Search Results for author: Chen-Wei Xie

Found 7 papers, 2 papers with code

MomentDiff: Generative Video Moment Retrieval from Random to Real

1 code implementation6 Jul 2023 Pandeng Li, Chen-Wei Xie, Hongtao Xie, Liming Zhao, Lei Zhang, Yun Zheng, Deli Zhao, Yongdong Zhang

Video moment retrieval pursues an efficient and generalized solution to identify the specific temporal segments within an untrimmed video that correspond to a given language description.

Moment Retrieval Retrieval

RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training

no code implementations CVPR 2023 Chen-Wei Xie, Siyang Sun, Xiong Xiong, Yun Zheng, Deli Zhao, Jingren Zhou

This process can be considered as an open-book exam: with the reference set as a cheat sheet, the proposed method doesn't need to memorize all visual concepts in the training data.

Classification Image Classification +5

Vortex Pooling: Improving Context Representation in Semantic Segmentation

no code implementations17 Apr 2018 Chen-Wei Xie, Hong-Yu Zhou, Jianxin Wu

To be specific, our approach outperforms the previous state-of-the-art model named DeepLab v3 by 1. 5% on the PASCAL VOC 2012 val set and 0. 6% on the test set by replacing the Atrous Spatial Pyramid Pooling (ASPP) module in DeepLab v3 with the proposed Vortex Pooling.

Semantic Segmentation

Deep Descriptor Transforming for Image Co-Localization

no code implementations8 May 2017 Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

Reusable model design becomes desirable with the rapid expansion of machine learning applications.

Deep Label Distribution Learning with Label Ambiguity

2 code implementations6 Nov 2016 Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng

However, it is difficult to collect sufficient training images with precise labels in some domains such as apparent age estimation, head pose estimation, multi-label classification and semantic segmentation.

Age Estimation Classification +4

Dense CNN Learning with Equivalent Mappings

no code implementations24 May 2016 Jianxin Wu, Chen-Wei Xie, Jian-Hao Luo

Large receptive field and dense prediction are both important for achieving high accuracy in pixel labeling tasks such as semantic segmentation.

Age Estimation Image Categorization +2

Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition

no code implementations23 May 2016 Xiu-Shen Wei, Chen-Wei Xie, Jianxin Wu

Fine-grained image recognition is a challenging computer vision problem, due to the small inter-class variations caused by highly similar subordinate categories, and the large intra-class variations in poses, scales and rotations.

Fine-Grained Image Recognition

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