Publications

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 (2023). Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. In ECCV 2024.

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Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic (2023). Context Diffusion: In-Context Aware Image Generation. In ECCV 2024.

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Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Perez-Rua (2023). GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation. In CVPR 2024.

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Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava (2023). Gen2Det: Generate to Detect. In CVPRW 2024.

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Arka Sadhu, Licheng Yu, Animesh Sinha, Hugo Chen, Ram Nevatia, Ning Zhang (2023). Unaligned Video-Text Pre-training using Iterative Alignment. Under Review.

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Suvir Mirchandani, Licheng Yu, Mengjiao MJ Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang (2022). FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. In EMNLP 2022.

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Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao MJ Wang, Hugo Chen, Tamara L. Berg, Ning Zhang (2022). CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. In KDD 2022.

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Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara Berg, Dhruv Mahajan (2021). Large-Scale Attribute-Object Compositions. In arxiv:2105.11373.

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