109 citations · 280 across the 28 of their papers we have counts for
6 papers · 1 filter
Adaptive Affinity Matrix for Unsupervised Metric Learning
Yaoyi Li, Junxuan Chen, Hongtao Lu
Spectral clustering is one of the most popular clustering approaches with the capability to handle some challenging clustering problems. Most spectral clustering methods provide a…
Fast Non-local Stereo Matching based on Hierarchical Disparity Prediction
Xuan Luo, Xuejiao Bai, Shuo Li +2
Stereo matching is the key step in estimating depth from two or more images. Recently, some tree-based non-local stereo matching methods have been proposed, which achieved state-of…
Accelerated Distance Computation with Encoding Tree for High Dimensional Data
Shicong Liu, Junru Shao, Hongtao Lu
We propose a novel distance to calculate distance between high dimensional vector pairs, utilizing vector quantization generated encodings. Vector quantization based methods are su…
Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search
Shicong Liu, Hongtao Lu, Junru Shao
Quantization methods have been introduced to perform large scale approximate nearest search tasks. Residual Vector Quantization (RVQ) is one of the effective quantization methods.…
HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search
Shicong Liu, Junru Shao, Hongtao Lu
Vector quantization-based approaches are successful to solve Approximate Nearest Neighbor (ANN) problems which are critical to many applications. The idea is to generate effective…
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing
Shicong Liu, Hongtao Lu
We introduce a novel dictionary optimization method for high-dimensional vector quantization employed in approximate nearest neighbor (ANN) search. Vector quantization methods firs…