80 citations · 81 across the 4 of their papers we have counts for
6 papers
Collaborative Quantization for Cross-Modal Similarity Search
Ting Zhang, Jingdong Wang
Cross-modal similarity search is a problem about designing a search system supporting querying across content modalities, e.g., using an image to search for texts or using a text t…
Supervised Quantization for Similarity Search
Xiaojuan Wang, Ting Zhang, Guo-Jun Q +2
In this paper, we address the problem of searching for semantically similar images from a large database. We present a compact coding approach, supervised quantization. Our approac…
IGCV: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie, Jingdong Wang, Ting Zhang +3
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In add…
Composite Quantization
Jingdong Wang, Ting Zhang
This paper studies the compact coding approach to approximate nearest neighbor search. We introduce a composite quantization framework. It uses the composition of several () ele…
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang, Guo-Jun Qi, Bin Xiao +1
In this paper, we present a simple and modularized neural network architecture, named interleaved group convolutional neural networks (IGCNets). The main point lies in a novel buil…
Deeply-Fused Nets
Jingdong Wang, Zhen Wei, Ting Zhang +1
In this paper, we present a novel deep learning approach, deeply-fused nets. The central idea of our approach is deep fusion, i.e., combine the intermediate representations of base…