


Остановите войну!
for scientists:


default search action
Li-Jia Li
Person information

Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [i22]Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang:
ALBench: A Framework for Evaluating Active Learning in Object Detection. CoRR abs/2207.13339 (2022) - [i21]Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit:
Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR abs/2209.13008 (2022) - [i20]Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg:
Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR abs/2211.15341 (2022) - 2021
- [i19]Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang:
YMIR: A Rapid Data-centric Development Platform for Vision Applications. CoRR abs/2111.10046 (2021)
2010 – 2019
- 2019
- [j6]Junwei Liang
, Lu Jiang
, Liangliang Cao, Yannis Kalantidis, Li-Jia Li
, Alexander G. Hauptmann:
Focal Visual-Text Attention for Memex Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1893-1908 (2019) - [c38]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li
, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR 2019: 6439-6448 - [c37]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
:
Generative Modeling for Small-Data Object Detection. ICCV 2019: 6072-6080 - [c36]Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li
, Ram Nevatia:
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. ICCV 2019: 9507-9516 - [c35]Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long
, Li Fei-Fei:
Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) 2019 - [p3]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li
, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 139-161 - [i18]Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng:
Feature Partitioning for Efficient Multi-Task Architectures. CoRR abs/1908.04339 (2019) - [i17]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. CoRR abs/1910.07169 (2019) - 2018
- [c34]Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li
, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CVPR 2018: 6135-6143 - [c33]Xinlei Chen, Li-Jia Li
, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CVPR 2018: 7239-7248 - [c32]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li
, Li Fei-Fei:
Thoracic Disease Identification and Localization With Limited Supervision. CVPR 2018: 8290-8299 - [c31]Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li
, Li Fei-Fei, Alan L. Yuille
, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. ECCV (1) 2018: 19-35 - [c30]Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li
, Song Han:
AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) 2018: 815-832 - [c29]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. ICML 2018: 2309-2318 - [c28]Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei:
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018: 5965-5974 - [i16]Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li:
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR abs/1803.03735 (2018) - [i15]Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta:
Iterative Visual Reasoning Beyond Convolutions. CoRR abs/1803.11189 (2018) - [i14]Junwei Liang
, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann:
Focal Visual-Text Attention for Visual Question Answering. CoRR abs/1806.01873 (2018) - [i13]Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia:
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. CoRR abs/1812.00124 (2018) - [i12]David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei:
Vision-Based Gait Analysis for Senior Care. CoRR abs/1812.00169 (2018) - [i11]Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays:
Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR abs/1812.07119 (2018) - 2017
- [j5]Ranjay Krishna
, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li
, David A. Shamma, Michael S. Bernstein
, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 123(1): 32-73 (2017) - [c27]Zhou Ren, Xiaoyu Wang
, Ning Zhang, Xutao Lv, Li-Jia Li
:
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. CVPR 2017: 1151-1159 - [c26]Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
:
Dense Captioning with Joint Inference and Visual Context. CVPR 2017: 1978-1987 - [c25]Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo
, Li-Jia Li
:
Learning from Noisy Labels with Distillation. ICCV 2017: 1928-1936 - [c24]Jinxi Guo, Ning Xu, Li-Jia Li
, Abeer Alwan:
Attention Based CLDNNs for Short-Duration Acoustic Scene Classification. INTERSPEECH 2017: 469-473 - [c23]Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie:
Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. WWW (Companion Volume) 2017: 564-573 - [i10]Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li:
Deep Reinforcement Learning-based Image Captioning with Embedding Reward. CoRR abs/1704.03899 (2017) - [i9]Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. CoRR abs/1711.06373 (2017) - [i8]Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy:
Progressive Neural Architecture Search. CoRR abs/1712.00559 (2017) - [i7]Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei:
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR abs/1712.05055 (2017) - 2016
- [j4]Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li:
YFCC100M: the new data in multimedia research. Commun. ACM 59(2): 64-73 (2016) - [c22]Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li:
Boosted Convolutional Neural Networks. BMVC 2016 - [p2]Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang:
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. Large-Scale Visual Geo-Localization 2016: 41-58 - [i6]Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR abs/1602.07332 (2016) - [i5]Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li:
Dense Captioning with Joint Inference and Visual Context. CoRR abs/1611.06949 (2016) - 2015
- [j3]Li-Jia Li
, David A. Shamma, Xiangnan Kong, Sina Jafarpour, Roelof van Zwol, Xuanhui Wang:
CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. ACM Trans. Multim. Comput. Commun. Appl. 12(1): 3:1-3:22 (2015) - [c21]Olga Russakovsky
, Li-Jia Li
, Li Fei-Fei:
Best of both worlds: Human-machine collaboration for object annotation. CVPR 2015: 2121-2131 - [c20]Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li
, David A. Shamma, Michael S. Bernstein, Li Fei-Fei:
Image retrieval using scene graphs. CVPR 2015: 3668-3678 - [c19]Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li
:
Multi-view Face Detection Using Deep Convolutional Neural Networks. ICMR 2015: 643-650 - [i4]Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li:
Multi-view Face Detection Using Deep Convolutional Neural Networks. CoRR abs/1502.02766 (2015) - [i3]Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li:
The New Data and New Challenges in Multimedia Research. CoRR abs/1503.01817 (2015) - 2014
- [j2]Li-Jia Li
, Hao Su, Yongwhan Lim, Li Fei-Fei:
Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. Int. J. Comput. Vis. 107(1): 20-39 (2014) - [c18]Kevin D. Tang, Armand Joulin, Li-Jia Li
, Li Fei-Fei:
Co-localization in Real-World Images. CVPR 2014: 1464-1471 - [c17]Jen-Hao Hsiao, Li-Jia Li
:
On visual similarity based interactive product recommendation for online shopping. ICIP 2014: 3038-3041 - [c16]Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li
, Li Fei-Fei:
Learning Features and Parts for Fine-Grained Recognition. ICPR 2014: 26-33 - [c15]Li-Jia Li
, Xiangnan Kong, Philip S. Yu:
Visual Recognition by Exploiting Latent Social Links in Image Collections. MMM (1) 2014: 121-132 - [c14]Xiangnan Kong, Zhaoming Wu, Li-Jia Li
, Ruofei Zhang
, Philip S. Yu, Hang Wu, Wei Fan:
Large-Scale Multi-Label Learning with Incomplete Label Assignments. SDM 2014: 920-928 - [c13]Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li
:
Learning mid-level features from object hierarchy for image classification. WACV 2014: 235-240 - [i2]Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan:
Large-Scale Multi-Label Learning with Incomplete Label Assignments. CoRR abs/1407.1538 (2014) - [i1]Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li:
Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR abs/1411.5731 (2014) - 2013
- [c12]Yannis Kalantidis, Lyndon Kennedy, Li-Jia Li
:
Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. ICMR 2013: 105-112 - 2012
- [c11]Li-Jia Li
, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei:
Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) 2012: 147-161 - [c10]Sina Jafarpour, Li-Jia Li
, Roelof van Zwol:
Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries. ACCV (2) 2012: 694-707 - 2011
- [b1]Li-Jia Li:
Semantic image understanding: from the web, in large scale, with real-world challenging data. Stanford University, USA, 2011 - 2010
- [j1]Li-Jia Li
, Li Fei-Fei:
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. Int. J. Comput. Vis. 88(2): 147-168 (2010) - [c9]Li-Jia Li
, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei:
Building and using a semantivisual image hierarchy. CVPR 2010: 3336-3343 - [c8]Li-Jia Li
, Hao Su, Yongwhan Lim, Li Fei-Fei:
Objects as Attributes for Scene Classification. ECCV Workshops (1) 2010: 57-69 - [c7]Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei:
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS 2010: 1378-1386 - [c6]Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing:
Large Margin Learning of Upstream Scene Understanding Models. NIPS 2010: 2586-2594 - [p1]Li Fei-Fei, Li-Jia Li
:
What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Computer Vision: Detection, Recognition and Reconstruction 2010: 157-171
2000 – 2009
- 2009
- [c5]Jia Deng, Wei Dong
, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei:
ImageNet: A large-scale hierarchical image database. CVPR 2009: 248-255 - [c4]Li-Jia Li
, Richard Socher, Li Fei-Fei:
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR 2009: 2036-2043 - 2007
- [c3]Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei:
OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. AAAI 2007: 1987-1988 - [c2]Li-Jia Li
, Gang Wang, Li Fei-Fei:
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. CVPR 2007 - [c1]Li-Jia Li
, Li Fei-Fei:
What, where and who? Classifying events by scene and object recognition. ICCV 2007: 1-8
Coauthor Index

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-09-08 13:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint