Poursaeed, Omid

11 publications

CVPR 2024 Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMs Kanchana Ranasinghe, Satya Narayan Shukla, Omid Poursaeed, Michael S. Ryoo, Tsung-Yu Lin

ECCV 2024 WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Bjorn Ommer

ICML 2023 Hiera: A Hierarchical Vision Transformer Without the Bells-and-Whistles Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer

CVPR 2023 Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H.S. Torr, Ser-Nam Lim

ICCVW 2023 Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-Form Video Understanding Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim

ICCV 2021 Robustness and Generalization via Generative Adversarial Training Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge Belongie, Ser-Nam Lim

ECCV 2020 Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim

WACV 2020 Neural Puppet: Generative Layered Cartoon Characters Omid Poursaeed, Vladimir Kim, Eli Shechtman, Jun Saito, Serge Belongie

NeurIPS 2019 Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan, Omid Poursaeed, Vitaly Shmatikov

ECCVW 2018 Deep Fundamental Matrix Estimation Without Correspondences Omid Poursaeed, Guandao Yang, Aditya Prakash, Qiuren Fang, Hanqing Jiang, Bharath Hariharan, Serge J. Belongie

CVPR 2017 Stacked Generative Adversarial Networks Xun Huang, Yixuan Li, Omid Poursaeed, John Hopcroft, Serge Belongie