The Analysis of PPL Attention Effects in the Screen of Multimedia Contents. - Young Jae Lee; Yong Jae Lee (FGCN (2), 2007)

Foreground Focus: Finding Meaningful Features in Unlabeled Images. - Yong Jae Lee; Kristen Grauman (BMVC, 2008)

Ray-based Color Image Segmentation. - Changhai Xu; Yong Jae Lee; Benjamin Kuipers (CRV, 2008)

Shape discovery from unlabeled image collections. - Yong Jae Lee; Kristen Grauman (CVPR, 2009)

Foreground Focus: Unsupervised Learning from Partially Matching Images. - Yong Jae Lee; Kristen Grauman (Int. J. Comput. Vis., 2009)

Object-graphs for context-aware category discovery. - Yong Jae Lee; Kristen Grauman (CVPR, 2010)

Collect-cut: Segmentation with top-down cues discovered in multi-object images. - Yong Jae Lee; Kristen Grauman (CVPR, 2010)

Interface of Augmented Reality Game Using Face Tracking and Its Application to Advertising. - Young Jae Lee; Yong Jae Lee (SUComS, 2010)

Simple, extensible and flexible random key predistribution schemes for wireless sensor networks using reusable key pools. - Albert Levi; Sinan Emre Tasçi; Young Jae Lee; Yong Jae Lee; Ersoy Bayramoglu; Murat Ergun (J. Intell. Manuf., 2010)

Face Discovery with Social Context. - Yong Jae Lee; Kristen Grauman (BMVC, 2011)

Learning the easy things first: Self-paced visual category discovery. - Yong Jae Lee; Kristen Grauman (CVPR, 2011)

Key-segments for video object segmentation. - Yong Jae Lee; Jaechul Kim; Kristen Grauman (ICCV, 2011)

Face Tracking for Augmented Reality Game Interface and Brand Placement. - Yong Jae Lee; Young Jae Lee (UCMA (2), 2011)

ShadowDraw: real-time user guidance for freehand drawing. - Yong Jae Lee; C. Lawrence Zitnick; Michael F. Cohen (ACM Trans. Graph., 2011)

Discovering important people and objects for egocentric video summarization. - Yong Jae Lee; Joydeep Ghosh; Kristen Grauman (CVPR, 2012)

Object-Graphs for Context-Aware Visual Category Discovery. - Yong Jae Lee; Kristen Grauman (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time. - Yong Jae Lee; Alexei A. Efros; Martial Hebert (ICCV, 2013)

An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. - Steve Mann; Kris M. Kitani; Yong Jae Lee; Michael S. Ryoo; Alireza Fathi (CVPR Workshops, 2014)

Weakly-supervised Discovery of Visual Pattern Configurations. - Hyun Oh Song; Yong Jae Lee; Stefanie Jegelka; Trevor Darrell (NIPS, 2014)

Development of a Monitoring System for Multichannel Cables Using TDR. - Sang Min Kim; Jin Ho Sung; Woong Park; Jae Hyoun Ha; Yong Jae Lee; Heung Bum Kim (IEEE Trans. Instrum. Meas., 2014)

AverageExplorer: interactive exploration and alignment of visual data collections. - Jun-Yan Zhu; Yong Jae Lee; Alexei A. Efros (ACM Trans. Graph., 2014)

FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences. - Tinghui Zhou; Yong Jae Lee; Stella X. Yu; Alexei A. Efros (CVPR, 2015)

Discovering the Spatial Extent of Relative Attributes. - Fanyi Xiao; Yong Jae Lee (ICCV, 2015)

Predicting Important Objects for Egocentric Video Summarization. - Yong Jae Lee; Kristen Grauman (Int. J. Comput. Vis., 2015)

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. - Krishna Kumar Singh; Fanyi Xiao; Yong Jae Lee (CVPR, 2016)

Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals. - Fanyi Xiao; Yong Jae Lee (CVPR, 2016)

End-to-End Localization and Ranking for Relative Attributes. - Krishna Kumar Singh; Yong Jae Lee (ECCV (6), 2016)

Discovering Mid-level Visual Connections in Space and Time. - Yong Jae Lee; Alexei A. Efros; Martial Hebert (Large-Scale Visual Geo-Localization, 2016)

Identifying First-Person Camera Wearers in Third-Person Videos. - Chenyou Fan; Jangwon Lee 002; Mingze Xu; Krishna Kumar Singh; Yong Jae Lee; David J. Crandall; Michael S. Ryoo (CVPR, 2017)

Interspecies Knowledge Transfer for Facial Keypoint Detection. - Maheen Rashid; Xiuye Gu; Yong Jae Lee (CVPR, 2017)

Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. - Fanyi Xiao; Leonid Sigal; Yong Jae Lee (CVPR, 2017)

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. - Krishna Kumar Singh; Yong Jae Lee (ICCV, 2017)

Who Moved My Cheese? Automatic Annotation of Rodent Behaviors with Convolutional Neural Networks. - Zhongzheng Ren; Adriana Noronha Annie; Vogel Ciernia; Yong Jae Lee (WACV, 2017)

Spatial-Temporal Memory Networks for Video Object Detection. - Fanyi Xiao; Yong Jae Lee (CoRR, 2017)

Analyzing the Adoption and Cascading Process of OSN-Based Gifting Applications: An Empirical Study. - Mohammad Rezaur Rahman; Jinyoung Han; Yong Jae Lee; Chen-Nee Chuah (ACM Trans. Web, 2017)

Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery. - Zhongzheng Ren; Yong Jae Lee (CVPR, 2018)

Learning to Anonymize Faces for Privacy Preserving Action Detection. - Zhongzheng Ren; Yong Jae Lee; Michael S. Ryoo (ECCV (1), 2018)

DOCK: Detecting Objects by Transferring Common-Sense Knowledge. - Krishna Kumar Singh; Santosh Kumar Divvala; Ali Farhadi; Yong Jae Lee (ECCV (13), 2018)

Video Object Detection with an Aligned Spatial-Temporal Memory. - Fanyi Xiao; Yong Jae Lee (ECCV (8), 2018)

A Visual Attention Grounding Neural Model for Multimodal Machine Translation. - Mingyang Zhou 004; Runxiang Cheng; Yong Jae Lee; Zhou Yu 005 (EMNLP, 2018)

A 16Gb 18Gb/S/pin GDDR6 DRAM with per-bit trainable single-ended DFE and PLL-less clocking. - Young-Ju Kim 001; Hye-Jung Kwon; Su-Yeon Doo; Yoon-Joo Eom; Young-Sik Kim; Min-Su Ahn; Yong-Hun Kim; Sang-Hoon Jung; Sung-Geun Do; Chang-Yong Lee; Jae-Sung Kim; Dong-Seok Kang; et al. (ISSCC, 2018)

Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks. - Wenjian Hu; Krishna Kumar Singh; Fanyi Xiao; Jinyoung Han; Chen-Nee Chuah; Yong Jae Lee (WSDM, 2018)

Transferring Common-Sense Knowledge for Object Detection. - Krishna Kumar Singh; Santosh Kumar Divvala; Ali Farhadi; Yong Jae Lee (CoRR, 2018)

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. - Krishna Kumar Singh; Hao Yu 014; Aron Sarmasi; Gautam Pradeep; Yong Jae Lee (CoRR, 2018)

HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. - Xiuye Gu; Yijie Wang; Chongruo Wu; Yong Jae Lee; Panqu Wang (CVPR, 2019)

You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. - Krishna Kumar Singh; Yong Jae Lee (CVPR, 2019)

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. - Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2019)

YOLACT: Real-Time Instance Segmentation. - Daniel Bolya; Chong Zhou; Fanyi Xiao; Yong Jae Lee (ICCV, 2019)

Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos. - Fanyi Xiao; Haotian Liu; Yong Jae Lee (ICCV, 2019)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (CoRR, 2019)

A 16-Gb, 18-Gb/s/pin GDDR6 DRAM With Per-Bit Trainable Single-Ended DFE and PLL-Less Clocking. - Young-Ju Kim 001; Hye-Jung Kwon; Su-Yeon Doo; Min-Su Ahn; Yong-Hun Kim; Yong Jae Lee; Dong-Seok Kang; Sung-Geun Do; Chang-Yong Lee; Gun-hee Cho; Jae-Koo Park; Jae-Sung Kim; et al. (IEEE J. Solid State Circuits, 2019)

Delving Deeper into Anti-aliasing in ConvNets. - Xueyan Zou; Fanyi Xiao; Zhiding Yu; Yong Jae Lee (BMVC, 2020)

MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. - Yuheng Li; Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee (CVPR, 2020)

Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. - Zhongzheng Ren; Zhiding Yu; Xiaodong Yang 001; Ming-Yu Liu 001; Yong Jae Lee; Alexander G. Schwing; Jan Kautz (CVPR, 2020)

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. - Krishna Kumar Singh; Dhruv Mahajan 001; Kristen Grauman; Yong Jae Lee; Matt Feiszli; Deepti Ghadiyaram (CVPR, 2020)

Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. - Xiuye Gu; Weixin Luo; Michael S. Ryoo; Yong Jae Lee (ECCV (23), 2020)

Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. - Utkarsh Ojha; Krishna Kumar Singh; Cho-Jui Hsieh; Yong Jae Lee (NeurIPS, 2020)

Boxer: Preventing fraud by scanning credit cards. - Zain ul Abi Din; Hari Venugopalan; Jaime Park; Andy Li; Weisu Yin; Haohui Mai; Yong Jae Lee; Steven Liu; Samuel T. King (USENIX Security Symposium, 2020)

Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. - Maheen Rashid; Hedvig Kjellström; Yong Jae Lee (WACV, 2020)

Audiovisual SlowFast Networks for Video Recognition. - Fanyi Xiao; Yong Jae Lee; Kristen Grauman; Jitendra Malik; Christoph Feichtenhofer (CoRR, 2020)

YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS). - Haotian Liu; Rafael A. Rivera Soto; Fanyi Xiao; Yong Jae Lee (CoRR, 2020)

PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. - Yuheng Li; Krishna Kumar Singh; Yang Xue; Yong Jae Lee (BMVC, 2021)

Few-Shot Image Generation via Cross-Domain Correspondence. - Utkarsh Ojha; Yijun Li 001; Jingwan Lu; Alexei A. Efros; Yong Jae Lee; Eli Shechtman; Richard Zhang 001 (CVPR, 2021)

Progressive Temporal Feature Alignment Network for Video Inpainting. - Xueyan Zou; Linjie Yang; Ding Liu; Yong Jae Lee (CVPR, 2021)

Collaging Class-specific GANs for Semantic Image Synthesis. - Yuheng Li; Yijun Li 001; Jingwan Lu; Eli Shechtman; Yong Jae Lee; Krishna Kumar Singh (ICCV, 2021)

Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes. - Yangming Wen; Krishna Kumar Singh; Markham Anderson; Wei-Pang Jan; Yong Jae Lee (ICCVW, 2021)

Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (ICLR, 2021)

YolactEdge: Real-time Instance Segmentation on the Edge. - Haotian Liu; Rafael A. Rivera Soto; Fanyi Xiao; Yong Jae Lee (ICRA, 2021)

SinGAN-GIF: Learning a Generative Video Model from a Single GIF. - Rajat Arora; Yong Jae Lee (WACV, 2021)

Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. - Utkarsh Ojha; Krishna Kumar Singh; Yong Jae Lee (CoRR, 2021)

The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. - Zeyi Huang; Haohan Wang; Dong Huang 007; Yong Jae Lee; Eric P. Xing (CVPR, 2022)

GIRAFFE HD: A High-Resolution 3D-aware Generative Model. - Yang Xue; Yuheng Li; Krishna Kumar Singh; Yong Jae Lee (CVPR, 2022)

Contrastive Learning for Diverse Disentangled Foreground Generation. - Yuheng Li; Yijun Li 001; Jingwan Lu; Eli Shechtman; Yong Jae Lee; Krishna Kumar Singh (ECCV (16), 2022)

Masked Discrimination for Self-supervised Learning on Point Clouds. - Haotian Liu; Mu Cai; Yong Jae Lee (ECCV (2), 2022)

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. - Chunyuan Li; Haotian Liu; Liunian Harold Li; Pengchuan Zhang; Jyoti Aneja; Jianwei Yang; Ping Jin; Houdong Hu; Zicheng Liu 001; Yong Jae Lee; Jianfeng Gao 001 (NeurIPS, 2022)

Toward learning human-aligned cross-domain robust models by countering misaligned features. - Haohan Wang; Zeyi Huang; Hanlin Zhang 002; Yong Jae Lee; Eric P. Xing (UAI, 2022)

Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. - Maheen Rashid; Sofia Broomé; Katrina Ask; Elin Hernlund; Pia Haubro Andersen; Hedvig Kjellström; Yong Jae Lee (WACV, 2022)

End-to-End Instance Edge Detection. - Xueyan Zou; Haotian Liu; Yong Jae Lee (CoRR, 2022)

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization. - Zeyi Huang; Haohan Wang; Dong Huang 007; Yong Jae Lee; Eric P. Xing (CoRR, 2022)

What Knowledge Gets Distilled in Knowledge Distillation? - Utkarsh Ojha; Yuheng Li; Yong Jae Lee (CoRR, 2022)

EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning. - Zhuoran Yu; Yin Li; Yong Jae Lee (CoRR, 2022)

Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. - Minh-Long Luu; Zeyi Huang; Eric P. Xing; Yong Jae Lee; Haohan Wang (CoRR, 2022)

YOLACT++ Better Real-Time Instance Segmentation. - Daniel Bolya; Chong Zhou; Fanyi Xiao; Yong Jae Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GLIGEN: Open-Set Grounded Text-to-Image Generation. - Yuheng Li; Haotian Liu; Qingyang Wu; Fangzhou Mu; Jianwei Yang; Jianfeng Gao 001; Chunyuan Li; Yong Jae Lee (CVPR, 2023)

Learning Customized Visual Models with Retrieval-Augmented Knowledge. - Haotian Liu; Kilho Son; Jianwei Yang; Ce Liu 001; Jianfeng Gao 001; Yong Jae Lee; Chunyuan Li (CVPR, 2023)

Towards Universal Fake Image Detectors that Generalize Across Generative Models. - Utkarsh Ojha; Yuheng Li; Yong Jae Lee (CVPR, 2023)

Generalized Decoding for Pixel, Image, and Language. - Xueyan Zou; Zi-Yi Dou; Jianwei Yang; Zhe Gan; Linjie Li; Chunyuan Li; Xiyang Dai; Harkirat Behl; Jianfeng Wang; Lu Yuan; Nanyun Peng 001; Lijuan Wang; et al. (CVPR, 2023)

Exploring the Capabilities of a General-Purpose Robotic Arm in Chess Gameplay. - Kazuki Shin; Sankalp Yamsani; Roman Mineyev; Hongyu Chen; Nitish Gandi; Yong Jae Lee; Joohyung Kim (Humanoids, 2023)

A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. - Zeyi Huang; Andy Zhou; Zijian Lin; Mu Cai; Haohan Wang; Yong Jae Lee (ICCV, 2023)

InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. - Zhuoran Yu; Yin Li; Yong Jae Lee (ICLR, 2023)

Visual Instruction Tuning. - Haotian Liu; Chunyuan Li; Qingyang Wu; Yong Jae Lee (NeurIPS, 2023)

Visual Instruction Inversion: Image Editing via Image Prompting. - Thao Nguyen; Yuheng Li; Utkarsh Ojha; Yong Jae Lee (NeurIPS, 2023)

What Knowledge Gets Distilled in Knowledge Distillation? - Utkarsh Ojha; Yuheng Li; Anirudh Sundara Rajan; Yingyu Liang; Yong Jae Lee (NeurIPS, 2023)

Segment Everything Everywhere All at Once. - Xueyan Zou; Jianwei Yang; Hao Zhang 097; Feng Li 040; Linjie Li; Jianfeng Wang; Lijuan Wang; Jianfeng Gao 001; Yong Jae Lee (NeurIPS, 2023)

Segment Everything Everywhere All at Once. - Xueyan Zou; Jianwei Yang; Hao Zhang 097; Feng Li 040; Linjie Li; Jianfeng Gao 001; Yong Jae Lee (CoRR, 2023)

Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. - Mu Cai; Zeyi Huang; Yuheng Li; Haohan Wang; Yong Jae Lee (CoRR, 2023)

Generate Anything Anywhere in Any Scene. - Yuheng Li; Haotian Liu; Yangming Wen; Yong Jae Lee (CoRR, 2023)

Visual Instruction Inversion: Image Editing via Visual Prompting. - Thao Nguyen; Yuheng Li; Utkarsh Ojha; Yong Jae Lee (CoRR, 2023)

Investigating the Catastrophic Forgetting in Multimodal Large Language Models. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (CoRR, 2023)

Making Large Multimodal Models Understand Arbitrary Visual Prompts. - Mu Cai; Haotian Liu; Siva Karthik Mustikovela; Gregory P. Meyer; Yuning Chai; Dennis Park; Yong Jae Lee (CoRR, 2023)

Interfacing Foundation Models' Embeddings. - Xueyan Zou; Linjie Li; Jianfeng Wang; Jianwei Yang; Mingyu Ding; Zhengyuan Yang; Feng Li 040; Hao Zhang 097; Shilong Liu; Arul Aravinthan; Yong Jae Lee; Lijuan Wang (CoRR, 2023)

Delving Deeper into Anti-Aliasing in ConvNets. - Xueyan Zou; Fanyi Xiao; Zhiding Yu; Yuheng Li; Yong Jae Lee (Int. J. Comput. Vis., 2023)

CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. - Jianrui Zhang; Mu Cai; Tengyang Xie; Yong Jae Lee (ACL (Findings), 2024)

Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. - Yuexiang Zhai; Shengbang Tong; Xiao Li 022; Mu Cai; Qing Qu 001; Yong Jae Lee; Yi Ma 001 (CPAL, 2024)

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. - Mu Cai; Haotian Liu; Siva Karthik Mustikovela; Gregory P. Meyer; Yuning Chai; Dennis Park; Yong Jae Lee (CVPR, 2024)

Improved Baselines with Visual Instruction Tuning. - Haotian Liu; Chunyuan Li; Yuheng Li; Yong Jae Lee (CVPR, 2024)

Edit One for All: Interactive Batch Image Editing. - Thao Nguyen; Utkarsh Ojha; Yuheng Li; Haotian Liu; Yong Jae Lee (CVPR, 2024)

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. - Yuheng Li; Haotian Liu; Mu Cai; Yijun Li 001; Eli Shechtman; Zhe Lin 001; Yong Jae Lee; Krishna Kumar Singh (ECCV (21), 2024)

MATE: Meet At The Embedding - Connecting Images with Long Texts. - Young Kyun Jang; Junmo Kang; Yong Jae Lee; Donghyun Kim (EMNLP (Findings), 2024)

VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. - Bocheng Zou; Mu Cai; Jianrui Zhang; Yong Jae Lee (EMNLP, 2024)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. - Mu Cai; Chenxu Luo; Yong Jae Lee; Xiaodong Yang 001 (IROS, 2024)

Yo'LLaVA: Your Personalized Language and Vision Assistant. - Thao Nguyen; Haotian Liu; Yuheng Li; Mu Cai; Utkarsh Ojha; Yong Jae Lee (NeurIPS, 2024)

Interfacing Foundation Models' Embeddings. - Xueyan Zou; Linjie Li; Jianfeng Wang; Jianwei Yang; Mingyu Ding; Junyi Wei; Zhengyuan Yang; Feng Li 040; Hao Zhang 097; Shilong Liu; Arul Aravinthan; Yong Jae Lee; et al. (NeurIPS, 2024)

Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach. - Xi Zheng 001; Aloysius K. Mok; Ruzica Piskac; Yong Jae Lee; Bhaskar Krishnamachari; Dakai Zhu 001; Oleg Sokolsky; Insup Lee 001 (SIGSOFT FSE Companion, 2024)

Computer Vision on the Edge: Individual Cattle Identification in Real-time with ReadMyCow System. - Moniek Smink; Haotian Liu; Dörte Döpfer; Yong Jae Lee (WACV, 2024)

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. - Yichen Xie 002; Hongge Chen; Gregory P. Meyer; Yong Jae Lee; Eric M. Wolff; Masayoshi Tomizuka; Wei Zhan; Yuning Chai; Xin Huang (CoRR, 2024)

LLM Inference Unveiled: Survey and Roofline Model Insights. - Zhihang Yuan; Yuzhang Shang; Yang Zhou; Zhen Dong 003; Zhe Zhou 002; Chenhao Xue; Bingzhe Wu; Zhikai Li; Qingyi Gu; Yong Jae Lee; Yan Yan 002; Beidi Chen; et al. (CoRR, 2024)

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. - Yuzhang Shang; Mu Cai; Bingxin Xu; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. - Yuzhang Shang; Bingxin Xu; Weitai Kang; Mu Cai; Yuheng Li; Zehao Wen; Zhen Dong 003; Kurt Keutzer; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. - Jianrui Zhang; Mu Cai; Yong Jae Lee (CoRR, 2024)

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. - Mu Cai; Reuben Tan; Jianrui Zhang; Bocheng Zou; Kai Zhang 039; Feng Yao; Fangrui Zhu; Jing Gu; Yiwu Zhong; Yuzhang Shang; Yao Dou; Jaden Park; et al. (CoRR, 2024)

On the Effectiveness of Dataset Alignment for Fake Image Detection. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (CoRR, 2024)

Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. - Zeyi Huang; Yuyang Ji; Xiaofang Wang; Nikhil Mehta 002; Tong Xiao; Donghyun Lee 004; Sigmund Vanvalkenburgh; Shengxin Zha; Bolin Lai; Licheng Yu; Ning Zhang; Yong Jae Lee; et al. (CVPR, 2025)

Yo'Chameleon: Personalized Vision and Language Generation. - Thao Nguyen; Krishna Kumar Singh; Jing Shi; Trung Bui; Yong Jae Lee; Yuheng Li (CVPR, 2025)

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. - Xiang Li 109; Cristina Mata; Jongwoo Park 003; Kumara Kahatapitiya; Yoo Sung Jang; Jinghuan Shang; Kanchana Ranasinghe; Ryan D. Burgert; Mu Cai; Yong Jae Lee; Michael S. Ryoo (ICLR, 2025)

Matryoshka Multimodal Models. - Mu Cai; Jianwei Yang; Jianfeng Gao 001; Yong Jae Lee (ICLR, 2025)

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (ICLR, 2025)

An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging. - Mu Cai; Zeyi Huang; Yuheng Li; Utkarsh Ojha; Haohan Wang; Yong Jae Lee (WACV, 2025)

Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. - Zhuoran Yu; Chenchen Zhu; Sean Culatana; Raghuraman Krishnamoorthi; Fanyi Xiao; Yong Jae Lee (Trans. Mach. Learn. Res., 2025)

LASER: Lip Landmark Assisted Speaker Detection for Robustness. - Le Thien Phuc Nguyen; Zhuoran Yu; Yong Jae Lee (CoRR, 2025)

Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection. - Anirudh Sundara Rajan; Yong Jae Lee (CoRR, 2025)

Do Vision Models Develop Human-Like Progressive Difficulty Understanding? - Zeyi Huang; Utkarsh Ojha; Yuyang Ji; Donghyun Lee 004; Yong Jae Lee (CoRR, 2025)

Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features. - Jewon Lee; Ki-Ung Song; Seungmin Yang; Donguk Lim; Jaeyeon Kim; Wooksu Shin; Bo-Kyeong Kim; Yong Jae Lee; Tae-Ho Kim (CoRR, 2025)

X-Fusion: Introducing New Modality to Frozen Large Language Models. - Sicheng Mo; Thao Nguyen; Xun Huang; Siddharth Srinivasan Iyer; Yijun Li 001; Yuchen Liu 002; Abhishek Tandon; Eli Shechtman; Krishna Kumar Singh; Yong Jae Lee; Bolei Zhou; Yuheng Li (CoRR, 2025)

YoChameleon: Personalized Vision and Language Generation. - Thao Nguyen; Krishna Kumar Singh; Jing Shi; Trung Bui; Yong Jae Lee; Yuheng Li (CoRR, 2025)

Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models. - Hyunsik Chae; Seungwoo Yoon; Jaden Park; Chloe Yewon Chun; Yongin Cho; Mu Cai; Yong Jae Lee; Ernest K. Ryu (CoRR, 2025)

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection. - Zeyi Huang; Yuyang Ji; Anirudh Sundara Rajan; Zefan Cai; Wen Xiao; Junjie Hu; Yong Jae Lee (CoRR, 2025)

UniTalk: Towards Universal Active Speaker Detection in Real World Scenarios. - Le Thien Phuc Nguyen; Zhuoran Yu; Khoa Quang Nhat Cao; Yuwei Guo 006; Tu Ho Manh Pham; Tuan Tai Nguyen; Toan Ngo Duc Vo; Lucas Poon; Soochahn Lee; Yong Jae Lee (CoRR, 2025)

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems. - Aniket Rege; Zinnia Nie; Mahesh Ramesh; Unmesh Raskar; Zhuoran Yu; Aditya Kusupati; Yong Jae Lee; Ramya Korlakai Vinayak (CoRR, 2025)

Benchmarking and Analyzing Generative Data for Visual Recognition. - Bo Li 080; Haotian Liu; Liangyu Chen 005; Yong Jae Lee; Chunyuan Li; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)