Gupta, Saurabh

Microsoft COCO Captions: Data Collection and Evaluation Server

Chen, X., Fang, H., Lin, T.-Y., Vedantam, R., Gupta, S., Dollar, P., & Zitnick, C. L. (2015) · arXiv

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,614

Learning Rich Features from RGB-D Images for Object Detection and Segmentation

Gupta, S., Girshick, R., Arbeláez, P., & Malik, J. (2014) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,528

On evaluation of embodied navigation agents

Anderson, P., Chang, A., Chaplot, D. S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., et al. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 622

Cross Modal Distillation for Supervision Transfer

Gupta, S., Hoffman, J., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 530

Neural Topological SLAM for Visual Navigation

Singh Chaplot, D., Salakhutdinov, R., Gupta, A., & Gupta, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 241

Learning with Side Information through Modality Hallucination

Hoffman, J., Gupta, S., & Darrell, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 207

Semantic Curiosity for Active Visual Learning

Chaplot, D. S., Jiang, H., Gupta, S., & Gupta, A. (2020) · Lecture Notes in Computer Science

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 64

GOAT: GO to Any Thing

Chang, M., Gervet, T., Khanna, M., Yenamandra, S., Shah, D., Min, S., Shah, K., Paxton, C., Gupta, S., Batra, D., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningRobotics and Sensor-Based Localization

Cited by 53

Human Hands as Probes for Interactive Object Understanding

Goyal, M., Modi, S., Goyal, R., & Gupta, S. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningHuman Pose and Action Recognition

Cited by 31

DeepRacer: Educational Autonomous Racing Platform for Experimentation with Sim2Real Reinforcement Learning

Balaji, B., Mallya, S., Genc, S., Gupta, S., Dirac, L., Khare, V., Roy, G., Sun, T., Tao, Y., Townsend, B., et al. (2019) · arXiv

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 27

SEAL: Self-supervised embodied active learning using exploration and 3D consistency

Chaplot, D. S., Dalal, M., Gupta, S., Malik, J., & Salakhutdinov, R. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 22