activity
20122025
most citedERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

195 citations · 479 across the 26 of their papers we have counts for

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Showing 2019 · cs.CVShow all

7 papers · 2 filters

cs.CV2019★ 97 cited

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Qiming Zhang, Jing Zhang, Wei Liu +1

Unsupervised domain adaptation (UDA) aims to enhance the generalization capability of a certain model from a source domain to a target domain. UDA is of particular significance sin…

cs.CV2019★ 1 cited

Context-Gated Convolution

Xudong Lin, Lin Ma, Wei Liu +1

As the basic building block of Convolutional Neural Networks (CNNs), the convolutional layer is designed to extract local patterns and lacks the ability to model global context in…

cs.CV2019★ 7 cited

Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

Xiangbo Shu, Liyan Zhang, Guo-Jun Qi +2

Human motion prediction aims to generate future motions based on the observed human motions. Witnessing the success of Recurrent Neural Networks (RNN) in modeling the sequential da…

cs.CV2019★ 6 cited

Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning

Yipeng Sun, Jiaming Liu, Wei Liu +3

Most existing text reading benchmarks make it difficult to evaluate the performance of more advanced deep learning models in large vocabularies due to the limited amount of trainin…

cs.CV2019★ 7 cited

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

Yan Xu, Baoyuan Wu, Fumin Shen +4

In this work, we study the robustness of a CNN+RNN based image captioning system being subjected to adversarial noises. We propose to fool an image captioning system to generate so…

cs.CV2019★ 2 cited

Spatio-temporal Video Re-localization by Warp LSTM

Yang Feng, Lin Ma, Wei Liu +1

The need for efficiently finding the video content a user wants is increasing because of the erupting of user-generated videos on the Web. Existing keyword-based or content-based v…

cs.CV2019★ 23 cited

Image Deformation Meta-Networks for One-Shot Learning

Zitian Chen, Yanwei Fu, Yu-Xiong Wang +3

Humans can robustly learn novel visual concepts even when images undergo various deformations and lose certain information. Mimicking the same behavior and synthesizing deformed in…