39 citations · 53 across the 4 of their papers we have counts for
6 papers
Video Similarity and Alignment Learning on Partial Video Copy Detection
Zhen Han, Xiangteng He, Mingqian Tang +1
Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, s…
HANet: Hierarchical Alignment Networks for Video-Text Retrieval
Peng Wu, Xiangteng He, Mingqian Tang +2
Video-text retrieval is an important yet challenging task in vision-language understanding, which aims to learn a joint embedding space where related video and text instances are c…
Self-supervised Video Retrieval Transformer Network
Xiangteng He, Yulin Pan, Mingqian Tang +1
Content-based video retrieval aims to find videos from a large video database that are similar to or even near-duplicate of a given query video. Video representation and similarity…
A New Benchmark and Approach for Fine-grained Cross-media Retrieval
Xiangteng He, Yuxin Peng, Liu Xie
Cross-media retrieval is to return the results of various media types corresponding to the query of any media type. Existing researches generally focus on coarse-grained cross-medi…
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN
Xiangteng He, Yuxin Peng, Junjie Zhao
Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflec…
Fine-graind Image Classification via Combining Vision and Language
Xiangteng He, Yuxin Peng
Fine-grained image classification is a challenging task due to the large intra-class variance and small inter-class variance, aiming at recognizing hundreds of sub-categories belon…