Group sequential testing of homogeneity in genetic linkage analysis. - Yin Cui; Yuejiao Fu; Abdulkadir Hussein (Comput. Stat. Data Anal., 2009)

Event-Driven Semantic Concept Discovery by Exploiting Weakly Tagged Internet Images. - Jiawei Chen; Yin Cui; Guangnan Ye; Dong Liu 001; Shih-Fu Chang (ICMR, 2014)

Object-Based Visual Sentiment Concept Analysis and Application. - Tao Chen 015; Felix X. Yu; Jiawei Chen; Yin Cui; Yan-Ying Chen; Shih-Fu Chang (ACM Multimedia, 2014)

A spatial-color layout feature for representing galaxy images. - Yin Cui; Yongzhou Xiang; Kun Rong; Rogério Schmidt Feris; Liangliang Cao (WACV, 2014)

Building A Large Concept Bank for Representing Events in Video. - Yin Cui; Dong Liu 001; Jiawei Chen; Shih-Fu Chang (CoRR, 2014)

PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface. - Longqi Yang; Yin Cui; Fan Zhang 022; John P. Pollak; Serge J. Belongie; Deborah Estrin (CIKM, 2015)

Learning deep representations for ground-to-aerial geolocalization. - Tsung-Yi Lin; Yin Cui; Serge J. Belongie; James Hays (CVPR, 2015)

Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop. - Yin Cui; Feng Zhou 002; Yuanqing Lin; Serge J. Belongie (CVPR, 2016)

Kernel Pooling for Convolutional Neural Networks. - Yin Cui; Feng Zhou 002; Jiang Wang; Xiao Liu 022; Yuanqing Lin; Serge J. Belongie (CVPR, 2017)

Collaborative Metric Learning. - Cheng-Kang Hsieh; Longqi Yang; Yin Cui; Tsung-Yi Lin; Serge J. Belongie; Deborah Estrin (WWW, 2017)

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. - Yin Cui; Yang Song 009; Chen Sun 002; Andrew Howard 002; Serge J. Belongie (CVPR, 2018)

Learning to Evaluate Image Captioning. - Yin Cui; Guandao Yang; Andreas Veit; Xun Huang; Serge J. Belongie (CVPR, 2018)

The INaturalist Species Classification and Detection Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Yin Cui; Chen Sun 002; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CVPR, 2018)

Unbiased offline recommender evaluation for missing-not-at-random implicit feedback. - Longqi Yang; Yin Cui; Yuan Xuan; Chenyang Wang; Serge J. Belongie; Deborah Estrin (RecSys, 2018)

Class-Balanced Loss Based on Effective Number of Samples. - Yin Cui; Menglin Jia; Tsung-Yi Lin; Yang Song 009; Serge J. Belongie (CVPR, 2019)

Learning Single-View 3D Reconstruction with Limited Pose Supervision. - Guandao Yang; Yin Cui; Serge J. Belongie; Bharath Hariharan (CVPR Workshops, 2019)

Application of Agent in Security Platform. - Haijun Gu; Shucun Zhu; Yin Cui; Xin Miao; Haoyu Liu; Meiqi Liu (ICCC Workshops, 2019)

The iMaterialist Fashion Attribute Dataset. - Sheng Guo 005; Weilin Huang; Xiao Zhang; Prasanna Srikhanta; Yin Cui; Yuan Li; Hartwig Adam; Matthew R. Scott; Serge J. Belongie (ICCV Workshops, 2019)

Measuring Dataset Granularity. - Yin Cui; Zeqi Gu; Dhruv Mahajan 001; Laurens van der Maaten; Serge J. Belongie; Ser-Nam Lim (CoRR, 2019)

Learning from Fine-Grained and Long-Tailed Visual Data. - Yin Cui (2019)

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization. - Xianzhi Du; Tsung-Yi Lin; Pengchong Jin; Golnaz Ghiasi; Mingxing Tan; Yin Cui; Quoc V. Le; Xiaodan Song (CVPR, 2020)

Efficient Scale-Permuted Backbone with Learned Resource Distribution. - Xianzhi Du; Tsung-Yi Lin; Pengchong Jin; Yin Cui; Mingxing Tan; Quoc V. Le; Xiaodan Song (ECCV (23), 2020)

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. - Menglin Jia; Mengyun Shi; Mikhail Sirotenko; Yin Cui; Claire Cardie; Bharath Hariharan; Hartwig Adam; Serge J. Belongie (ECCV (1), 2020)

Rethinking Pre-training and Self-training. - Barret Zoph; Golnaz Ghiasi; Tsung-Yi Lin; Yin Cui; Hanxiao Liu; Ekin Dogus Cubuk; Quoc Le 001 (NeurIPS, 2020)

Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra. - Yi Zhou 011; Yin Cui; Xiaoke Xu; Jidong Suo; Xiaoming Liu (CoRR, 2020)

Transfer learning in computer vision tasks: Remember where you come from. - Xuhong Li 002; Yves Grandvalet; Franck Davoine; Jingchun Cheng; Yin Cui; Han Zhang 005; Serge J. Belongie; Yi-Hsuan Tsai; Ming-Hsuan Yang 001 (Image Vis. Comput., 2020)

Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. - Golnaz Ghiasi; Yin Cui; Aravind Srinivas; Rui Qian; Tsung-Yi Lin; Ekin D. Cubuk; Quoc V. Le; Barret Zoph (CVPR, 2021)

Spatiotemporal Contrastive Video Representation Learning. - Rui Qian; Tianjian Meng; Boqing Gong; Ming-Hsuan Yang 001; Huisheng Wang; Serge J. Belongie; Yin Cui (CVPR, 2021)

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. - Hassan Akbari; Liangzhe Yuan; Rui Qian; Wei-Hong Chuang; Shih-Fu Chang; Yin Cui; Boqing Gong (NeurIPS, 2021)

Research on Visual Tracking Algorithm Based on Peak Sidelobe Ratio. - Yin Cui; Hongge Ren (IEEE Access, 2021)

Zero-Shot Detection via Vision and Language Knowledge Distillation. - Xiuye Gu; Tsung-Yi Lin; Weicheng Kuo; Yin Cui (CoRR, 2021)

Bridging the Gap Between Object Detection and User Intent via Query-Modulation. - Marco Fornoni; Chaochao Yan; Liangchen Luo; Kimberly Wilber; Alex Stark; Yin Cui; Boqing Gong; Andrew G. Howard (CoRR, 2021)

Single Image Texture Translation for Data Augmentation. - Boyi Li; Yin Cui; Tsung-Yi Lin; Serge J. Belongie (CoRR, 2021)

Revisiting 3D ResNets for Video Recognition. - Xianzhi Du; Yeqing Li; Yin Cui; Rui Qian; Jing Li; Irwan Bello (CoRR, 2021)

Exploring Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (CoRR, 2021)

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. - Qing Li 001; Boqing Gong; Yin Cui; Dan Kondratyuk; Xianzhi Du; Ming-Hsuan Yang 001; Matthew Brown 001 (CoRR, 2021)

Open-Vocabulary Image Segmentation. - Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin (CoRR, 2021)

On Temporal Granularity in Self-Supervised Video Representation Learning. - Rui Qian; Yeqing Li; Liangzhe Yuan; Boqing Gong; Ting Liu 005; Matthew Brown 001; Serge J. Belongie; Ming-Hsuan Yang 001; Hartwig Adam; Yin Cui (BMVC, 2022)

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. - Liangzhe Yuan; Rui Qian; Yin Cui; Boqing Gong; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (CVPR, 2022)

Scaling Open-Vocabulary Image Segmentation with Image-Level Labels. - Golnaz Ghiasi; Xiuye Gu; Yin Cui; Tsung-Yi Lin (ECCV (36), 2022)

SITTA: Single Image Texture Translation for Data Augmentation. - Boyi Li; Yin Cui; Tsung-Yi Lin; Serge J. Belongie (ECCV Workshops (2), 2022)

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation. - Xiuye Gu; Tsung-Yi Lin; Weicheng Kuo; Yin Cui (ICLR, 2022)

Surrogate Gap Minimization Improves Sharpness-Aware Training. - Juntang Zhuang; Boqing Gong; Liangzhe Yuan; Yin Cui; Hartwig Adam; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan; Ting Liu 005 (ICLR, 2022)

Federated Multi-Target Domain Adaptation. - Chun-Han Yao; Boqing Gong; Hang Qi; Yin Cui; Yukun Zhu; Ming-Hsuan Yang 001 (WACV, 2022)

Research on Anomaly Suppression Correlation Filtering Algorithm. - Hongge Ren; Yin Cui; Tao Shi (IEEE Access, 2022)

Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models. - Rui Qian; Yeqing Li; Zheng Xu 005; Ming-Hsuan Yang 001; Serge J. Belongie; Yin Cui (CoRR, 2022)

F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models. - Weicheng Kuo; Yin Cui; Xiuye Gu; A. J. Piergiovanni; Anelia Angelova (CoRR, 2022)

Global Consensus of High-Order Discrete-Time Multi-Agent Systems with Communication Delay and Saturation Constraint. - Chong Tan; Yin Cui; Yanjiang Li (Sensors, 2022)

Train-Once-for-All Personalization. - Hong-You Chen; Yandong Li; Yin Cui; Mingda Zhang; Wei-Lun Chao; Li Zhang 003 (CVPR, 2023)

Human Factors Based New Media Design: Methodology and Assessment. - Shijun Ge; Yuanbo Sun; Yin Cui; Hao Shen (HCI (32), 2023)

Research on the Influence of Artificial Intelligence Interactive Function on Youth Sports Training - Taking Tiantian Skipping Rope App as an Example. - Luming Wang; Yin Cui; Xibin Gong; Fei Liu (HCI (54), 2023)

Unified Visual Relationship Detection with Vision and Language Models. - Long Zhao 003; Liangzhe Yuan; Boqing Gong; Yin Cui; Florian Schroff; Ming-Hsuan Yang 001; Hartwig Adam; Ting Liu 005 (ICCV, 2023)

Open-Vocabulary Object Detection upon Frozen Vision and Language Models. - Weicheng Kuo; Yin Cui; Xiuye Gu; A. J. Piergiovanni; Anelia Angelova (ICLR, 2023)

A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models. - James Urquhart Allingham; Jie Ren 006; Michael W. Dusenberry; Xiuye Gu; Yin Cui; Dustin Tran; Jeremiah Zhe Liu; Balaji Lakshminarayanan (ICML, 2023)

Module-wise Adaptive Distillation for Multimodality Foundation Models. - Chen Liang 006; Jiahui Yu; Ming-Hsuan Yang 001; Matthew Brown 001; Yin Cui; Tuo Zhao; Boqing Gong; Tianyi Zhou 002 (NeurIPS, 2023)

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. - Hassan Akbari; Dan Kondratyuk; Yin Cui; Rachel Hornung; Huisheng Wang; Hartwig Adam (NeurIPS, 2023)

DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. - Xiuye Gu; Yin Cui; Jonathan Huang; Abdullah Rashwan; Xuan Yang; Xingyi Zhou; Golnaz Ghiasi; Weicheng Kuo; Huizhong Chen; Liang-Chieh Chen; David A. Ross (NeurIPS, 2023)

MovieCLIP: Visual Scene Recognition in Movies. - Digbalay Bose; Rajat Hebbar; Krishna Somandepalli; Haoyang Zhang; Yin Cui; Kree Cole-McLaughlin; Huisheng Wang; Shrikanth Narayanan (WACV, 2023)

Towards Understanding the Effect of Pretraining Label Granularity. - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (CoRR, 2023)

Intelligent design of display space layout based on two-stage deep learning network. - Jiaxing Liu; Yongchao Zhu; Yin Cui (J. Comput. Methods Sci. Eng., 2023)

Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems. - Yanjiang Li; Chong Tan; Jingxian Wu 004; Guo-Ping Liu 003; Yin Cui (J. Syst. Sci. Complex., 2023)

Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation. - Yunhao Ge; Xiaohui Zeng; Jacob Samuel Huffman; Tsung-Yi Lin; Ming-Yu Liu 001; Yin Cui (CVPR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

Why Fine-grained Labels in Pretraining Benefit Generalization? - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanely Chan; Enming Luo (CoRR, 2024)

Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models. - Yuval Atzmon; Maciej Bala; Yogesh Balaji; Tiffany Cai; Yin Cui; Jiaojiao Fan; Yunhao Ge; Siddharth Gururani; Jacob Samuel Huffman; Ronald Isaac; Pooya Jannaty; Tero Karras; et al. (CoRR, 2024)

Edify 3D: Scalable High-Quality 3D Asset Generation. - Maciej Bala; Yin Cui; Yifan Ding; Yunhao Ge; Zekun Hao; Jon Hasselgren; Jacob Samuel Huffman; Jingyi Jin; J. P. Lewis 001; Zhaoshuo Li; Chen-Hsuan Lin 001; Yen-Chen Lin; et al. (CoRR, 2024)

Why Fine-grained Labels in Pretraining Benefit Generalization? - Guanzhe Hong; Yin Cui; Ariel Fuxman; Stanley H. Chan; Enming Luo (Trans. Mach. Learn. Res., 2024)

VideoGLUE: Video General Understanding Evaluation of Foundation Models. - Liangzhe Yuan; Nitesh Bharadwaj Gundavarapu; Long Zhao 003; Hao Zhou 014; Yin Cui; Lu Jiang 004; Xuan Yang; Menglin Jia; Tobias Weyand; Luke Friedman; Mikhail Sirotenko; Huisheng Wang; et al. (Trans. Mach. Learn. Res., 2024)

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary. - Zeqi Gu; Yin Cui; Zhaoshuo Li; Fangyin Wei; Yunhao Ge; Jinwei Gu; Ming-Yu Liu 001; Abe Davis; Yifan Ding (CVPR, 2025)

An Innovative Solution to Design Problems: Applying the Chain-of-Thought Technique to Integrate LLM-Based Agents With Concept Generation Methods. - Shijun Ge; Yuanbo Sun; Yin Cui; Dapeng Wei (IEEE Access, 2025)

Distributed Resilient Clustering Algorithm for Virtual Power Plants Under Cyber Attacks. - Jia Wu; Yifan Sun; Jinyue Qian; Yin Cui; Qian Wang; Li Zhuo 004 (IEEE Access, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Guest Editorial: Special Issue on Open-World Visual Recognition. - Zhun Zhong; Hong Liu 009; Yin Cui; Shin'ichi Satoh 001; Nicu Sebe; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2025)

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning. - Alisson G. Azzolini; Hannah Brandon; Prithvijit Chattopadhyay; Huayu Chen; Jinju Chu; Yin Cui; Jenna Diamond; Yifan Ding; Francesco Ferroni; Rama Govindaraju; Jinwei Gu; Siddharth Gururani; et al. (CoRR, 2025)

Describe Anything: Detailed Localized Image and Video Captioning. - Long Lian; Yifan Ding; Yunhao Ge; Sifei Liu; Hanzi Mao; Boyi Li; Marco Pavone 001; Ming-Yu Liu 001; Trevor Darrell; Adam Yala; Yin Cui (CoRR, 2025)

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. - Huayu Chen; Kaiwen Zheng; Qinsheng Zhang; Ganqu Cui; Yin Cui; Haotian Ye; Tsung-Yi Lin; Ming-Yu Liu 001; Jun Zhu 001; Haoxiang Wang (CoRR, 2025)