Yong Jae Lee - RankMe

211 papers A* 58A 13Journal 117Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Very Long Video Understanding. CoRR Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, Hyo Jin Kim
2026	J	`jnl`	MuRF: Unlocking the Multi-Scale Potential of Vision Foundation Models. CoRR Bocheng Zou, Mu Cai, Mark Stanley, Dingfu Lu, Yong Jae Lee
2026	J	`jnl`	Reasoning-Augmented Representations for Multimodal Retrieval. CoRR Jianrui Zhang, Anirudh Sundara Rajan, Brandon Han, Soochahn Lee, Sukanta Ganguly, Yong Jae Lee
2026	J	`jnl`	Spatially Grounded Long-Horizon Task Planning in the Wild. CoRR Sehun Jung, Hyunjee Song, Dong-Hee Kim, Reuben Tan, Jianfeng Gao, Yong Jae Lee, Donghyun Kim
2026	J	`jnl`	Unified Spatio-Temporal Token Scoring for Efficient Video VLMs. CoRR Jianrui Zhang, Yue Yang, Rohun Tripathi, Winson Han, Ranjay Krishna, Christopher Clark, Yong Jae Lee, Sangho Lee
2026	J	`jnl`	VideoWeave: A Data-Centric Approach for Efficient Video Understanding. CoRR Zane Durante, Silky Singh, Arpandeep Khatua, Shobhit Agarwal, Reuben Tan, Yong Jae Lee, Jianfeng Gao, Ehsan Adeli, Li Fei-Fei
2025	A*	`conf`	Aligned Datasets Improve Detection of Latent Diffusion-Generated Images. ICLR Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee
2025	A	`conf`	An Investigation on LLMs' Visual Understanding Ability Using SVG for Image-Text Bridging. WACV Mu Cai, Zeyi Huang, Yuheng Li, Utkarsh Ojha, Haohan Wang, Yong Jae Lee
2025	J	`jnl`	Benchmarking and Analyzing Generative Data for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu
2025	A*	`conf`	Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. CVPR Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu
2025	J	`jnl`	Building a Mind Palace: Structuring Environment-Grounded Semantic Graphs for Effective Long Video Analysis with LLMs. CoRR Zeyi Huang, Yuyang Ji, Xiaofang Wang, Nikhil Mehta, Tong Xiao, Donghyun Lee, Sigmund Vanvalkenburgh, Shengxin Zha, Bolin Lai, Licheng Yu, Ning Zhang, Yong Jae Lee, Miao Liu
2025	J	`jnl`	Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark. CoRR Xinxin Liu, Zhaopan Xu, Ming Li, Kai Wang, Yong Jae Lee, Yuzhang Shang
2025	A*	`conf`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-Based Autonomous Driving. ICRA Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2025	J	`jnl`	Contamination Detection for VLMs using Multi-Modal Semantic Perturbation. CoRR Jaden Park, Mu Cai, Feng Yao, Jingbo Shang, Soochahn Lee, Yong Jae Lee
2025	J	`jnl`	CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems. CoRR Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak
2025	J	`jnl`	Decomposing Complex Visual Comprehension into Atomic Visual Skills for Vision Language Models. CoRR Hyunsik Chae, Seungwoo Yoon, Jaden Park, Chloe Yewon Chun, Yongin Cho, Mu Cai, Yong Jae Lee, Ernest K. Ryu
2025	J	`jnl`	Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. Trans. Mach. Learn. Res. Zhuoran Yu, Chenchen Zhu, Sean Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee
2025	J	`jnl`	Do Vision Models Develop Human-Like Progressive Difficulty Understanding? CoRR Zeyi Huang, Utkarsh Ojha, Yuyang Ji, Donghyun Lee, Yong Jae Lee
2025	J	`jnl`	Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features. CoRR Jewon Lee, Ki-Ung Song, Seungmin Yang, Donguk Lim, Jaeyeon Kim, Wooksu Shin, Bo-Kyeong Kim, Yong Jae Lee, Tae-Ho Kim
2025	J	`jnl`	Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration. CoRR Sicheng Mo, Thao Nguyen, Richard Zhang, Nick Kolkin, Siddharth Srinivasan Iyer, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
2025	J	`jnl`	How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding. CoRR Zhuoran Yu, Yong Jae Lee
2025	J	`jnl`	LASER: Lip Landmark Assisted Speaker Detection for Robustness. CoRR Le Thien Phuc Nguyen, Zhuoran Yu, Yong Jae Lee
2025	A*	`conf`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. ICLR Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo
2025	J	`jnl`	Learning Compositionality from Multifaceted Synthetic Data for Language-based Object Detection. Int. J. Comput. Vis. Kwanyong Park, Sojung An, Yong Jae Lee, Donghyun Kim
2025	J	`jnl`	Low-Resolution Editing is All You Need for High-Resolution Editing. CoRR Junsung Lee, Hyunsoo Lee, Yong Jae Lee, Bohyung Han
2025	A*	`conf`	Matryoshka Multimodal Models. ICLR Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee
2025	J	`jnl`	Multimodal Reinforcement Learning with Agentic Verifier for AI Agents. CoRR Reuben Tan, Baolin Peng, Zhengyuan Yang, Hao Cheng, Oier Mees, Theodore Zhao, Andrea Tupini, Isar Meijier, Qianhui Wu, Yuncong Yang, Lars Liden, Yu Gu, Sheng Zhang, Xiaodong Liu, Lijuan Wang, Marc Pollefeys, Yong Jae Lee, Jianfeng Gao
2025	J	`jnl`	Real Deep Research for AI, Robotics and Beyond. CoRR Xueyan Zou, Jianglong Ye, Hao Zhang, Xiaoyu Xiang, Mingyu Ding, Zhaojing Yang, Yong Jae Lee, Zhuowen Tu, Sifei Liu, Xiaolong Wang
2025	J	`jnl`	Relational Visual Similarity. CoRR Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas I. Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li
2025	J	`jnl`	See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models. CoRR Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, Seungeun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee
2025	A*	`conf`	Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection. ICML Anirudh Sundara Rajan, Yong Jae Lee
2025	J	`jnl`	Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection. CoRR Anirudh Sundara Rajan, Yong Jae Lee
2025	J	`jnl`	Talk in Pieces, See in Whole: Disentangling and Hierarchical Aggregating Representations for Language-based Object Detection. CoRR Sojung An, Kwanyong Park, Yong Jae Lee, Donghyun Kim
2025	J	`jnl`	UniTalk: Towards Universal Active Speaker Detection in Real World Scenarios. CoRR Le Thien Phuc Nguyen, Zhuoran Yu, Khoa Quang Nhat Cao, Yuwei Guo, Tu Ho Manh Pham, Tuan Tai Nguyen, Toan Ngo Duc Vo, Lucas Poon, Soochahn Lee, Yong Jae Lee
2025	J	`jnl`	VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection. CoRR Zeyi Huang, Yuyang Ji, Anirudh Sundara Rajan, Zefan Cai, Wen Xiao, Junjie Hu, Yong Jae Lee
2025	J	`jnl`	X-Fusion: Introducing New Modality to Frozen Large Language Models. CoRR Sicheng Mo, Thao Nguyen, Xun Huang, Siddharth Srinivasan Iyer, Yijun Li, Yuchen Liu, Abhishek Tandon, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li
2025	A*	`conf`	Yo'Chameleon: Personalized Vision and Language Generation. CVPR Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li
2025	J	`jnl`	YoChameleon: Personalized Vision and Language Generation. CoRR Thao Nguyen, Krishna Kumar Singh, Jing Shi, Trung Bui, Yong Jae Lee, Yuheng Li
2024	J	`jnl`	Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2024	A	`conf`	Computer Vision on the Edge: Individual Cattle Identification in Real-time with ReadMyCow System. WACV Moniek Smink, Haotian Liu, Dörte Döpfer, Yong Jae Lee
2024	—	`conf`	CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. ACL (Findings) Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee
2024	J	`jnl`	CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. CoRR Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee
2024	A	`conf`	Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. IROS Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
2024	J	`jnl`	Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. CoRR Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
2024	A*	`conf`	Edit One for All: Interactive Batch Image Editing. CVPR Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
2024	J	`jnl`	Edit One for All: Interactive Batch Image Editing. CoRR Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
2024	A*	`conf`	Improved Baselines with Visual Instruction Tuning. CVPR Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee
2024	A*	`conf`	Interfacing Foundation Models' Embeddings. NeurIPS Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Junyi Wei, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang
2024	J	`jnl`	Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan
2024	—	`conf`	Investigating the Catastrophic Forgetting in Multimodal Large Language Model Fine-Tuning. CPAL Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2024	J	`jnl`	LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR Zhihang Yuan, Yuzhang Shang, Yang Zhou, Zhen Dong, Zhe Zhou, Chenhao Xue, Bingzhe Wu, Zhikai Li, Qingyi Gu, Yong Jae Lee, Yan Yan, Beidi Chen, Guangyu Sun, Kurt Keutzer
2024	J	`jnl`	LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan D. Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo
2024	J	`jnl`	LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
2024	—	`conf`	MATE: Meet At The Embedding - Connecting Images with Long Texts. EMNLP (Findings) Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024	J	`jnl`	MATE: Meet At The Embedding - Connecting Images with Long Texts. CoRR Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024	J	`jnl`	Matryoshka Multimodal Models. CoRR Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee
2024	J	`jnl`	On the Effectiveness of Dataset Alignment for Fake Image Detection. CoRR Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee
2024	—	`conf`	Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. ECCV (21) Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh
2024	J	`jnl`	Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. CoRR Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh
2024	J	`jnl`	TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang
2024	—	`conf`	Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach. SIGSOFT FSE Companion Xi Zheng, Aloysius K. Mok, Ruzica Piskac, Yong Jae Lee, Bhaskar Krishnamachari, Dakai Zhu, Oleg Sokolsky, Insup Lee
2024	A*	`conf`	VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. EMNLP Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee
2024	J	`jnl`	VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. CoRR Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee
2024	A*	`conf`	ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. CVPR Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2024	J	`jnl`	Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. CoRR Jianrui Zhang, Mu Cai, Yong Jae Lee
2024	A*	`conf`	Yo'LLaVA: Your Personalized Language and Vision Assistant. NeurIPS Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
2024	J	`jnl`	Yo'LLaVA: Your Personalized Language and Vision Assistant. CoRR Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
2023	A*	`conf`	A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. ICCV Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
2023	J	`jnl`	A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. CoRR Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
2023	J	`jnl`	Benchmarking and Analyzing Generative Data for Visual Recognition. CoRR Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu
2023	J	`jnl`	Delving Deeper into Anti-Aliasing in ConvNets. Int. J. Comput. Vis. Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee
2023	J	`jnl`	Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. CoRR Zhuoran Yu, Chenchen Zhu, Sean Chang Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee
2023	—	`conf`	Exploring the Capabilities of a General-Purpose Robotic Arm in Chess Gameplay. Humanoids Kazuki Shin, Sankalp Yamsani, Roman Mineyev, Hongyu Chen, Nitish Gandi, Yong Jae Lee, Joohyung Kim
2023	A*	`conf`	GLIGEN: Open-Set Grounded Text-to-Image Generation. CVPR Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
2023	J	`jnl`	GLIGEN: Open-Set Grounded Text-to-Image Generation. CoRR Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
2023	A*	`conf`	Generalized Decoding for Pixel, Image, and Language. CVPR Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao
2023	J	`jnl`	Generate Anything Anywhere in Any Scene. CoRR Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee
2023	J	`jnl`	Improved Baselines with Visual Instruction Tuning. CoRR Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee
2023	A*	`conf`	InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. ICLR Zhuoran Yu, Yin Li, Yong Jae Lee
2023	J	`jnl`	InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. CoRR Zhuoran Yu, Yin Li, Yong Jae Lee
2023	J	`jnl`	Interfacing Foundation Models' Embeddings. CoRR Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang
2023	J	`jnl`	Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
2023	A*	`conf`	Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023	J	`jnl`	Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
2023	J	`jnl`	Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. CoRR Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee
2023	J	`jnl`	Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2023	A*	`conf`	Segment Everything Everywhere All at Once. NeurIPS Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
2023	J	`jnl`	Segment Everything Everywhere All at Once. CoRR Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee
2023	J	`jnl`	Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach. CoRR Xi Zheng, Aloysius K. Mok, Ruzica Piskac, Yong Jae Lee, Bhaskar Krishnamachari, Dakai Zhu, Oleg Sokolsky, Insup Lee
2023	A*	`conf`	Towards Universal Fake Image Detectors that Generalize Across Generative Models. CVPR Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2023	J	`jnl`	Towards Universal Fake Image Detectors that Generalize Across Generative Models. CoRR Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2023	A*	`conf`	Visual Instruction Inversion: Image Editing via Image Prompting. NeurIPS Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
2023	J	`jnl`	Visual Instruction Inversion: Image Editing via Visual Prompting. CoRR Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
2023	A*	`conf`	Visual Instruction Tuning. NeurIPS Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
2023	J	`jnl`	Visual Instruction Tuning. CoRR Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
2023	A*	`conf`	What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
2022	—	`conf`	Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2022	J	`jnl`	Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2022	A*	`conf`	ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao
2022	J	`jnl`	ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
2022	J	`jnl`	End-to-End Instance Edge Detection. CoRR Xueyan Zou, Haotian Liu, Yong Jae Lee
2022	J	`jnl`	EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning. CoRR Zhuoran Yu, Yin Li, Yong Jae Lee
2022	A	`conf`	Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. WACV Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
2022	J	`jnl`	Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. CoRR Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang
2022	A*	`conf`	GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
2022	J	`jnl`	GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
2022	J	`jnl`	Generalized Decoding for Pixel, Image, and Language. CoRR Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao
2022	J	`jnl`	Masked Discrimination for Self-Supervised Learning on Point Clouds. CoRR Haotian Liu, Mu Cai, Yong Jae Lee
2022	—	`conf`	Masked Discrimination for Self-supervised Learning on Point Clouds. ECCV (2) Haotian Liu, Mu Cai, Yong Jae Lee
2022	A*	`conf`	The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. CVPR Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
2022	J	`jnl`	The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization. CoRR Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
2022	A	`conf`	Toward learning human-aligned cross-domain robust models by countering misaligned features. UAI Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
2022	J	`jnl`	What Knowledge Gets Distilled in Knowledge Distillation? CoRR Utkarsh Ojha, Yuheng Li, Yong Jae Lee
2022	J	`jnl`	YOLACT++ Better Real-Time Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
2021	A*	`conf`	Collaging Class-specific GANs for Semantic Image Synthesis. ICCV Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2021	J	`jnl`	Collaging Class-specific GANs for Semantic Image Synthesis. CoRR Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
2021	J	`jnl`	Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. CoRR Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
2021	A*	`conf`	Few-Shot Image Generation via Cross-Domain Correspondence. CVPR Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021	J	`jnl`	Few-shot Image Generation via Cross-domain Correspondence. CoRR Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
2021	J	`jnl`	Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. CoRR Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021	A*	`conf`	Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
2021	A	`conf`	PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee
2021	A*	`conf`	Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
2021	J	`jnl`	Progressive Temporal Feature Alignment Network for Video Inpainting. CoRR Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
2021	—	`conf`	Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes. ICCVW Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
2021	A	`conf`	SinGAN-GIF: Learning a Generative Video Model from a Single GIF. WACV Rajat Arora, Yong Jae Lee
2021	A*	`conf`	YolactEdge: Real-time Instance Segmentation on the Edge. ICRA Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee
2020	A	`conf`	Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. WACV Maheen Rashid, Hedvig Kjellström, Yong Jae Lee
2020	J	`jnl`	Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. CoRR Maheen Rashid, Hedvig Kjellström, Yong Jae Lee
2020	J	`jnl`	Audiovisual SlowFast Networks for Video Recognition. CoRR Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer
2020	A*	`conf`	Boxer: Preventing fraud by scanning credit cards. USENIX Security Symposium Zain ul Abi Din, Hari Venugopalan, Jaime Park, Andy Li, Weisu Yin, Haohui Mai, Yong Jae Lee, Steven Liu, Samuel T. King
2020	A	`conf`	Delving Deeper into Anti-aliasing in ConvNets. BMVC Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
2020	J	`jnl`	Delving Deeper into Anti-aliasing in ConvNets. CoRR Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
2020	A*	`conf`	Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020	J	`jnl`	Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
2020	A*	`conf`	Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2020	A*	`conf`	Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020	J	`jnl`	Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
2020	A*	`conf`	MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CVPR Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2020	—	`conf`	Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
2020	J	`jnl`	YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS). CoRR Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee
2019	J	`jnl`	A 16-Gb, 18-Gb/s/pin GDDR6 DRAM With Per-Bit Trainable Single-Ended DFE and PLL-Less Clocking. IEEE J. Solid State Circuits Young-Ju Kim, 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, Kyung-Bae Park, Seung-Hoon Oh, Sang-Yong Lee, Ji-Hak Yu, Ki-Hun Yu, Chul-Hee Jeon, Sang-Sun Kim, Hyun-Soo Park, Jeong-Woo Lee, Seung-Hyun Cho, Keon-woo Park, Yong-Jun Kim, Young-Hun Seo, Chang-Ho Shin, Chan-Yong Lee, Sam-Young Bang, Youn-Sik Park, Seouk-Kyu Choi, Byung-Cheol Kim, Gong-Heum Han, Seung-Jun Bae, Hyuk-Jun Kwon, Jung-Hwan Choi, Young-Soo Sohn, Kwang-Il Park, Seong-Jin Jang, Gyo-Young Jin
2019	J	`jnl`	Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
2019	A*	`conf`	FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CVPR Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019	A*	`conf`	HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. CVPR Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang
2019	J	`jnl`	HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds. CoRR Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang
2019	A*	`conf`	Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos. ICCV Fanyi Xiao, Haotian Liu, Yong Jae Lee
2019	J	`jnl`	MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CoRR Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2019	J	`jnl`	Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
2019	J	`jnl`	YOLACT++: Better Real-time Instance Segmentation. CoRR Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
2019	A*	`conf`	YOLACT: Real-Time Instance Segmentation. ICCV Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
2019	J	`jnl`	YOLACT: Real-time Instance Segmentation. CoRR Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
2019	A*	`conf`	You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. CVPR Krishna Kumar Singh, Yong Jae Lee
2018	—	`conf`	A 16Gb 18Gb/S/pin GDDR6 DRAM with per-bit trainable single-ended DFE and PLL-less clocking. ISSCC Young-Ju Kim, 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, Kyung-Bae Park, Jung-Bum Shin, Jong-Ho Lee, Seung-Hoon Oh, Sang-Yong Lee, Ji-Hak Yu, Ji-Suk Kwon, Ki-Hun Yu, Chul-Hee Jeon, Sang-Sun Kim, Min-Woo Won, Gun-hee Cho, Hyun-Soo Park, Hyung-Kyu Kim, Jeong-Woo Lee, Seung-Hyun Cho, Keon-woo Park, Jae-Koo Park, Yong Jae Lee, Yong-Jun Kim, Young-Hun Seo, Beob-Rae Cho, Chang-Ho Shin, Chan-Yong Lee, Youngseok Lee, Yoon-Gue Song, Sam-Young Bang, Youn-Sik Park, Seouk-Kyu Choi, Byeong-Cheol Kim, Gong-Heum Han, Seung-Jun Bae, Hyuk-Jun Kwon, Jung-Hwan Choi, Young-Soo Sohn, Kwang-Il Park, Seong-Jin Jang
2018	A*	`conf`	A Visual Attention Grounding Neural Model for Multimodal Machine Translation. EMNLP Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu
2018	J	`jnl`	A Visual Attention Grounding Neural Model for Multimodal Machine Translation. CoRR Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu
2018	A*	`conf`	Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery. CVPR Zhongzheng Ren, Yong Jae Lee
2018	—	`conf`	DOCK: Detecting Objects by Transferring Common-Sense Knowledge. ECCV (13) Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018	J	`jnl`	FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CoRR Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
2018	J	`jnl`	Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. CoRR Krishna Kumar Singh, Hao Yu, Aron Sarmasi, Gautam Pradeep, Yong Jae Lee
2018	—	`conf`	Learning to Anonymize Faces for Privacy Preserving Action Detection. ECCV (1) Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
2018	J	`jnl`	Learning to Anonymize Faces for Privacy Preserving Action Detection. CoRR Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo
2018	J	`jnl`	Transferring Common-Sense Knowledge for Object Detection. CoRR Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
2018	—	`conf`	Video Object Detection with an Aligned Spatial-Temporal Memory. ECCV (8) Fanyi Xiao, Yong Jae Lee
2018	A	`conf`	Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks. WSDM Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
2017	J	`jnl`	Analyzing the Adoption and Cascading Process of OSN-Based Gifting Applications: An Empirical Study. ACM Trans. Web Mohammad Rezaur Rahman, Jinyoung Han, Yong Jae Lee, Chen-Nee Chuah
2017	J	`jnl`	Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery. CoRR Zhongzheng Ren, Yong Jae Lee
2017	A*	`conf`	Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization. ICCV Krishna Kumar Singh, Yong Jae Lee
2017	J	`jnl`	Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization. CoRR Krishna Kumar Singh, Yong Jae Lee
2017	A*	`conf`	Identifying First-Person Camera Wearers in Third-Person Videos. CVPR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	J	`jnl`	Identifying First-person Camera Wearers in Third-person Videos. CoRR Chenyou Fan, Jangwon Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo
2017	A*	`conf`	Interspecies Knowledge Transfer for Facial Keypoint Detection. CVPR Maheen Rashid, Xiuye Gu, Yong Jae Lee
2017	J	`jnl`	Interspecies Knowledge Transfer for Facial Keypoint Detection. CoRR Maheen Rashid, Xiuye Gu, Yong Jae Lee
2017	J	`jnl`	Spatial-Temporal Memory Networks for Video Object Detection. CoRR Fanyi Xiao, Yong Jae Lee
2017	A*	`conf`	Weakly-Supervised Visual Grounding of Phrases with Linguistic Structures. CVPR Fanyi Xiao, Leonid Sigal, Yong Jae Lee
2017	J	`jnl`	Weakly-supervised Visual Grounding of Phrases with Linguistic Structures. CoRR Fanyi Xiao, Leonid Sigal, Yong Jae Lee
2017	A	`conf`	Who Moved My Cheese? Automatic Annotation of Rodent Behaviors with Convolutional Neural Networks. WACV Zhongzheng Ren, Adriana Noronha Annie, Vogel Ciernia, Yong Jae Lee
2017	J	`jnl`	Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks. CoRR Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
2016	—	`ch.`	Discovering Mid-level Visual Connections in Space and Time. Large-Scale Visual Geo-Localization Yong Jae Lee, Alexei A. Efros, Martial Hebert
2016	—	`conf`	End-to-End Localization and Ranking for Relative Attributes. ECCV (6) Krishna Kumar Singh, Yong Jae Lee
2016	J	`jnl`	End-to-End Localization and Ranking for Relative Attributes. CoRR Krishna Kumar Singh, Yong Jae Lee
2016	A*	`conf`	Track and Segment: An Iterative Unsupervised Approach for Video Object Proposals. CVPR Fanyi Xiao, Yong Jae Lee
2016	A*	`conf`	Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. CVPR Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
2016	J	`jnl`	Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection. CoRR Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
2015	A*	`conf`	Discovering the Spatial Extent of Relative Attributes. ICCV Fanyi Xiao, Yong Jae Lee
2015	A*	`conf`	FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences. CVPR Tinghui Zhou, Yong Jae Lee, Stella X. Yu, Alexei A. Efros
2015	J	`jnl`	Predicting Important Objects for Egocentric Video Summarization. CoRR Yong Jae Lee, Kristen Grauman
2015	J	`jnl`	Predicting Important Objects for Egocentric Video Summarization. Int. J. Comput. Vis. Yong Jae Lee, Kristen Grauman
2014	—	`conf`	An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision. CVPR Workshops Steve Mann, Kris M. Kitani, Yong Jae Lee, Michael S. Ryoo, Alireza Fathi
2014	J	`jnl`	AverageExplorer: interactive exploration and alignment of visual data collections. ACM Trans. Graph. Jun-Yan Zhu, Yong Jae Lee, Alexei A. Efros
2014	J	`jnl`	Development of a Monitoring System for Multichannel Cables Using TDR. IEEE Trans. Instrum. Meas. Sang Min Kim, Jin Ho Sung, Woong Park, Jae Hyoun Ha, Yong Jae Lee, Heung Bum Kim
2014	—	`ed.`	Human Behavior Understanding - 5th International Workshop, HBU 2014, Zurich, Switzerland, September 12, 2014. Proceedings HBU Hyun Soo Park, Albert Ali Salah, Yong Jae Lee, Louis-Philippe Morency, Yaser Sheikh, Rita Cucchiara
2014	—	`conf`	Weakly-supervised Discovery of Visual Pattern Configurations. NIPS Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
2014	J	`jnl`	Weakly-supervised Discovery of Visual Pattern Configurations. CoRR Hyun Oh Song, Yong Jae Lee, Stefanie Jegelka, Trevor Darrell
2013	A*	`conf`	Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time. ICCV Yong Jae Lee, Alexei A. Efros, Martial Hebert
2012	A*	`conf`	Discovering important people and objects for egocentric video summarization. CVPR Yong Jae Lee, Joydeep Ghosh, Kristen Grauman
2012	J	`jnl`	Object-Graphs for Context-Aware Visual Category Discovery. IEEE Trans. Pattern Anal. Mach. Intell. Yong Jae Lee, Kristen Grauman
2011	A	`conf`	Face Discovery with Social Context. BMVC Yong Jae Lee, Kristen Grauman
2011	—	`conf`	Face Tracking for Augmented Reality Game Interface and Brand Placement. UCMA (2) Yong Jae Lee, Young Jae Lee
2011	A*	`conf`	Key-segments for video object segmentation. ICCV Yong Jae Lee, Jaechul Kim, Kristen Grauman
2011	A*	`conf`	Learning the easy things first: Self-paced visual category discovery. CVPR Yong Jae Lee, Kristen Grauman
2011	J	`jnl`	ShadowDraw: real-time user guidance for freehand drawing. ACM Trans. Graph. Yong Jae Lee, C. Lawrence Zitnick, Michael F. Cohen
2010	A*	`conf`	Collect-cut: Segmentation with top-down cues discovered in multi-object images. CVPR Yong Jae Lee, Kristen Grauman
2010	—	`conf`	Interface of Augmented Reality Game Using Face Tracking and Its Application to Advertising. SUComS Young Jae Lee, Yong Jae Lee
2010	A*	`conf`	Object-graphs for context-aware category discovery. CVPR Yong Jae Lee, Kristen Grauman
2010	J	`jnl`	Simple, extensible and flexible random key predistribution schemes for wireless sensor networks using reusable key pools. J. Intell. Manuf. Albert Levi, Sinan Emre Tasçi, Young Jae Lee, Yong Jae Lee, Ersoy Bayramoglu, Murat Ergun
2009	J	`jnl`	Foreground Focus: Unsupervised Learning from Partially Matching Images. Int. J. Comput. Vis. Yong Jae Lee, Kristen Grauman
2009	A*	`conf`	Shape discovery from unlabeled image collections. CVPR Yong Jae Lee, Kristen Grauman
2008	A	`conf`	Foreground Focus: Finding Meaningful Features in Unlabeled Images. BMVC Yong Jae Lee, Kristen Grauman
2008	—	`conf`	Ray-based Color Image Segmentation. CRV Changhai Xu, Yong Jae Lee, Benjamin Kuipers
2007	—	`conf`	The Analysis of PPL Attention Effects in the Screen of Multimedia Contents. FGCN (2) Young Jae Lee, Yong Jae Lee