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ORCIDYong Jae Lee
Person information
- affiliation: University of Wisconsin, Madison, USA
- affiliation (former): University of California, Davis, CA, USA
- affiliation (PhD 2012): University of Texas at Austin, USA
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2020 – today
- 2024
[c80]Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee:
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. ACL (Findings) 2024: 15481-15495- [c79]Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee:
Edit One for All: Interactive Batch Image Editing. CVPR 2024: 8271-8280 - [c78]Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. CVPR 2024: 12914-12923 - [c77]Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee:
Improved Baselines with Visual Instruction Tuning. CVPR 2024: 26286-26296 - [c76]Yuheng Li
, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. ECCV (21) 2024: 405-422 - [c75]Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim:
MATE: Meet At The Embedding - Connecting Images with Long Texts. EMNLP (Findings) 2024: 1659-1672 - [c74]Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee:
VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models. EMNLP 2024: 3647-3659 - [c73]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: 467-471 - [c72]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: 7041-7050 - [i76]Thao Nguyen, Utkarsh Ojha, Yuheng Li, Haotian Liu, Yong Jae Lee:
Edit One for All: Interactive Batch Image Editing. CoRR abs/2401.10219 (2024) - [i75]Jianrui Zhang, Mu Cai, Tengyang Xie, Yong Jae Lee:
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples. CoRR abs/2402.13254 (2024) - [i74]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 abs/2402.15583 (2024) - [i73]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 abs/2402.16363 (2024) - [i72]Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan:
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR abs/2403.15388 (2024) - [i71]Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee:
Matryoshka Multimodal Models. CoRR abs/2405.17430 (2024) - [i70]Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee:
Yo'LLaVA: Your Personalized Language and Vision Assistant. CoRR abs/2406.09400 (2024) - [i69]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 abs/2406.20095 (2024) - [i68]Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim:
MATE: Meet At The Embedding - Connecting Images with Long Texts. CoRR abs/2407.09541 (2024) - [i67]Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee:
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation. CoRR abs/2407.10972 (2024) - [i66]Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang:
Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds. CoRR abs/2409.06827 (2024) - [i65]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i64]Yuheng Li, Haotian Liu, Mu Cai, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh:
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment. CoRR abs/2410.00905 (2024) - [i63]Jianrui Zhang, Mu Cai, Yong Jae Lee:
Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos. CoRR abs/2410.02763 (2024) - [i62]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:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR abs/2410.10818 (2024) - [i61]Anirudh Sundara Rajan, Utkarsh Ojha, Jedidiah Schloesser, Yong Jae Lee:
On the Effectiveness of Dataset Alignment for Fake Image Detection. CoRR abs/2410.11835 (2024) - 2023
- [j11]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yuheng Li, Yong Jae Lee:
Delving Deeper into Anti-Aliasing in ConvNets. Int. J. Comput. Vis. 131(1): 67-81 (2023) - [c71]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: 15116-15127 - [c70]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: 15148-15158 - [c69]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: 22511-22521 - [c68]Utkarsh Ojha, Yuheng Li, Yong Jae Lee:
Towards Universal Fake Image Detectors that Generalize Across Generative Models. CVPR 2023: 24480-24489 - [c67]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: 1-8 - [c66]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: 11651-11661 - [c65]Zhuoran Yu, Yin Li, Yong Jae Lee:
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. ICLR 2023 - [c64]Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee:
Visual Instruction Tuning. NeurIPS 2023 - [c63]Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee:
Visual Instruction Inversion: Image Editing via Image Prompting. NeurIPS 2023 - [c62]Utkarsh Ojha, Yuheng Li, Anirudh Sundara Rajan, Yingyu Liang, Yong Jae Lee:
What Knowledge Gets Distilled in Knowledge Distillation? NeurIPS 2023 - [c61]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 - [i60]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 abs/2301.07093 (2023) - [i59]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR abs/2301.07094 (2023) - [i58]Utkarsh Ojha, Yuheng Li, Yong Jae Lee:
Towards Universal Fake Image Detectors that Generalize Across Generative Models. CoRR abs/2302.10174 (2023) - [i57]Zhuoran Yu, Yin Li, Yong Jae Lee:
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning. CoRR abs/2303.07269 (2023) - [i56]Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee:
Segment Everything Everywhere All at Once. CoRR abs/2304.06718 (2023) - [i55]Haotian Liu, Chunyuan Li, Qingyang Wu, Yong Jae Lee:
Visual Instruction Tuning. CoRR abs/2304.08485 (2023) - [i54]Mu Cai, Zeyi Huang, Yuheng Li, Haohan Wang, Yong Jae Lee:
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image Understanding. CoRR abs/2306.06094 (2023) - [i53]Yuheng Li, Haotian Liu, Yangming Wen, Yong Jae Lee:
Generate Anything Anywhere in Any Scene. CoRR abs/2306.17154 (2023) - [i52]Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu:
Benchmarking and Analyzing Generative Data for Visual Recognition. CoRR abs/2307.13697 (2023) - [i51]Thao Nguyen, Yuheng Li, Utkarsh Ojha, Yong Jae Lee:
Visual Instruction Inversion: Image Editing via Visual Prompting. CoRR abs/2307.14331 (2023) - [i50]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 abs/2309.10313 (2023) - [i49]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 abs/2309.12530 (2023) - [i48]Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee:
Improved Baselines with Visual Instruction Tuning. CoRR abs/2310.03744 (2023) - [i47]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 abs/2311.07377 (2023) - [i46]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 abs/2312.00784 (2023) - [i45]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 abs/2312.02253 (2023) - [i44]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 abs/2312.07532 (2023) - 2022
- [j10]Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT++ Better Real-Time Instance Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1108-1121 (2022) - [c60]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: 9621-9631 - [c59]Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR 2022: 18419-18428 - [c58]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. ECCV (16) 2022: 334-351 - [c57]Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-supervised Learning on Point Clouds. ECCV (2) 2022: 657-675 - [c56]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 - [c55]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: 2075-2084 - [c54]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: 152-162 - [i43]Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-Supervised Learning on Point Clouds. CoRR abs/2203.11183 (2022) - [i42]Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR abs/2203.14954 (2022) - [i41]Xueyan Zou, Haotian Liu, Yong Jae Lee:
End-to-End Instance Edge Detection. CoRR abs/2204.02898 (2022) - [i40]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 abs/2204.04384 (2022) - [i39]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 abs/2204.08790 (2022) - [i38]Utkarsh Ojha, Yuheng Li, Yong Jae Lee:
What Knowledge Gets Distilled in Knowledge Distillation? CoRR abs/2205.16004 (2022) - [i37]Zhuoran Yu, Yin Li, Yong Jae Lee:
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning. CoRR abs/2206.06359 (2022) - [i36]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Contrastive Learning for Diverse Disentangled Foreground Generation. CoRR abs/2211.02707 (2022) - [i35]Minh-Long Luu, Zeyi Huang, Eric P. Xing, Yong Jae Lee, Haohan Wang:
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding. CoRR abs/2212.04875 (2022) - [i34]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 abs/2212.11270 (2022) - 2021
- [c53]Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee:
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC 2021: 338 - [c52]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: 10743-10752 - [c51]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR 2021: 16448-16457 - [c50]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. ICCV 2021: 14398-14407 - [c49]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: 3439-3448 - [c48]Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR 2021 - [c47]Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee:
YolactEdge: Real-time Instance Segmentation on the Edge. ICRA 2021: 9579-9585 - [c46]Rajat Arora, Yong Jae Lee:
SinGAN-GIF: Learning a Generative Video Model from a Single GIF. WACV 2021: 1309-1318 - [i33]Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains. CoRR abs/2104.02052 (2021) - [i32]Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CoRR abs/2104.03507 (2021) - [i31]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 abs/2104.06820 (2021) - [i30]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 abs/2108.13258 (2021) - [i29]Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh:
Collaging Class-specific GANs for Semantic Image Synthesis. CoRR abs/2110.04281 (2021) - 2020
- [c45]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets. BMVC 2020 - [c44]Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CVPR 2020: 8036-8045 - [c43]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: 10595-10604 - [c42]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: 11067-11075 - [c41]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-Conditioned Anonymization and Deanonymization with Face Identity Transformers. ECCV (23) 2020: 727-743 - [c40]Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data. NeurIPS 2020 - [c39]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: 1571-1588 - [c38]Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. WACV 2020: 604-613 - [i28]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 abs/2001.03152 (2020) - [i27]Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer:
Audiovisual SlowFast Networks for Video Recognition. CoRR abs/2001.08740 (2020) - [i26]Maheen Rashid, Hedvig Kjellström, Yong Jae Lee:
Action Graphs: Weakly-supervised Action Localization with Graph Convolution Networks. CoRR abs/2002.01449 (2020) - [i25]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 abs/2004.04725 (2020) - [i24]Xueyan Zou, Fanyi Xiao, Zhiding Yu, Yong Jae Lee:
Delving Deeper into Anti-aliasing in ConvNets. CoRR abs/2008.09604 (2020) - [i23]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 abs/2012.12259 (2020)
2010 – 2019
- 2019
- [j9]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): 197-209 (2019) - [c37]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: 3254-3263 - [c36]Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery. CVPR 2019: 6490-6499 - [c35]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: 9414-9422 - [c34]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: 7012-7021 - [c33]Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT: Real-Time Instance Segmentation. ICCV 2019: 9156-9165 - [i22]Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT: Real-time Instance Segmentation. CoRR abs/1904.02689 (2019) - [i21]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 abs/1906.05332 (2019) - [i20]Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. CoRR abs/1910.01112 (2019) - [i19]Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee:
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation. CoRR abs/1911.11758 (2019) - [i18]Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee:
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers. CoRR abs/1911.11759 (2019) - [i17]Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee:
YOLACT++: Better Real-time Instance Segmentation. CoRR abs/1912.06218 (2019) - 2018
- [c32]Zhongzheng Ren, Yong Jae Lee:
Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery. CVPR 2018: 762-771 - [c31]Fanyi Xiao, Yong Jae Lee:
Video Object Detection with an Aligned Spatial-Temporal Memory. ECCV (8) 2018: 494-510 - [c30]Krishna Kumar Singh, Santosh Kumar Divvala, Ali Farhadi, Yong Jae Lee:
DOCK: Detecting Objects by Transferring Common-Sense Knowledge. ECCV (13) 2018: 506-522 - [c29]Zhongzheng Ren, Yong Jae Lee, Michael S. Ryoo:
Learning to Anonymize Faces for Privacy Preserving Action Detection. ECCV (1) 2018: 639-655 - [c28]Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu:
A Visual Attention Grounding Neural Model for Multimodal Machine Translation. EMNLP 2018: 3643-3653 - [c27]