited

Multiple-environment Self-adaptive Network for Aerial-view Geo-localization

Tingyu Wang, Zhedong Zheng, Yaoqi Sun +3

Aerial-view geo-localization tends to determine an unknown position through matching the drone-view image with the geo-tagged satellite-view image. This task is mostly regarded as…

cs.CV2022★ 1 cited

Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

Yulei Lu, Yawei Luo, Li Zhang +3

A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them. Under this self-training…

cs.CV2022

Deep Hierarchical Semantic Segmentation

Liulei Li, Tianfei Zhou, Wenguan Wang +2

Humans are able to recognize structured relations in observation, allowing us to decompose complex scenes into simpler parts and abstract the visual world in multiple levels. Howev…

cs.CV2022★ 4 cited

Automated Progressive Learning for Efficient Training of Vision Transformers

Changlin Li, Bohan Zhuang, Guangrun Wang +3

Recent advances in vision Transformers (ViTs) have come with a voracious appetite for computing power, high-lighting the urgent need to develop efficient training methods for ViTs.…

cs.CV2022★ 11 cited

Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate Domains

Yongxing Dai, Yifan Sun, Jun Liu +3

Cross-domain person re-identification (re-ID), such as unsupervised domain adaptive (UDA) re-ID, aims to transfer the identity-discriminative knowledge from the source to the targe…

cs.CV2022★ 105 cited

Local-Global Context Aware Transformer for Language-Guided Video Segmentation

Chen Liang, Wenguan Wang, Tianfei Zhou +3

We explore the task of language-guided video segmentation (LVS). Previous algorithms mostly adopt 3D CNNs to learn video representation, struggling to capture long-term context and…