Search Results - "Li, Fei"
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1
Deep Visual-Semantic Alignments for Generating Image Descriptions
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2017)“…We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence…”
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2
Illuminating the dark spaces of healthcare with ambient intelligence
Published in Nature (London) (10-09-2020)“…Advances in machine learning and contactless sensors have given rise to ambient intelligence—physical spaces that are sensitive and responsive to the presence…”
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Journal Article -
3
Image Generation from Scene Graphs
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…To truly understand the visual world our models should be able not only to recognize images but also generate them. To this end, there has been exciting recent…”
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Conference Proceeding -
4
One-shot learning of object categories
Published in IEEE transactions on pattern analysis and machine intelligence (01-04-2006)“…Learning visual models of object categories notoriously requires hundreds or thousands of training examples. We show that it is possible to learn much…”
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5
Deep visual-semantic alignments for generating image descriptions
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…We present a model that generates natural language descriptions of images and their regions. Our approach leverages datasets of images and their sentence…”
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Conference Proceeding -
6
Embodied intelligence via learning and evolution
Published in Nature communications (06-10-2021)“…The intertwined processes of learning and evolution in complex environmental niches have resulted in a remarkable diversity of morphological forms. Moreover,…”
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7
Nanoscale Trimetallic Metal–Organic Frameworks Enable Efficient Oxygen Evolution Electrocatalysis
Published in Angewandte Chemie International Edition (12-02-2018)“…Metal–organic frameworks (MOFs) are a class of promising materials for diverse heterogeneous catalysis, but they are usually not directly employed for oxygen…”
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8
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01-06-2018)“…Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate…”
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Conference Proceeding -
9
EDTA-enhanced phytoremediation of heavy metals from sludge soil by Italian ryegrass (Lolium perenne L.)
Published in Ecotoxicology and environmental safety (15-03-2020)“…Landscaping of sludge is a kind of recycling disposal, but the potential heavy metal risks limit its application. In this paper, the sludge soil was remediated…”
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10
Large-Scale Video Classification with Convolutional Neural Networks
Published in 2014 IEEE Conference on Computer Vision and Pattern Recognition (01-06-2014)“…Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems. Encouraged by these results, we…”
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Conference Proceeding -
11
Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
Published in IEEE transactions on pattern analysis and machine intelligence (01-09-2012)“…Detecting objects in cluttered scenes and estimating articulated human body parts from 2D images are two challenging problems in computer vision. The…”
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Journal Article Conference Proceeding -
12
Dense-Captioning Events in Videos
Published in 2017 IEEE International Conference on Computer Vision (ICCV) (01-10-2017)“…Most natural videos contain numerous events. For example, in a video of a "man playing a piano", the video might also contain "another man dancing" or "a crowd…”
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Conference Proceeding -
13
Large‐Scale, Bottom‐Up Synthesis of Binary Metal–Organic Framework Nanosheets for Efficient Water Oxidation
Published in Angewandte Chemie International Edition (20-05-2019)“…Ultrathin metal–organic framework (MOF) nanosheets (NSs) offer potential for many applications, but the synthetic strategies are largely limited to top‐down,…”
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14
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2019)“…A key technical challenge in performing 6D object pose estimation from RGB-D image is to fully leverage the two complementary data sources. Prior works either…”
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Conference Proceeding -
15
Visual7W: Grounded Question Answering in Images
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…We have seen great progress in basic perceptual tasks such as object recognition and detection. However, AI models still fail to match humans in high-level…”
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Conference Proceeding -
16
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…We introduce the dense captioning task, which requires a computer vision system to both localize and describe salient regions in images in natural language…”
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Conference Proceeding -
17
End-to-End Learning of Action Detection from Frame Glimpses in Videos
Published in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2016)“…In this work we introduce a fully end-to-end approach for action detection in videos that learns to directly predict the temporal bounds of actions. Our…”
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Conference Proceeding -
18
Socially situated artificial intelligence enables learning from human interaction
Published in Proceedings of the National Academy of Sciences - PNAS (27-09-2022)“…Regardless of how much data artificial intelligence agents have available, agents will inevitably encounter previously unseen situations in real-world…”
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19
Fine-grained recognition without part annotations
Published in 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2015)“…Scaling up fine-grained recognition to all domains of fine-grained objects is a challenge the computer vision community will need to face in order to realize…”
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Conference Proceeding -
20
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2022)“…Federated learning is an emerging research paradigm enabling collaborative training of machine learning models among different organizations while keeping data…”
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Conference Proceeding Journal Article