592 citations · 3.2k across the 82 of their papers we have counts for
7 papers · 1 filter
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin, Ruihao Gong, Xianglong Liu +4
Weight and activation binarization is an effective approach to deep neural network compression and can accelerate the inference by leveraging bitwise operations. Although many bina…
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
Tan Wang, Xing Xu, Yang Yang +3
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on…
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
Tao He, Yuan-Fang Li, Lianli Gao +2
With the recent explosive increase of digital data, image recognition and retrieval become a critical practical application. Hashing is an effective solution to this problem, due t…
Localizing Unseen Activities in Video via Image Query
Zhu Zhang, Zhou Zhao, Zhijie Lin +2
Action localization in untrimmed videos is an important topic in the field of video understanding. However, existing action localization methods are restricted to a pre-defined set…
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Zhu Zhang, Zhou Zhao, Zhijie Lin +2
Open-ended video question answering aims to automatically generate the natural-language answer from referenced video contents according to the given question. Currently, most exist…
Deep Recurrent Quantization for Generating Sequential Binary Codes
Jingkuan Song, Xiaosu Zhu, Lianli Gao +3
Quantization has been an effective technology in ANN (approximate nearest neighbour) search due to its high accuracy and fast search speed. To meet the requirement of different app…
Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Lianli Gao, Xiaosu Zhu, Jingkuan Song +2
Product Quantization (PQ) has long been a mainstream for generating an exponentially large codebook at very low memory/time cost. Despite its success, PQ is still tricky for the de…