Search Results for author: Jinqing Qi

Found 8 papers, 5 papers with code

Few-Shot Segmentation via Rich Prototype Generation and Recurrent Prediction Enhancement

no code implementations3 Oct 2022 Hongsheng Wang, Xiaoqi Zhao, Youwei Pang, Jinqing Qi

In this research, we propose a rich prototype generation module (RPGM) and a recurrent prediction enhancement module (RPEM) to reinforce the prototype learning paradigm and build a unified memory-augmented decoder for few-shot segmentation, respectively.

Segmentation

HAT: Hierarchical Aggregation Transformers for Person Re-identification

1 code implementation13 Jul 2021 Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu

In this work, we take advantages of both CNNs and Transformers, and propose a novel learning framework named Hierarchical Aggregation Transformer (HAT) for image-based person Re-ID with high performance.

Person Re-Identification Person Retrieval +1

Coherent Loss: A Generic Framework for Stable Video Segmentation

no code implementations25 Oct 2020 Mingyang Qian, Yi Fu, Xiao Tan, YingYing Li, Jinqing Qi, Huchuan Lu, Shilei Wen, Errui Ding

Video segmentation approaches are of great importance for numerous vision tasks especially in video manipulation for entertainment.

Segmentation Semantic Segmentation +2

Learning regression and verification networks for long-term visual tracking

3 code implementations12 Sep 2018 Yunhua Zhang, Dong Wang, Lijun Wang, Jinqing Qi, Huchuan Lu

Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection if absent.

General Classification Object +3

Structured Siamese Network for Real-Time Visual Tracking

no code implementations ECCV 2018 Yunhua Zhang, Lijun Wang, Jinqing Qi, Dong Wang, Mengyang Feng, Huchuan Lu

In this paper, we circumvent this issue by proposing a local structure learning method, which simultaneously considers the local patterns of the target and their structural relationships for more accurate target tracking.

Real-Time Visual Tracking

Progressive Attention Guided Recurrent Network for Salient Object Detection

1 code implementation CVPR 2018 Xiaoning Zhang, Tiantian Wang, Jinqing Qi, Huchuan Lu, Gang Wang

In this paper, we propose a novel attention guided network which selectively integrates multi-level contextual information in a progressive manner.

Ranked #11 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)

Object object-detection +3

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