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20022026
most citedThe automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

7.9k citations

Showing 2017 · cs.CVShow all

9 papers · 2 filters

cs.CV201715 cited

Unsupervised Generative Adversarial Cross-modal Hashing

Jian Zhang, Yuxin Peng, Mingkuan Yuan

Cross-modal hashing aims to map heterogeneous multimedia data into a common Hamming space, which can realize fast and flexible retrieval across different modalities. Unsupervised c…

cs.CV201768 cited

Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices

Zongqing Lu, Swati Rallapalli, Kevin Chan +1

Convolutional Neural Networks (CNNs) have revolutionized the research in computer vision, due to their ability to capture complex patterns, resulting in high inference accuracies.…

cs.CV201739 cited

Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN

Xiangteng He, Yuxin Peng, Junjie Zhao

Discriminative localization is essential for fine-grained image classification task, which devotes to recognizing hundreds of subcategories in the same basic-level category. Reflec…

cs.CV2017425 cited

GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

Longhui Wei, Shiliang Zhang, Hantao Yao +2

The huge variance of human pose and the misalignment of detected human images significantly increase the difficulty of person Re-Identification (Re-ID). Moreover, efficient Re-ID s…

cs.CV20173 cited

Modality-specific Cross-modal Similarity Measurement with Recurrent Attention Network

Yuxin Peng, Jinwei Qi, Yuxin Yuan

Nowadays, cross-modal retrieval plays an indispensable role to flexibly find information across different modalities of data. Effectively measuring the similarity between different…

cs.CV20171 cited

One-Shot Fine-Grained Instance Retrieval

Hantao Yao, Shiliang Zhang, Yongdong Zhang +2

Fine-Grained Visual Categorization (FGVC) has achieved significant progress recently. However, the number of fine-grained species could be huge and dynamically increasing in real s…