401 citations · 850 across the 15 of their papers we have counts for
15 papers
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation
Hulingxiao He, Xiangteng He, Yuxin Peng +2
Recommendation models utilizing unique identities (IDs) to represent distinct users and items have dominated the recommender systems literature for over a decade. Since multi-modal…
Towards Video Anomaly Retrieval from Video Anomaly Detection: New Benchmarks and Model
Peng Wu, Jing Liu, Xiangteng He +3
Video anomaly detection (VAD) has been paid increasing attention due to its potential applications, its current dominant tasks focus on online detecting anomalies% at the frame lev…
PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
HsiaoYuan Hsu, Xiangteng He, Yuxin Peng +2
Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to…
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Yulin Pan, Xiangteng He, Biao Gong +4
Video temporal grounding aims to pinpoint a video segment that matches the query description. Despite the recent advance in short-form videos (\textit{e.g.}, in minutes), temporal…
Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation
Yulin Pan, Xiangteng He, Biao Gong +2
Existing audio analysis methods generally first transform the audio stream to spectrogram, and then feed it into CNN for further analysis. A standard CNN recognizes specific visual…
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
Hongbo Sun, Xiangteng He, Yuxin Peng
Fine-grained visual categorization (FGVC) aims at recognizing objects from similar subordinate categories, which is challenging and practical for human's accurate automatic recogni…
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…
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization
Xiangteng He, Yuxin Peng, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories in each basic-level category. Existing methods employ discriminative localization to find the key distin…
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-grained Visual-textual Representation Learning
Xiangteng He, Yuxin Peng
Fine-grained visual categorization is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle…
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…
Object-Part Attention Model for Fine-grained Image Classification
Yuxin Peng, Xiangteng He, Junjie Zhao
Fine-grained image classification is to recognize hundreds of subcategories belonging to the same basic-level category, such as 200 subcategories belonging to the bird, which is hi…