Savarese, Silvio

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6,612

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Gupta, A., Johnson, J., Fei-Fei, L., Savarese, S., & Alahi, A. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Human Motion and AnimationAutonomous Vehicle Technology and Safety

Cited by 2,466

ShapeNet: An Information-Rich 3D Model Repository

Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al. (2015) · arXiv

3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction

Cited by 2,330

Learning to Track at 100 FPS with Deep Regression Networks

Held, D., Thrun, S., & Savarese, S. (2016) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,199

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

Jain, A., Zamir, A. R., Savarese, S., & Saxena, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Graph Neural NetworksHuman Pose and Action Recognition

Cited by 1,133

Taskonomy: Disentangling Task Transfer Learning

Zamir, A. R., Sax, A., Shen, W., Guibas, L., Malik, J., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,128

Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

Robicquet, A., Sadeghian, A., Alahi, A., & Savarese, S. (2016) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 927

Active Learning for Convolutional Neural Networks: A Core-Set Approach

Sener, O., & Savarese, S. (2017) · arXiv

Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning

Cited by 922

Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Li, J., Li, D., Savarese, S., & Hoi, S. (2023) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 908

Gibson Env: Real-World Perception for Embodied Agents

Xia, F., Zamir, A. R., He, Z., Sax, A., Malik, J., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 763

Embodied intelligence via learning and evolution

Gupta, A., Savarese, S., Ganguli, S., & Fei-Fei, L. (2021) · Nature Communications

Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications

Cited by 352

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

Armeni, I., He, Z.-Y., Zamir, A., Gwak, J., Malik, J., Fischer, M., & Savarese, S. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Surveying and Cultural Heritage3D Shape Modeling and Analysis

Cited by 350

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks

Lee, M. A., Zhu, Y., Srinivasan, K., Shah, P., Savarese, S., Fei-Fei, L., Garg, A., & Bohg, J. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 349

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Nijkamp, E., Pang, B., Hayashi, H., Tu, L., Wang, H., Zhou, Y., Savarese, S., & Xiong, C. (2022) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 330

Machine vision for natural gas methane emissions detection using an infrared camera

Wang, J., Tchapmi, L. P., Ravikumar, A. P., McGuire, M., Bell, C. S., Zimmerle, D., Savarese, S., & Brandt, A. R. (2020) · Applied Energy

Atmospheric and Environmental Gas DynamicsAdvanced Neural Network Applications

Cited by 205

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

Fang, K., Toshev, A., Fei-Fei, L., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 178

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

Xia, F., Shen, W. B., Li, C., Kasimbeg, P., Tchapmi, M. E., Toshev, A., Martin-Martin, R., & Savarese, S. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 171

ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding

Xue, L., Yu, N., Zhang, S., Panagopoulou, A., Li, J., Martín-Martín, R., Wu, J., Xiong, C., Xu, R., Niebles, J. C., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisMultimodal Machine Learning Applications

Cited by 144

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation

Mandlekar, A., Zhu, Y., Garg, A., Booher, J., Spero, M., Tung, A., Gao, J., Emmons, J., Gupta, A., Orbay, E., et al. (2018) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 134

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations

Mandlekar, A., Zhu, Y., Garg, A., Fei-Fei, L., & Savarese, S. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Adversarial Robustness in Machine LearningReinforcement Learning in Robotics

Cited by 116

Semantic structure from motion with points, regions, and objects

Bao, S. Y., Bagra, M., Chao, Y.-W., & Savarese, S. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 107

Deep Learning Under Privileged Information Using Heteroscedastic Dropout

Lambert, J., Sener, O., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 93

GTI: Learning to Generalize across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · Robotics: Science and Systems XVI

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 90

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Mandlekar, A., Xu, D., Wong, J., Nasiriany, S., Wang, C., Kulkarni, R., Fei-Fei, L., Savarese, S., Zhu, Y., & Martín-Martín, R. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 66