Li-Jia Li - RankMe

74 papers A* 20A 5B 4Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 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
2023	J	`jnl`	Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR 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
2023	J	`jnl`	USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Anal. 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
2022	J	`jnl`	ALBench: A Framework for Evaluating Active Learning in Object Detection. CoRR Zhanpeng Feng, Shiliang Zhang, Rinyoichi Takezoe, Wenze Hu, Manmohan Chandraker, Li-Jia Li, Vijay K. Narayanan, Xiaoyu Wang
2022	J	`jnl`	Evaluation of Medical Image Segmentation Models for Uncertain, Small or Empty Reference Annotations. CoRR Sophie Ostmeier, Brian Axelrod, Jeroen Bertels, Fabian Isensee, Maarten G. Lansberg, Soren Christensen, Gregory W. Albers, Li-Jia Li, Jeremy J. Heit
2022	J	`jnl`	Non-inferiority of Deep Learning Model to Segment Acute Stroke on Non-contrast CT Compared to Neuroradiologists. CoRR Sophie Ostmeier, Jeremy J. Heit, Brian Axelrod, Li-Jia Li, Greg Zaharchuk, Benjamin F. J. Verhaaren, Abdelkader Mahammedi, Soren Christensen, Maarten G. Lansberg
2021	J	`jnl`	YMIR: A Rapid Data-centric Development Platform for Vision Applications. CoRR Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang
2019	A*	`conf`	Composing Text and Image for Image Retrieval - an Empirical Odyssey. CVPR Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
2019	—	`conf`	Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei
2019	J	`jnl`	Feature Partitioning for Efficient Multi-Task Architectures. CoRR Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng
2019	J	`jnl`	Focal Visual-Text Attention for Memex Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Junwei Liang, Lu Jiang, Liangliang Cao, Yannis Kalantidis, Li-Jia Li, Alexander G. Hauptmann
2019	A*	`conf`	Generative Modeling for Small-Data Object Detection. ICCV Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019	J	`jnl`	Generative Modeling for Small-Data Object Detection. CoRR Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
2019	A*	`conf`	NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. ICCV Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia
2019	—	`ch.`	Thoracic Disease Identification and Localization with Limited Supervision. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	—	`conf`	AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han
2018	J	`jnl`	Attention-based Graph Neural Network for Semi-supervised Learning. CoRR Kiran Koshy Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li
2018	J	`jnl`	Composing Text and Image for Image Retrieval - An Empirical Odyssey. CoRR Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, James Hays
2018	A*	`conf`	Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Yinyu Ye, Li-Jia Li, Li Fei-Fei
2018	A*	`conf`	Focal Visual-Text Attention for Visual Question Answering. CVPR Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
2018	J	`jnl`	Focal Visual-Text Attention for Visual Question Answering. CoRR Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, Alexander G. Hauptmann
2018	A*	`conf`	Iterative Visual Reasoning Beyond Convolutions. CVPR Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta
2018	J	`jnl`	Iterative Visual Reasoning Beyond Convolutions. CoRR Xinlei Chen, Li-Jia Li, Li Fei-Fei, Abhinav Gupta
2018	A*	`conf`	MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. ICML Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei
2018	J	`jnl`	NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. CoRR Jiyang Gao, Jiang Wang, Shengyang Dai, Li-Jia Li, Ram Nevatia
2018	—	`conf`	Progressive Neural Architecture Search. ECCV (1) Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2018	A*	`conf`	Thoracic Disease Identification and Localization With Limited Supervision. CVPR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2018	J	`jnl`	Vision-Based Gait Analysis for Senior Care. CoRR David Xue, Anin Sayana, Evan Darke, Kelly Shen, Jun-Ting Hsieh, Zelun Luo, Li-Jia Li, N. Lance Downing, Arnold Milstein, Li Fei-Fei
2017	A	`conf`	Attention Based CLDNNs for Short-Duration Acoustic Scene Classification. INTERSPEECH Jinxi Guo, Ning Xu, Li-Jia Li, Abeer Alwan
2017	—	`conf`	Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. WWW (Companion Volume) Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie
2017	A*	`conf`	Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. CVPR Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
2017	J	`jnl`	Deep Reinforcement Learning-based Image Captioning with Embedding Reward. CoRR Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
2017	A*	`conf`	Dense Captioning with Joint Inference and Visual Context. CVPR Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
2017	A*	`conf`	Learning from Noisy Labels with Distillation. ICCV Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li
2017	J	`jnl`	MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. CoRR Lu Jiang, Zhengyuan Zhou, Thomas Leung, Li-Jia Li, Li Fei-Fei
2017	J	`jnl`	Progressive Neural Architecture Search. CoRR Chenxi Liu, Barret Zoph, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan L. Yuille, Jonathan Huang, Kevin Murphy
2017	J	`jnl`	Thoracic Disease Identification and Localization with Limited Supervision. CoRR Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
2017	J	`jnl`	Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. Int. J. Comput. Vis. 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
2016	A	`conf`	Boosted Convolutional Neural Networks. BMVC Mohammad Moghimi, Serge J. Belongie, Mohammad J. Saberian, Jian Yang, Nuno Vasconcelos, Li-Jia Li
2016	J	`jnl`	Dense Captioning with Joint Inference and Visual Context. CoRR Linjie Yang, Kevin D. Tang, Jianchao Yang, Li-Jia Li
2016	A	`conf`	Finding Weather Photos: Community-Supervised Methods for Editorial Curation of Online Sources. CSCW David A. Shamma, Lyndon Kennedy, Li-Jia Li, Bart Thomee, Haojian Jin, Jeff Yuan
2016	J	`jnl`	Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. CoRR 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
2016	—	`ch.`	Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. Large-Scale Visual Geo-Localization Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang
2016	J	`jnl`	YFCC100M: the new data in multimedia research. Commun. ACM Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li
2015	A*	`conf`	Best of both worlds: Human-machine collaboration for object annotation. CVPR Olga Russakovsky, Li-Jia Li, Li Fei-Fei
2015	J	`jnl`	CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. ACM Trans. Multim. Comput. Commun. Appl. Li-Jia Li, David A. Shamma, Xiangnan Kong, Sina Jafarpour, Roelof van Zwol, Xuanhui Wang
2015	A*	`conf`	Image retrieval using scene graphs. CVPR Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei
2015	B	`conf`	Multi-view Face Detection Using Deep Convolutional Neural Networks. ICMR Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li
2015	J	`jnl`	Multi-view Face Detection Using Deep Convolutional Neural Networks. CoRR Sachin Sudhakar Farfade, Mohammad J. Saberian, Li-Jia Li
2015	J	`jnl`	The New Data and New Challenges in Multimedia Research. CoRR Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, Li-Jia Li
2014	A*	`conf`	Co-localization in Real-World Images. CVPR Kevin D. Tang, Armand Joulin, Li-Jia Li, Li Fei-Fei
2014	A	`conf`	Large-Scale Multi-Label Learning with Incomplete Label Assignments. SDM Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
2014	J	`jnl`	Large-Scale Multi-Label Learning with Incomplete Label Assignments. CoRR Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
2014	B	`conf`	Learning Features and Parts for Fine-Grained Recognition. ICPR Jonathan Krause, Timnit Gebru, Jia Deng, Li-Jia Li, Li Fei-Fei
2014	A	`conf`	Learning mid-level features from object hierarchy for image classification. WACV Somayah Albaradei, Yang Wang, Liangliang Cao, Li-Jia Li
2014	J	`jnl`	Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. Int. J. Comput. Vis. Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei
2014	B	`conf`	On visual similarity based interactive product recommendation for online shopping. ICIP Jen-Hao Hsiao, Li-Jia Li
2014	—	`conf`	Visual Recognition by Exploiting Latent Social Links in Image Collections. MMM (1) Li-Jia Li, Xiangnan Kong, Philip S. Yu
2014	J	`jnl`	Visual Sentiment Prediction with Deep Convolutional Neural Networks. CoRR Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li
2013	B	`conf`	Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. ICMR Yannis Kalantidis, Lyndon Kennedy, Li-Jia Li
2012	—	`conf`	Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries. ACCV (2) Sina Jafarpour, Li-Jia Li, Roelof van Zwol
2012	—	`conf`	Multi-Level Structured Image Coding on High-Dimensional Image Representation. ACCV (2) Li-Jia Li, Jun Zhu, Hao Su, Eric P. Xing, Li Fei-Fei
2011	—	`—`	Semantic image understanding: from the web, in large scale, with real-world challenging data. Li-Jia Li
2010	A*	`conf`	Building and using a semantivisual image hierarchy. CVPR Li-Jia Li, Chong Wang, Yongwhan Lim, David M. Blei, Li Fei-Fei
2010	—	`conf`	Large Margin Learning of Upstream Scene Understanding Models. NIPS Jun Zhu, Li-Jia Li, Li Fei-Fei, Eric P. Xing
2010	J	`jnl`	OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. Int. J. Comput. Vis. Li-Jia Li, Li Fei-Fei
2010	—	`conf`	Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. NIPS Li-Jia Li, Hao Su, Eric P. Xing, Li Fei-Fei
2010	—	`conf`	Objects as Attributes for Scene Classification. ECCV Workshops (1) Li-Jia Li, Hao Su, Yongwhan Lim, Li Fei-Fei
2010	—	`ch.`	What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Computer Vision: Detection, Recognition and Reconstruction Li Fei-Fei, Li-Jia Li
2009	A*	`conf`	ImageNet: A large-scale hierarchical image database. CVPR Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei
2009	A*	`conf`	Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. CVPR Li-Jia Li, Richard Socher, Li Fei-Fei
2007	A*	`conf`	OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. AAAI Li-Jia Li, Juan Carlos Niebles, Li Fei-Fei
2007	A*	`conf`	OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. CVPR Li-Jia Li, Gang Wang, Li Fei-Fei
2007	A*	`conf`	What, where and who? Classifying events by scene and object recognition. ICCV Li-Jia Li, Li Fei-Fei