Li-Jia Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 47

Top Topics

Image Retrieval

Scene Classification

Question Answering

Top Venues

Int. J. Comput. Vis.

Publications

Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 7 (1) (2024)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR (2023)
Sophie Ostmeier, Brian Axelrod, Fabian Isensee, Jeroen Bertels, Michael Mlynash, Soren Christensen, Maarten G. Lansberg, Gregory W. Albers, Rajen Sheth, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Li-Jia Li, Greg Zaharchuk, Jeremy J. Heit
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 90 (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2021)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. CoRR (2019)
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) (2019)
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng
Feature Partitioning for Efficient Multi-Task Architectures. CoRR (2019)
Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. ICCV (2019)
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)
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)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. ICCV (2019)
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)
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)
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
Focal Visual-Text Attention for Visual Question Answering. CVPR (2018)
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)
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 (2018)
Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta
Iterative Visual Reasoning Beyond Convolutions. CoRR (2018)
Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta
Iterative Visual Reasoning Beyond Convolutions. CVPR (2018)
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
Focal Visual-Text Attention for Visual Question Answering. CoRR (2018)
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)
Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. CoRR (2018)
Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
Attention-based Graph Neural Network for Semi-supervised Learning. CoRR (2018)
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 (2018)
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)
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 (2017)
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) (2017)
Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. CVPR (2017)
Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
Deep Reinforcement Learning-based Image Captioning with Embedding Reward. CoRR (2017)
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 (2017)
Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li
Learning from Noisy Labels with Distillation. ICCV (2017)
Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei
MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR (2017)
Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
Dense Captioning with Joint Inference and Visual Context. CVPR (2017)
Jinxi Guo, Ning Xu, Li-Jia Li, Abeer Alwan
Attention Based CLDNNs for Short-Duration Acoustic Scene Classification. INTERSPEECH (2017)
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)
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 (2016)
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) (2016)
Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li
Boosted Convolutional Neural Networks. BMVC (2016)
Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
Dense Captioning with Joint Inference and Visual Context. CoRR (2016)
Olga Russakovsky, Li-Jia Li, Li Fei-Fei
Best of both worlds: Human-machine collaboration for object annotation. CVPR (2015)
Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li
Multi-view Face Detection Using Deep Convolutional Neural Networks. ICMR (2015)
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) (2015)
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 (2015)
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)
Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li
Multi-view Face Detection Using Deep Convolutional Neural Networks. CoRR (2015)
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 (2014)
Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li
Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR (2014)
Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li
Learning mid-level features from object hierarchy for image classification. WACV (2014)
Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei
Co-localization in Real-World Images. CVPR (2014)
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) (2014)
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)
Jen-Hao Hsiao, Li-Jia Li
On visual similarity based interactive product recommendation for online shopping. ICIP (2014)
Li-Jia Li, Xiangnan Kong, Philip S. Yu
Visual Recognition by Exploiting Latent Social Links in Image Collections. MMM (1) (2014)
Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
Learning Features and Parts for Fine-Grained Recognition. ICPR (2014)
Yannis Kalantidis, Lyndon Kennedy, Li-Jia Li
Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. ICMR (2013)
Sina Jafarpour, Li-Jia Li, Roelof van Zwol
Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries. ACCV (2) (2012)
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)
Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei
Objects as Attributes for Scene Classification. ECCV Workshops (1) (2010)
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)
Li-Jia Li, Li Fei-Fei
OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. Int. J. Comput. Vis. 88 (2) (2010)
Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei
Building and using a semantivisual image hierarchy. CVPR (2010)
Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing
Large Margin Learning of Upstream Scene Understanding Models. NIPS (2010)
Li-Jia Li, Richard Socher, Li Fei-Fei
Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR (2009)
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
ImageNet: A large-scale hierarchical image database. CVPR (2009)
Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei
OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. AAAI (2007)
Li-Jia Li, Li Fei-Fei
What, where and who? Classifying events by scene and object recognition. ICCV (2007)
Li-Jia Li, Gang Wang, Li Fei-Fei
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. CVPR (2007)