OPTIMOL: A Framework for Online Picture Collection via Incremental Model Learning. - Li-Jia Li 001; Juan Carlos Niebles; Li Fei-Fei 001 (AAAI, 2007)

OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. - Li-Jia Li 001; Gang Wang; Li Fei-Fei 001 (CVPR, 2007)

What, where and who? Classifying events by scene and object recognition. - Li-Jia Li 001; Li Fei-Fei 001 (ICCV, 2007)

ImageNet: A large-scale hierarchical image database. - Jia Deng 001; Wei Dong 003; Richard Socher; Li-Jia Li 001; Kai Li 001; Li Fei-Fei 001 (CVPR, 2009)

Towards total scene understanding: Classification, annotation and segmentation in an automatic framework. - Li-Jia Li 001; Richard Socher; Li Fei-Fei 001 (CVPR, 2009)

Building and using a semantivisual image hierarchy. - Li-Jia Li 001; Chong Wang 002; Yongwhan Lim; David M. Blei; Li Fei-Fei 001 (CVPR, 2010)

Objects as Attributes for Scene Classification. - Li-Jia Li 001; Hao Su 001; Yongwhan Lim; Li Fei-Fei 001 (ECCV Workshops (1), 2010)

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification. - Li-Jia Li 001; Hao Su 001; Eric P. Xing; Li Fei-Fei 001 (NIPS, 2010)

Large Margin Learning of Upstream Scene Understanding Models. - Jun Zhu 001; Li-Jia Li 001; Li Fei-Fei 001; Eric P. Xing (NIPS, 2010)

OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning. - Li-Jia Li 001; Li Fei-Fei 001 (Int. J. Comput. Vis., 2010)

What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. - Li Fei-Fei 001; Li-Jia Li 001 (Computer Vision: Detection, Recognition and Reconstruction, 2010)

Semantic image understanding: from the web, in large scale, with real-world challenging data. - Li-Jia Li 001 (2011)

Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries. - Sina Jafarpour; Li-Jia Li 001; Roelof van Zwol (ACCV (2), 2012)

Multi-Level Structured Image Coding on High-Dimensional Image Representation. - Li-Jia Li 001; Jun Zhu 001; Hao Su 001; Eric P. Xing; Li Fei-Fei 001 (ACCV (2), 2012)

Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. - Yannis Kalantidis; Lyndon Kennedy; Li-Jia Li 001 (ICMR, 2013)

Co-localization in Real-World Images. - Kevin D. Tang; Armand Joulin; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2014)

On visual similarity based interactive product recommendation for online shopping. - Jen-Hao Hsiao; Li-Jia Li 001 (ICIP, 2014)

Learning Features and Parts for Fine-Grained Recognition. - Jonathan Krause; Timnit Gebru; Jia Deng 001; Li-Jia Li 001; Li Fei-Fei 001 (ICPR, 2014)

Visual Recognition by Exploiting Latent Social Links in Image Collections. - Li-Jia Li 001; Xiangnan Kong; Philip S. Yu (MMM (1), 2014)

Large-Scale Multi-Label Learning with Incomplete Label Assignments. - Xiangnan Kong; Zhaoming Wu; Li-Jia Li 001; Ruofei Zhang; Philip S. Yu; Hang Wu; Wei Fan 001 (SDM, 2014)

Learning mid-level features from object hierarchy for image classification. - Somayah Albaradei; Yang Wang 003; Liangliang Cao; Li-Jia Li 001 (WACV, 2014)

Visual Sentiment Prediction with Deep Convolutional Neural Networks. - Can Xu; Suleyman Cetintas; Kuang-Chih Lee; Li-Jia Li 001 (CoRR, 2014)

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition. - Li-Jia Li 001; Hao Su 001; Yongwhan Lim; Li Fei-Fei 001 (Int. J. Comput. Vis., 2014)

Image retrieval using scene graphs. - Justin Johnson 001; Ranjay Krishna; Michael Stark 003; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (CVPR, 2015)

Best of both worlds: Human-machine collaboration for object annotation. - Olga Russakovsky; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2015)

Multi-view Face Detection Using Deep Convolutional Neural Networks. - Sachin Sudhakar Farfade; Mohammad J. Saberian; Li-Jia Li 001 (ICMR, 2015)

Opportunities and Challenges of Industry-Academic Collaborations in Multimedia Research. - Shih-Fu Chang; Matthew Cooper 002; Denver Dash; Funda Kivran-Swaine; Jia Li 054; David A. Shamma (ACM Multimedia, 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 001 (CoRR, 2015)

CelebrityNet: A Social Network Constructed from Large-Scale Online Celebrity Images. - Li-Jia Li 001; David A. Shamma; Xiangnan Kong; Sina Jafarpour; Roelof van Zwol; Xuanhui Wang (ACM Trans. Multim. Comput. Commun. Appl., 2015)

Boosted Convolutional Neural Networks. - Mohammad Moghimi; Serge J. Belongie; Mohammad J. Saberian; Jian Yang 003; Nuno Vasconcelos; Li-Jia Li 001 (BMVC, 2016)

Finding Weather Photos: Community-Supervised Methods for Editorial Curation of Online Sources. - David A. Shamma; Lyndon Kennedy; Li-Jia Li 001; Bart Thomee; Haojian Jin; Jeff Yuan (CSCW, 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 001 (Commun. ACM, 2016)

Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos. - Li-Jia Li 001; Rahul Kumar Jha; Bart Thomee; David Ayman Shamma; Liangliang Cao; Yang Wang 003 (Large-Scale Visual Geo-Localization, 2016)

Deep Reinforcement Learning-Based Image Captioning with Embedding Reward. - Zhou Ren; Xiaoyu Wang 002; Ning Zhang; Xutao Lv; Li-Jia Li 001 (CVPR, 2017)

Dense Captioning with Joint Inference and Visual Context. - Linjie Yang; Kevin D. Tang; Jianchao Yang; Li-Jia Li 001 (CVPR, 2017)

Learning from Noisy Labels with Distillation. - Yuncheng Li; Jianchao Yang; Yale Song; Liangliang Cao; Jiebo Luo 001; Li-Jia Li 001 (ICCV, 2017)

Attention Based CLDNNs for Short-Duration Acoustic Scene Classification. - Jinxi Guo; Ning Xu 010; Li-Jia Li 001; Abeer Alwan (INTERSPEECH, 2017)

Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. - Carl Yang 001; Lin Zhong; Li-Jia Li 001; Luo Jie (WWW (Companion Volume), 2017)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (CoRR, 2017)

MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (CoRR, 2017)

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. - Ranjay Krishna; Yuke Zhu; Oliver Groth; Justin Johnson 001; Kenji Hata; Joshua Kravitz; Stephanie Chen; Yannis Kalantidis; Li-Jia Li 001; David A. Shamma; Michael S. Bernstein; Li Fei-Fei 001 (Int. J. Comput. Vis., 2017)

Iterative Visual Reasoning Beyond Convolutions. - Xinlei Chen; Li-Jia Li 001; Li Fei-Fei 001; Abhinav Gupta 001 (CVPR, 2018)

Thoracic Disease Identification and Localization With Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (CVPR, 2018)

Focal Visual-Text Attention for Visual Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Li-Jia Li 001; Alexander G. Hauptmann (CVPR, 2018)

AMC: AutoML for Model Compression and Acceleration on Mobile Devices. - Yihui He; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Li-Jia Li 001; Song Han 003 (ECCV (7), 2018)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Maxim Neumann; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (ECCV (1), 2018)

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels. - Lu Jiang 004; Zhengyuan Zhou; Thomas Leung; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? - Zhengyuan Zhou; Panayotis Mertikopoulos; Nicholas Bambos; Peter W. Glynn; Yinyu Ye 001; Li-Jia Li 001; Li Fei-Fei 001 (ICML, 2018)

Attention-based Graph Neural Network for Semi-supervised Learning. - Kiran Koshy Thekumparampil; Chong Wang 002; Sewoong Oh; Li-Jia Li 001 (CoRR, 2018)

Vision-Based Gait Analysis for Senior Care. - David Xue; Anin Sayana; Evan Darke; Kelly Shen; Jun-Ting Hsieh; Zelun Luo; Li-Jia Li 001; N. Lance Downing; Arnold Milstein; Li Fei-Fei 001 (CoRR, 2018)

Thoracic Disease Identification and Localization with Limited Supervision. - Zhe Li 001; Chong Wang 002; Mei Han; Yuan Xue; Wei Wei 019; Li-Jia Li 001; Li Fei-Fei 001 (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Composing Text and Image for Image Retrieval - an Empirical Odyssey. - Nam Vo; Lu Jiang 004; Chen Sun 002; Kevin Murphy 002; Li-Jia Li 001; Li Fei-Fei 001; James Hays (CVPR, 2019)

NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection. - Jiyang Gao; Jiang Wang 001; Shengyang Dai; Li-Jia Li 001; Ram Nevatia (ICCV, 2019)

Generative Modeling for Small-Data Object Detection. - Lanlan Liu; Michael Muelly; Jia Deng 001; Tomas Pfister; Li-Jia Li 001 (ICCV, 2019)

Eidetic 3D LSTM: A Model for Video Prediction and Beyond. - Yunbo Wang; Lu Jiang 004; Ming-Hsuan Yang 001; Li-Jia Li 001; Mingsheng Long; Li Fei-Fei 001 (ICLR (Poster), 2019)

Feature Partitioning for Efficient Multi-Task Architectures. - Alejandro Newell; Lu Jiang 004; Chong Wang 002; Li-Jia Li 001; Jia Deng 001 (CoRR, 2019)

Focal Visual-Text Attention for Memex Question Answering. - Junwei Liang 001; Lu Jiang 004; Liangliang Cao; Yannis Kalantidis; Li-Jia Li 001; Alexander G. Hauptmann (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

YMIR: A Rapid Data-centric Development Platform for Vision Applications. - Phoenix X. Huang; Wenze Hu; William Brendel; Manmohan Chandraker; Li-Jia Li 001; Xiaoyu Wang 002 (CoRR, 2021)

ALBench: A Framework for Evaluating Active Learning in Object Detection. - Zhanpeng Feng; Shiliang Zhang; Rinyoichi Takezoe; Wenze Hu; Manmohan Chandraker; Li-Jia Li 001; Vijay K. Narayanan; Xiaoyu Wang 002 (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 001; Jeremy J. Heit (CoRR, 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 001; Greg Zaharchuk; Benjamin F. J. Verhaaren; Abdelkader Mahammedi; Soren Christensen; Maarten G. Lansberg (CoRR, 2022)

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 001; Ramesh C. Jain; et al. (CoRR, 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 001; et al. (Medical Image Anal., 2023)

Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations. - Kilichbek Haydarov; Xiaoqian Shen; Avinash Madasu; Mahmoud Salem; Li-Jia Li 001; Gamaleldin Elsayed; Mohamed Elhoseiny (ECCV (75), 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 L. Borelli; Jia Li 054; Mona Mahmoudi; Carmen Wiedenhoeft; Amir M. Rahmani (CoRR, 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 001; et al. (npj Digit. Medicine, 2024)