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2020 – today
- 2024
[c7]Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng:
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CVPR 2024: 21783-21794- [c6]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. ECCV (70) 2024: 36-52 - [c5]Qiang Zhang, Peter Cui, David Yan, Jingkai Sun, Yiqun Duan, Gang Han, Wen Zhao, Weining Zhang, Yijie Guo, Arthur Zhang, Renjing Xu:
Whole-body Humanoid Robot Locomotion with Human Reference. IROS 2024: 11225-11231 - [i6]David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu:
Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR abs/2402.06088 (2024) - [i5]Qiang Zhang, Peter Cui, David Yan, Jingkai Sun, Yiqun Duan, Arthur Zhang, Renjing Xu:
Whole-body Humanoid Robot Locomotion with Human Reference. CoRR abs/2402.18294 (2024) - [i4]Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, Jia Deng:
Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation. CoRR abs/2406.11824 (2024) - [i3]Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du:
Movie Gen: A Cast of Media Foundation Models. CoRR abs/2410.13720 (2024) - 2023
- [c4]Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya:
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. ICLR 2023 - [c3]Xiao Ling
, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya:
Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. WWW (Companion Volume) 2023: 1365-1372 - [i2]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR abs/2311.10794 (2023) - 2022
- [c2]Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang:
Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space. EMBC 2022: 3849-3853 - [i1]Bilal Alsallakh, Pamela Bhattacharya, Vanessa Feng, Narine Kokhlikyan, Orion Reblitz-Richardson, Rahul Rajan, David Yan:
A Tour of Visualization Techniques for Computer Vision Datasets. CoRR abs/2204.08601 (2022)
2010 – 2019
- 2019
- [c1]Rajvardhan Oak, Min Du, David Yan, Harshvardhan C. Takawale, Idan Amit:
Malware Detection on Highly Imbalanced Data through Sequence Modeling. AISec@CCS 2019: 37-48 - 2018
- [j1]Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song:
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace. Proc. VLDB Endow. 11(12): 2086-2089 (2018)
Coauthor Index
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