Li-Jia Li

According to our database, Li-Jia Li authored at least 65 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.

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

npj Digit. Medicine, 2024

Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools.

Jung In Park, Mahyar Abbasian, Iman Azimi, Dawn Bounds, Angela Jun, Jaesu Han, Robert McCarron, Jessica Borelli, Jia Li, Mona Mahmoudi, Carmen Wiedenhoeft, Amir Rahmani

CoRR, 2024

2023

USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging.

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

Medical Image Anal., December, 2023

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI.

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

CoRR, 2023

2022

Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists.

Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg

CoRR, 2022

Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations.

Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit

CoRR, 2022

ALBench: A Framework for Evaluating Active Learning in Object Detection.

Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang

CoRR, 2022

2021

YMIR: A Rapid Data-centric Development Platform for Vision Applications.

Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang

CoRR, 2021

2019

Focal Visual-Text Attention for Memex Question Answering.

Junwei Liang, Lu Jiang, Liangliang Cao, Yannis Kalantidis, Li-Jia Li, Alexander G. Hauptmann

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Feature Partitioning for Efficient Multi-Task Architectures.

Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng

CoRR, 2019

Eidetic 3D LSTM: A Model for Video Prediction and Beyond.

Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei

Proceedings of the 7th International Conference on Learning Representations, 2019

Generative Modeling for Small-Data Object Detection.

Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection.

Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Composing Text and Image for Image Retrieval - an Empirical Odyssey.

Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Thoracic Disease Identification and Localization with Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Vision-Based Gait Analysis for Senior Care.

David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei

CoRR, 2018

Attention-based Graph Neural Network for Semi-supervised Learning.

Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li

CoRR, 2018

Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?

Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei

Proceedings of the 35th International Conference on Machine Learning, 2018

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels.

Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

Proceedings of the 35th International Conference on Machine Learning, 2018

Progressive Neural Architecture Search.

Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy

Proceedings of the Computer Vision - ECCV 2018, 2018

AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han

Proceedings of the Computer Vision - ECCV 2018, 2018

Focal Visual-Text Attention for Visual Question Answering.

Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Thoracic Disease Identification and Localization With Limited Supervision.

Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Iterative Visual Reasoning Beyond Convolutions.

Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations.

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

Int. J. Comput. Vis., 2017

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels.

Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei

CoRR, 2017

Progressive Neural Architecture Search.

Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy

CoRR, 2017

Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs.

Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Attention Based CLDNNs for Short-Duration Acoustic Scene Classification.

Jinxi Guo, Ning Xu, Li-Jia Li, Abeer Alwan

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Learning from Noisy Labels with Distillation.

Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li

Proceedings of the IEEE International Conference on Computer Vision, 2017

Dense Captioning with Joint Inference and Visual Context.

Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Reinforcement Learning-Based Image Captioning with Embedding Reward.

Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos.

Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2016

YFCC100M: the new data in multimedia research.

Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li

Commun. ACM, 2016

Finding Weather Photos: Community-Supervised Methods for Editorial Curation of Online Sources.

David A. Shamma, Lyndon Kennedy, Li-Jia Li, Bart Thomee, Haojian Jin, Jeff Yuan

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, 2016

Boosted Convolutional Neural Networks.

Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li

Proceedings of the British Machine Vision Conference 2016, 2016

2015

CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images.

Li-Jia Li, David A. Shamma, Xiangnan Kong, Sina Jafarpour, Roelof van Zwol, Xuanhui Wang

ACM Trans. Multim. Comput. Commun. Appl., 2015

The New Data and New Challenges in Multimedia Research.

Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li

CoRR, 2015

Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research.

Shih-Fu Chang, Matthew Cooper, Denver Dash, Funda Kivran-Swaine, Jia Li, David A. Shamma

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Multi-view Face Detection Using Deep Convolutional Neural Networks.

Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Best of both worlds: Human-machine collaboration for object annotation.

Olga Russakovsky, Li-Jia Li, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Image retrieval using scene graphs.

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Int. J. Comput. Vis., 2014

Visual Sentiment Prediction with Deep Convolutional Neural Networks.

Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li

CoRR, 2014

Learning mid-level features from object hierarchy for image classification.

Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments.

Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Visual Recognition by Exploiting Latent Social Links in Image Collections.

Li-Jia Li, Xiangnan Kong, Philip S. Yu

Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Learning Features and Parts for Fine-Grained Recognition.

Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

On visual similarity based interactive product recommendation for online shopping.

Jen-Hao Hsiao, Li-Jia Li

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Co-localization in Real-World Images.

Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos.

Yannis Kalantidis, Lyndon Kennedy, Li-Jia Li

Proceedings of the International Conference on Multimedia Retrieval, 2013

2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation.

Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Computer Vision, 2012

Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries.

Sina Jafarpour, Li-Jia Li, Roelof van Zwol

Proceedings of the Computer Vision, 2012

2011

Semantic image understanding: from the web, in large scale, with real-world challenging data.

Li-Jia Li

PhD thesis, 2011

2010

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization.

Li Fei-Fei, Li-Jia Li

Proceedings of the Computer Vision: Detection, Recognition and Reconstruction, 2010

OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning.

Li-Jia Li, Li Fei-Fei

Int. J. Comput. Vis., 2010

Large Margin Learning of Upstream Scene Understanding Models.

Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.

Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Objects as Attributes for Scene Classification.

Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei

Proceedings of the Trends and Topics in Computer Vision, 2010

Building and using a semantivisual image hierarchy.

Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework.

Li-Jia Li, Richard Socher, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

ImageNet: A large-scale hierarchical image database.

Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

What, where and who? Classifying events by scene and object recognition.

Li-Jia Li, Li Fei-Fei

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning.

Li-Jia Li, Gang Wang, Li Fei-Fei

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning.

Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007