244 citations · 1.5k across the 71 of their papers we have counts for
6 papers · 2 filters
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search
Deng Cai
Approximate Nearest Neighbor Search (ANNS) is a fundamental problem in many areas of machine learning and data mining. During the past decade, numerous hashing algorithms are propo…
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…
EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph
Cong Fu, Deng Cai
Approximate nearest neighbor (ANN) search is a fundamental problem in many areas of data mining, machine learning and computer vision. The performance of traditional hierarchical s…
Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization
Hongyang Xue, Shengming Zhang, Deng Cai
We consider the case of inpainting single depth images. Without corresponding color images, previous or next frames, depth image inpainting is quite challenging. One natural soluti…
Deep Feature Based Contextual Model for Object Detection
Wenqing Chu, Deng Cai
Object detection is one of the most active areas in computer vision, which has made significant improvement in recent years. Current state-of-the-art object detection methods mostl…
Stereo Matching by Joint Energy Minimization
Hongyang Xue, Deng Cai
In [18], Mozerov et al. propose to perform stereo matching as a two-step energy minimization problem. For the first step they solve a fully connected MRF model. And in the next ste…