Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiquan Ngiam"'
Autor:
Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fa8f2c17bd1d388b0cf1d852f09249
https://doi.org/10.1109/cvpr52688.2022.01667
https://doi.org/10.1109/cvpr52688.2022.01667
Publikováno v:
CVPR
3D object detection is an important module in autonomous driving and robotics. However, many existing methods focus on using single frames to perform 3D detection, and do not fully utilize information from multiple frames. In this paper, we present 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d3a11c4b33e8c832cd166e7412c4409
https://doi.org/10.1109/cvpr46437.2021.00190
https://doi.org/10.1109/cvpr46437.2021.00190
Autor:
Benjamin Caine, Xiao Zhang, Vijay K. Vasudevan, Pei Sun, Yuning Chai, Dragomir Anguelov, Jiquan Ngiam, Weiyue Wang
Publikováno v:
CVPR
3D object detection is vital for many robotics applications. For tasks where a 2D perspective range image exists, we propose to learn a 3D representation directly from this range image view. To this end, we designed a 2D convolutional network archite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0db6f85a4bc31549d05197ecdd5a585
Autor:
Wei Han, Yuning Chai, Yin Zhou, Vijaysai Patnaik, Pei Sun, Henrik Kretzschmar, Aurelien Chouard, Xerxes Dotiwalla, Aditya Joshi, Maxim Krivokon, Benjamin Caine, Amy Gao, Paul Tsui, Vijay K. Vasudevan, Dragomir Anguelov, Zhifeng Chen, Aleksei Timofeev, Yu Zhang, Hang Zhao, Scott Ettinger, Jonathon Shlens, James Guo, Jiquan Ngiam
Publikováno v:
CVPR
The research community has increasing interest in autonomous driving research, despite the resource intensity of obtaining representative real world data. Existing self-driving datasets are limited in the scale and variation of the environments they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd0cf2d0666dae2a235855318fd92edb
https://doi.org/10.1109/cvpr42600.2020.00252
https://doi.org/10.1109/cvpr42600.2020.00252
Autor:
Zhengdong Zhang, Ouais Alsharif, Benjamin Caine, Brandon Yang, Zhifeng Chen, Jonathon Shlens, Christoph Sprunk, Vijay K. Vasudevan, Jiquan Ngiam, Wei Han
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585228
ECCV (18)
ECCV (18)
Autonomous vehicles operate in a dynamic environment, where the speed with which a vehicle can perceive and react impacts the safety and efficacy of the system. LiDAR provides a prominent sensory modality that informs many existing perceptual systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa3422eb4646307fb17b24a46cdd6126
https://doi.org/10.1007/978-3-030-58523-5_25
https://doi.org/10.1007/978-3-030-58523-5_25
Autor:
Ekin D. Cubuk, Zhaoqi Leng, Chunyan Bai, Jonathon Shlens, Jiquan Ngiam, Vijay K. Vasudevan, Dragomir Anguelov, Shuyang Cheng, Barret Zoph, Benjamin Caine, Congcong Li, Quoc V. Le, Yang Song
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585884
ECCV (21)
ECCV (21)
Data augmentation has been widely adopted for object detection in 3D point clouds. However, all previous related efforts have focused on manually designing specific data augmentation methods for individual architectures. In this work, we present the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6459d7bd81253675ef7311ee28bbdf0c
https://doi.org/10.1007/978-3-030-58589-1_17
https://doi.org/10.1007/978-3-030-58589-1_17
Publikováno v:
ACL
Most data selection research in machine translation focuses on improving a single domain. We perform data selection for multiple domains at once. This is achieved by carefully introducing instance-level domain-relevance features and automatically con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe436d1d2654cd91bbd54e80a7a7fb7e
Autor:
Jiquan Ngiam, Hanlin Goh
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642157509
CLEF (2)
CLEF (2)
This paper describes a method that learns a variety of features to perform photo annotation. We introduce concept-specific regional features and combine them with global features. The regional features were extracted through a novel region selection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294a080028acbb5f55f9ea2594ec55c2
https://doi.org/10.1007/978-3-642-15751-6_36
https://doi.org/10.1007/978-3-642-15751-6_36
This chapter proposes that experience can facilitate cognition, but that it also carries costs. It provides both empirical evidence to support these claims and a computational mechanism to show how these processes interact with other aspects of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e88a014cfa52a1d2faccd065ea9aec
Publisher Summary This chapter proposes that experience can facilitate cognition, but that it also carries costs. It provides both empirical evidence to support these claims and a computational mechanism to show how these processes interact with othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57b9c09b30da9a6d989cdd3225dfba67
https://doi.org/10.1016/s0079-7421(07)48007-0
https://doi.org/10.1016/s0079-7421(07)48007-0