Gkioxari, Georgia

Monograph from CaltechAUTHORS

• Israel, Uriah and Marks, Markus, et el. (2024) A Foundation Model for Cell Segmentation; bioRvix; 2023.11.17.567630; PMCID PMC10690226; 10.1101/2023.11.17.567630
• Wu, Chao-Yuan and Johnson, Justin, et el. (2023) Multiview Compressive Coding for 3D Reconstruction
• Wiles, Olivia and Gkioxari, Georgia, et el. (2022) SynSin: End-to-end View Synthesis from a Single Image; 10.48550/arXiv.1912.08804
• He, Kaiming and Gkioxari, Georgia, et el. (2022) Mask R-CNN; 10.48550/arXiv.1703.06870
• Qian, Shengyi and Kirillov, Alexander, et el. (2022) Recognizing Scenes from Novel Viewpoints; 10.48550/arXiv.2112.01520
• Gkioxari, Georgia and Girshick, Ross, et el. (2022) Actions and Attributes from Wholes and Parts; 10.48550/arXiv.1412.2604
• Ravi, Nikhila and Reizenstein, Jeremy, et el. (2022) Accelerating 3D Deep Learning with PyTorch3D; 10.48550/arXiv.2007.08501
• Goel, Shubham and Gkioxari, Georgia, et el. (2022) Differentiable Stereopsis: Meshes from multiple views using differentiable rendering; 10.48550/arXiv.2110.05472
• Wu, Yi and Wu, Yuxin, et el. (2022) Building Generalizable Agents with a Realistic and Rich 3D Environment; 10.48550/arXiv.1801.02209
• Sun, Jennifer J. and Karashchuk, Pierre, et el. (2022) BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos; 10.48550/arXiv.2212.07401
• Gkioxari, Georgia and Girshick, Ross, et el. (2022) Contextual Action Recognition with R*CNN; 10.48550/arXiv.1505.01197
• Smith, Edward J. and Calandra, Roberto, et el. (2022) 3D Shape Reconstruction from Vision and Touch; 10.48550/arXiv.2007.03778
• Gkioxari, Georgia and Malik, Jitendra, et el. (2022) Mesh R-CNN; 10.48550/arXiv.1906.02739
• Gkioxari, Georgia and Malik, Jitendra (2022) Finding Action Tubes; 10.48550/arXiv.1411.6031
• Gkioxari, Georgia and Ravi, Nikhila, et el. (2022) Learning 3D Object Shape and Layout without 3D Supervision; 10.48550/arXiv.2206.07028
• Gkioxari, Georgia and Hariharan, Bharath, et el. (2022) R-CNNs for Pose Estimation and Action Detection; 10.48550/arXiv.1406.5212
• Radosavovic, Ilija and Dollár, Piotr, et el. (2022) Data Distillation: Towards Omni-Supervised Learning; 10.48550/arXiv.1712.04440
• Das, Abhishek and Datta, Samyak, et el. (2022) Embodied Question Answering; 10.48550/arXiv.1711.11543
• Wijmans, Erik and Datta, Samyak, et el. (2022) Embodied Question Answering in Photorealistic Environments with Point Cloud Perception; 10.48550/arXiv.1904.03461
• Gkioxari, Georgia and Girshick, Ross, et el. (2022) Detecting and Recognizing Human-Object Interactions
• Gkioxari, Georgia and Toshev, Alexander, et el. (2022) Chained Predictions Using Convolutional Neural Networks; 10.48550/arXiv.1605.02346
• Brazil, Garrick and Straub, Julian, et el. (2022) Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild; 10.48550/arXiv.2207.10660
• Girdhar, Rohit and Gkioxari, Georgia, et el. (2022) Detect-and-Track: Efficient Pose Estimation in Videos; 10.48550/arXiv.1712.09184
• Das, Abhishek and Gkioxari, Georgia, et el. (2022) Neural Modular Control for Embodied Question Answering; 10.48550/arXiv.1810.11181
• Yu, Licheng and Chen, Xinlei, et el. (2022) Multi-Target Embodied Question Answering; 10.48550/arXiv.1904.04686