Yong Jae Lee

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 133

Top Venues

Publications

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
LLM Inference Unveiled: Survey and Roofline Model Insights. CoRR (2024)
Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy. CoRR (2024)
Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. CoRR (2024)
Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee
Edit One for All: Interactive Batch Image Editing. CoRR (2024)
Moniek Smink, Haotian Liu, Dörte Döpfer, Yong Jae Lee
Computer Vision on the Edge: Individual Cattle Identification in Real-time with ReadMyCow System. WACV (2024)
Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
MATE: Meet At The Embedding - Connecting Images with Long Texts. CoRR (2024)
Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR (2024)
Xi Zheng, Aloysius K. Mok, Ruzica Piskac, Yong Jae Lee, Bhaskar Krishnamachari, Dakai Zhu, Oleg Sokolsky, Insup Lee
Testing Learning-Enabled Cyber-Physical Systems with Large-Language Models: A Formal Approach. SIGSOFT FSE Companion (2024)
Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
Yo'LLaVA: Your Personalized Language and Vision Assistant. CoRR (2024)
Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR (2024)
Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. ACL (Findings) (2024)
Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee
Matryoshka Multimodal Models. CoRR (2024)
Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. CoRR (2024)
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
Investigating the Catastrophic Forgetting in Multimodal Large Language Models. CoRR (2023)
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee
Segment Everything Everywhere All at Once. NeurIPS (2023)
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR (2023)
Zhuoran Yu, Chenchen Zhu, Sean Chang Culatana, Raghuraman Krishnamoorthi, Fanyi Xiao, Yong Jae Lee
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images. CoRR (2023)
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
Generalized Decoding for Pixel, Image, and Language. CVPR (2023)
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
Towards Universal Fake Image Detectors that Generalize Across Generative Models. CVPR (2023)
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. ICCV (2023)
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
Towards Universal Fake Image Detectors that Generalize Across Generative Models. CoRR (2023)
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
Visual Instruction Inversion: Image Editing via Visual Prompting. CoRR (2023)
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
GLIGEN: Open-Set Grounded Text-to-Image Generation. CoRR (2023)
Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee
GLIGEN: Open-Set Grounded Text-to-Image Generation. CVPR (2023)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee
Delving Deeper into Anti-Aliasing in ConvNets. Int. J. Comput. Vis. 131 (1) (2023)
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
Visual Instruction Tuning. NeurIPS (2023)
Kazuki Shin, Sankalp Yamsani, Roman Mineyev, Hongyu Chen, Nitish Gandi, Yong Jae Lee, Joohyung Kim
Exploring the Capabilities of a General-Purpose Robotic Arm in Chess Gameplay. Humanoids (2023)
Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. CoRR (2023)
Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee
Visual Instruction Tuning. CoRR (2023)
Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee
Generate Anything Anywhere in Any Scene. CoRR (2023)
Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee
What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS (2023)
Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR (2023)
Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee
Improved Baselines with Visual Instruction Tuning. CoRR (2023)
Zhuoran Yu, Yin Li, Yong Jae Lee
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. CoRR (2023)
Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR (2023)
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee
Segment Everything Everywhere All at Once. CoRR (2023)
Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee
Visual Instruction Inversion: Image Editing via Image Prompting. NeurIPS (2023)
Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. CoRR (2023)
Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu
Benchmarking and Analyzing Generative Data for Visual Recognition. CoRR (2023)
Xi Zheng, Aloysius K. Mok, Ruzica Piskac, Yong Jae Lee, Bhaskar Krishnamachari, Dakai Zhu, Oleg Sokolsky, Insup Lee
Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach. CoRR (2023)
Zhuoran Yu, Yin Li, Yong Jae Lee
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. ICLR (2023)
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
Interfacing Foundation Models' Embeddings. CoRR (2023)
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR (2022)
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR (2022)
Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. WACV (2022)
Zhuoran Yu, Yin Li, Yong Jae Lee
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning. CoRR (2022)
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
YOLACT++ Better Real-Time Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) (2022)
Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR (2022)
Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. CoRR (2022)
Utkarsh Ojha, Yuheng Li, Yong Jae Lee
What Knowledge Gets Distilled in Knowledge Distillation? CoRR (2022)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR (2022)
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
Generalized Decoding for Pixel, Image, and Language. CoRR (2022)
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. CVPR (2022)
Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization. CoRR (2022)
Haotian Liu, Mu Cai, Yong Jae Lee
Masked Discrimination for Self-Supervised Learning on Point Clouds. CoRR (2022)
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS (2022)
Haotian Liu, Mu Cai, Yong Jae Lee
Masked Discrimination for Self-supervised Learning on Point Clouds. ECCV (2) (2022)
Xueyan Zou, Haotian Liu, Yong Jae Lee
End-to-End Instance Edge Detection. CoRR (2022)
Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing
Toward learning human-aligned cross-domain robust models by countering misaligned features. UAI (2022)
Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee
YolactEdge: Real-time Instance Segmentation on the Edge. ICRA (2021)
Rajat Arora, Yong Jae Lee
SinGAN-GIF: Learning a Generative Video Model from a Single GIF. WACV (2021)
Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC (2021)
Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR (2021)
Yangming Wen, Krishna Kumar Singh, Markham Anderson, Wei-Pang Jan, Yong Jae Lee
Seeing the Unseen: Predicting the First-Person Camera Wearer's Location and Pose in Third-Person Scenes. ICCVW (2021)
Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee
Progressive Temporal Feature Alignment Network for Video Inpainting. CoRR (2021)
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. CoRR (2021)
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR (2021)
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
Few-shot Image Generation via Cross-domain Correspondence. CoRR (2021)
Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang
Few-Shot Image Generation via Cross-Domain Correspondence. CVPR (2021)
Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation. CoRR (2021)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Collaging Class-specific GANs for Semantic Image Synthesis. ICCV (2021)
Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh
Collaging Class-specific GANs for Semantic Image Synthesis. CoRR (2021)
Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. CVPR (2020)
Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer
Audiovisual SlowFast Networks for Video Recognition. CoRR (2020)
Maheen Rashid, Hedvig Kjellström, Yong Jae Lee
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. CoRR (2020)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
Delving Deeper into Anti-aliasing in ConvNets. BMVC (2020)
Zain ul Abi Din, Hari Venugopalan, Jaime Park, Andy Li, Weisu Yin, Haohui Mai, Yong Jae Lee, Steven Liu, Samuel T. King
Boxer: Preventing fraud by scanning credit cards. USENIX Security Symposium (2020)
Maheen Rashid, Hedvig Kjellström, Yong Jae Lee
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. WACV (2020)
Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee
Delving Deeper into Anti-aliasing in ConvNets. CoRR (2020)
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS (2020)
Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee
YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS). CoRR (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CVPR (2020)
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CVPR (2020)
Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Yong Jae Lee, Alexander G. Schwing, Jan Kautz
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection. CoRR (2020)
Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli, Deepti Ghadiyaram
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias. CoRR (2020)
Fanyi Xiao, Haotian Liu, Yong Jae Lee
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos. ICCV (2019)
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CVPR (2019)
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, ChanYong 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
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 54 (1) (2019)
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
YOLACT: Real-time Instance Segmentation. CoRR (2019)
Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR (2019)
Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR (2019)
Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds. CoRR (2019)
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
YOLACT++: Better Real-time Instance Segmentation. CoRR (2019)
Xiuye Gu, Yijie Wang, Chongruo Wu, Yong Jae Lee, Panqu Wang
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds. CVPR (2019)
Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CoRR (2019)
Krishna Kumar Singh, Yong Jae Lee
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. CVPR (2019)
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee
YOLACT: Real-Time Instance Segmentation. ICCV (2019)
Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee
Transferring Common-Sense Knowledge for Object Detection. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Jae Lee