471 citations · 3.1k across the 59 of their papers we have counts for
5 papers · 1 filter
Visual Reranking with Improved Image Graph
Ziqiong Liu, Shengjin Wang, Liang Zheng +1
This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search. Built on [1], a directed image graph robust to outlier distraction is proposed. In…
Seeing the Big Picture: Deep Embedding with Contextual Evidences
Liang Zheng, Shengjin Wang, Fei He +1
In the Bag-of-Words (BoW) model based image retrieval task, the precision of visual matching plays a critical role in improving retrieval performance. Conventionally, local cues of…
Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval
Liang Zheng, Shengjin Wang, Wengang Zhou +1
The Bag-of-Words (BoW) representation is well applied to recent state-of-the-art image retrieval works. Typically, multiple vocabularies are generated to correct quantization artif…
Cross-Scale Cost Aggregation for Stereo Matching
Kang Zhang, Yuqiang Fang, Dongbo Min +3
Human beings process stereoscopic correspondence across multiple scales. However, this bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo corr…
Packing and Padding: Coupled Multi-index for Accurate Image Retrieval
Liang Zheng, Shengjin Wang, Ziqiong Liu +1
In Bag-of-Words (BoW) based image retrieval, the SIFT visual word has a low discriminative power, so false positive matches occur prevalently. Apart from the information loss durin…