Daiqing Li - RankMe

27 papers A* 10Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cube: A Roblox View of 3D Intelligence. CoRR Kiran Bhat, Nishchaie Khanna, Karun Channa, Tinghui Zhou, Yiheng Zhu, Xiaoxia Sun, Charles Shang, Anirudh Sudarshan, Maurice Chu, Daiqing Li, Kangle Deng, Jean-Philippe Fauconnier, Tijmen Verhulsdonck, Maneesh Agrawala, Kayvon Fatahalian, Alexander Weiss, Christian Reiser, Ravi Kiran Chirravuri, Ravali Kandur, Alejandro Pelaez, Akash Garg, Michael Palleschi, Jessica Wang, Skylar Litz, Leon Liu, Anying Li, David Harmon, Derek Liu, Liangjun Feng, Denis Goupil, Lukas Kuczynski, Jihyun Yoon, Naveen Marri, Peiye Zhuang, Yinan Zhang, Brian Yin, Haomiao Jiang, Marcel van Workum, Thomas Lane, Bryce Erickson, Salil Pathare, Kyle Price, Anupam Singh, David Baszucki
2024	J	`jnl`	Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation. CoRR Daiqing Li, Aleks Kamko, Ehsan Akhgari, Ali Sabet, Linmiao Xu, Suhail Doshi
2024	J	`jnl`	Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models. CoRR Bingchen Liu, Ehsan Akhgari, Alexander Visheratin, Aleks Kamko, Linmiao Xu, Shivam Shrirao, Joao Souza, Suhail Doshi, Daiqing Li
2024	—	`conf`	RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. AMAI@MICCAI Zelong Liu, Peyton Smith, Alexander Lautin, Jieshen Zhou, Maxwell Yoo, Mikey Sullivan, Haorun Li, Louisa Deyer, Alexander Zhou, Arnold Yang, Alara Yilmaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei
2023	A*	`conf`	DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
2023	J	`jnl`	DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
2023	A*	`conf`	NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
2023	J	`jnl`	NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler
2023	J	`jnl`	RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei
2022	A*	`conf`	BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba
2022	J	`jnl`	BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba
2022	A*	`conf`	GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
2022	J	`jnl`	GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
2022	A*	`conf`	How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022	J	`jnl`	How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law
2022	A*	`conf`	Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CVPR Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
2022	J	`jnl`	Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler
2021	A*	`conf`	EditGAN: High-Precision Semantic Image Editing. NeurIPS Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
2021	J	`jnl`	EditGAN: High-Precision Semantic Image Editing. CoRR Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
2021	A*	`conf`	Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler
2021	J	`jnl`	Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CoRR Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler
2020	J	`jnl`	Fed-Sim: Federated Simulation for Medical Imaging. CoRR Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
2020	—	`conf`	Federated Simulation for Medical Imaging. MICCAI (1) Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
2019	A*	`conf`	Neural Turtle Graphics for Modeling City Road Layouts. ICCV Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2019	J	`jnl`	Neural Turtle Graphics for Modeling City Road Layouts. CoRR Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler
2018	A*	`conf`	A Face-to-Face Neural Conversation Model. CVPR Hang Chu, Daiqing Li, Sanja Fidler
2018	J	`jnl`	A Face-to-Face Neural Conversation Model. CoRR Hang Chu, Daiqing Li, Sanja Fidler