592 citations · 3.2k across the 82 of their papers we have counts for
4 papers · 1 filter
Hierarchical LSTMs with Adaptive Attention for Visual Captioning
Jingkuan Song, Xiangpeng Li, Lianli Gao +1
Recent progress has been made in using attention based encoder-decoder framework for image and video captioning. Most existing decoders apply the attention mechanism to every gener…
NAIS: Neural Attentive Item Similarity Model for Recommendation
Xiangnan He, Zhankui He, Jingkuan Song +3
Item-to-item collaborative filtering (aka. item-based CF) has been long used for building recommender systems in industrial settings, owing to its interpretability and efficiency i…
Cross-Paced Representation Learning with Partial Curricula for Sketch-based Image Retrieval
Dan Xu, Xavier Alameda-Pineda, Jingkuan Song +2
In this paper we address the problem of learning robust cross-domain representations for sketch-based image retrieval (SBIR). While most SBIR approaches focus on extracting low- an…
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder
Jingkuan Song, Hanwang Zhang, Xiangpeng Li +3
Existing video hash functions are built on three isolated stages: frame pooling, relaxed learning, and binarization, which have not adequately explored the temporal order of video…