Search Results for author: Qingqiu Huang

Found 19 papers, 8 papers with code

CLIP$^2$: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data

no code implementations22 Mar 2023 Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled text-image pairs, has demonstrated great performance in open-world vision understanding tasks.

Zero-shot 3D Point Cloud Classification

CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data

no code implementations CVPR 2023 Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled text-image pairs, has demonstrated great performance in open-world vision understanding tasks.

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

1 code implementation CVPR 2022 Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai

The attention mechanism of the transformer enables our model to adaptively determine where and what information should be taken from the image, leading to a robust and effective fusion strategy.

3D Object Detection Autonomous Driving +2

Adversarial Robustness under Long-Tailed Distribution

1 code implementation CVPR 2021 Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin

We then perform a systematic study on existing long-tailed recognition methods in conjunction with the adversarial training framework.

Adversarial Robustness

Online Multi-modal Person Search in Videos

no code implementations ECCV 2020 Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin

The task of searching certain people in videos has seen increasing potential in real-world applications, such as video organization and editing.

Person Recognition Person Search

MovieNet: A Holistic Dataset for Movie Understanding

no code implementations ECCV 2020 Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin

We believe that such a holistic dataset would promote the researches on story-based long video understanding and beyond.

Video Understanding

Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets

1 code implementation ECCV 2020 Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin

We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.

Binary Classification General Classification +2

Learn to Propagate Reliably on Noisy Affinity Graphs

no code implementations ECCV 2020 Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin

Recent works have shown that exploiting unlabeled data through label propagation can substantially reduce the labeling cost, which has been a critical issue in developing visual recognition models.

Open-Ended Question Answering

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

4 code implementations CVPR 2020 Anyi Rao, Linning Xu, Yu Xiong, Guodong Xu, Qingqiu Huang, Bolei Zhou, Dahua Lin

Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.

Action Recognition Scene Segmentation +1

A Graph-Based Framework to Bridge Movies and Synopses

no code implementations ICCV 2019 Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin

On top of this dataset, we develop a framework to perform matching between movie segments and synopsis paragraphs.

Find and Focus: Retrieve and Localize Video Events with Natural Language Queries

no code implementations ECCV 2018 Dian Shao, Yu Xiong, Yue Zhao, Qingqiu Huang, Yu Qiao, Dahua Lin

The thriving of video sharing services brings new challenges to video retrieval, e. g. the rapid growth in video duration and content diversity.

Natural Language Queries Retrieval +2

Person Search in Videos with One Portrait Through Visual and Temporal Links

2 code implementations ECCV 2018 Qingqiu Huang, Wentao Liu, Dahua Lin

In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.

Person Re-Identification Person Search +2

From Trailers to Storylines: An Efficient Way to Learn from Movies

1 code implementation14 Jun 2018 Qingqiu Huang, Yuanjun Xiong, Yu Xiong, Yuqi Zhang, Dahua Lin

Experiments on this dataset showed that the proposed method can substantially reduce the training time while obtaining highly effective features and coherent temporal structures.

Unifying Identification and Context Learning for Person Recognition

1 code implementation CVPR 2018 Qingqiu Huang, Yu Xiong, Dahua Lin

In this work, we aim to move beyond such limitations and propose a new framework to leverage context for person recognition.

Face Recognition Person Recognition

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