Search Results for author: Donglian Qi

Found 14 papers, 7 papers with code

Triplet Attention Transformer for Spatiotemporal Predictive Learning

no code implementations28 Oct 2023 Xuesong Nie, Xi Chen, Haoyuan Jin, Zhihang Zhu, Yunfeng Yan, Donglian Qi

Spatiotemporal predictive learning offers a self-supervised learning paradigm that enables models to learn both spatial and temporal patterns by predicting future sequences based on historical sequences.

Computational Efficiency Self-Supervised Learning +1

Instruct-ReID: A Multi-purpose Person Re-identification Task with Instructions

1 code implementation CVPR 2024 Weizhen He, Yiheng Deng, Shixiang Tang, Qihao Chen, Qingsong Xie, Yizhou Wang, Lei Bai, Feng Zhu, Rui Zhao, Wanli Ouyang, Donglian Qi, Yunfeng Yan

This paper strives to resolve this problem by proposing a new instruct-ReID task that requires the model to retrieve images according to the given image or language instructions.

Person Re-Identification

UniHCP: A Unified Model for Human-Centric Perceptions

1 code implementation CVPR 2023 Yuanzheng Ci, Yizhou Wang, Meilin Chen, Shixiang Tang, Lei Bai, Feng Zhu, Rui Zhao, Fengwei Yu, Donglian Qi, Wanli Ouyang

When adapted to a specific task, UniHCP achieves new SOTAs on a wide range of human-centric tasks, e. g., 69. 8 mIoU on CIHP for human parsing, 86. 18 mA on PA-100K for attribute prediction, 90. 3 mAP on Market1501 for ReID, and 85. 8 JI on CrowdHuman for pedestrian detection, performing better than specialized models tailored for each task.

2D Pose Estimation Attribute +8

Saliency Guided Contrastive Learning on Scene Images

no code implementations22 Feb 2023 Meilin Chen, Yizhou Wang, Shixiang Tang, Feng Zhu, Haiyang Yang, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang

Despite being feasible, recent works largely overlooked discovering the most discriminative regions for contrastive learning to object representations in scene images.

Contrastive Learning Linear evaluation +2

Unsupervised Prompt Tuning for Text-Driven Object Detection

no code implementations ICCV 2023 Weizhen He, WeiJie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang

In this paper, we delve into this problem and propose an Unsupervised Prompt Tuning framework for text-driven object detection, which is composed of two novel mean teaching mechanisms.

Data Augmentation Object +4

Learning Domain Adaptive Object Detection with Probabilistic Teacher

2 code implementations13 Jun 2022 Meilin Chen, WeiJie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, ShiLiang Pu

In addition, we conduct anchor adaptation in parallel with localization adaptation, since anchor can be regarded as a learnable parameter.

Object object-detection +1

FocalClick: Towards Practical Interactive Image Segmentation

1 code implementation CVPR 2022 Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao

To make the model work with preexisting masks, we formulate a sub-task termed Interactive Mask Correction, and propose Progressive Merge as the solution.

Ranked #2 on Interactive Segmentation on DAVIS (using extra training data)

Image Segmentation Interactive Segmentation +2

State-Aware Tracker for Real-Time Video Object Segmentation

1 code implementation CVPR 2020 Xi Chen, Zuoxin Li, Ye Yuan, Gang Yu, Jianxin Shen, Donglian Qi

For higher efficiency, SAT takes advantage of the inter-frame consistency and deals with each target object as a tracklet.

Segmentation Semantic Segmentation +2

Boundary-Aware Network for Fast and High-Accuracy Portrait Segmentation

2 code implementations12 Jan 2019 Xi Chen, Donglian Qi, Jianxin Shen

Compared with other semantic segmentation tasks, portrait segmentation requires both higher precision and faster inference speed.

Portrait Segmentation Segmentation +2

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