- Haotian Liu, Chunyuan Li, Yuheng Li, Yong Jae Lee:
Improved Baselines with Visual Instruction Tuning. CoRR abs/2310.03744 (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 abs/2311.07377 (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 abs/2312.00784 (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 abs/2312.02253 (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 abs/2312.07532 (2023) - 2022
- 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) - 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 - Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CVPR 2022: 18419-18428 - 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 - Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-supervised Learning on Point Clouds. ECCV (2) 2022: 657-675 - 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 - 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 - 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 - Haotian Liu, Mu Cai, Yong Jae Lee:
Masked Discrimination for Self-Supervised Learning on Point Clouds. CoRR abs/2203.11183 (2022) - Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee:
GIRAFFE HD: A High-Resolution 3D-aware Generative Model. CoRR abs/2203.14954 (2022) - Xueyan Zou, Haotian Liu, Yong Jae Lee:
End-to-End Instance Edge Detection. CoRR abs/2204.02898 (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 abs/2204.04384 (2022) - 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) - Utkarsh Ojha, Yuheng Li, Yong Jae Lee:
What Knowledge Gets Distilled in Knowledge Distillation? CoRR abs/2205.16004 (2022) - Zhuoran Yu, Yin Li, Yong Jae Lee:
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning. CoRR abs/2206.06359 (2022) - 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) - 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) - 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
- Yuheng Li, Krishna Kumar Singh, Yang Xue, Yong Jae Lee:
PartGAN: Unsupervised Part Decomposition for Image Generation and Segmentation. BMVC 2021: 338 - 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 - Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee:
Progressive Temporal Feature Alignment Network for Video Inpainting. CVPR 2021: 16448-16457 - 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 - 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 - Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee:
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains. ICLR 2021 - Haotian Liu, Rafael A. Rivera Soto, Fanyi Xiao, Yong Jae Lee:
YolactEdge: Real-time Instance Segmentation on the Edge. ICRA 2021: 9579-9585