Arjun Gupta

According to our database, Arjun Gupta authored at least 26 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Opening Cabinets and Drawers in the Real World using a Commodity Mobile Manipulator.

Arjun Gupta, Michelle Zhang, Rishik Sathua, Saurabh Gupta

CoRR, 2024

2023

Presto: A Decade of SQL Analytics at Meta.

Yutian Sun, Tim Meehan, Rebecca Schlussel, Wenlei Xie, Masha Basmanova, Orri Erling, Andrii Rosa, Shixuan Fan, Rongrong Zhong, Arun Thirupathi, Nikhil Collooru, Ke Wang, Sameer Agarwal, Arjun Gupta, Dionysios Logothetis, Kostas Xirogiannopoulos, Amit Dutta, Varun Gajjala, Rohit Jain, Ajay Palakuzhy, Prithvi Pandian, Sergey Pershin, Abhisek Saikia, Pranjal Shankhdhar, Neerad Somanchi, Swapnil Tailor, Jialiang Tan, Sreeni Viswanadha, Zac Wen, Biswapesh Chattopadhyay, Bin Fan, Deepak Majeti, Aditi Pandit

Proc. ACM Manag. Data, 2023

Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops.

Aditya Prakash, Arjun Gupta, Saurabh Gupta

CoRR, 2023

Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU Systems.

Sankha Baran Dutta, Hoda Naghibijouybari, Arjun Gupta, Nael B. Abu-Ghazaleh, Andres Marquez, Kevin J. Barker

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Predicting Motion Plans for Articulating Everyday Objects.

Arjun Gupta, Max E. Shepherd, Saurabh Gupta

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction.

Arjun Gupta, Pablo Hoffmann, Sebastian Prepelita, Philip W. Robinson, Vamsi K. Ithapu, David L. Alon

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

The Uncanny Similarity of Recurrence and Depth.

Avi Schwarzschild, Arjun Gupta, Amin Ghiasi, Micah Goldblum, Tom Goldstein

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Value Functions from Undirected State-only Experience.

Matthew Chang, Arjun Gupta, Saurabh Gupta

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs.

Antoni Rosinol, Andrew Violette, Marcus Abate, Nathan Hughes, Yun Chang, Jingnan Shi, Arjun Gupta, Luca Carlone

Int. J. Robotics Res., 2021

Datasets for Studying Generalization from Easy to Hard Examples.

Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Arpit Bansal, Zeyad Emam, Furong Huang, Micah Goldblum, Tom Goldstein

CoRR, 2021

DP-InstaHide: Provably Defusing Poisoning and Backdoor Attacks with Differentially Private Data Augmentations.

Eitan Borgnia, Jonas Geiping, Valeriia Cherepanova, Liam Fowl, Arjun Gupta, Amin Ghiasi, Furong Huang, Micah Goldblum, Tom Goldstein

CoRR, 2021

Thinking Deeply with Recurrence: Generalizing from Easy to Hard Sequential Reasoning Problems.

Avi Schwarzschild, Arjun Gupta, Micah Goldblum, Tom Goldstein

CoRR, 2021

Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks.

Avi Schwarzschild, Eitan Borgnia, Arjun Gupta, Furong Huang, Uzi Vishkin, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks.

Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P. Dickerson, Tom Goldstein

Proceedings of the 38th International Conference on Machine Learning, 2021

Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff.

Eitan Borgnia, Valeriia Cherepanova, Liam Fowl, Amin Ghiasi, Jonas Geiping, Micah Goldblum, Tom Goldstein, Arjun Gupta

Proceedings of the IEEE International Conference on Acoustics, 2021

Text Embedding Bank for Detailed Image Paragraph Captioning.

Arjun Gupta, Zengming Shen, Thomas S. Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps.

Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus

IEEE Robotics Autom. Lett., 2020

Random Network Distillation as a Diversity Metric for Both Image and Text Generation.

Liam Fowl, Micah Goldblum, Arjun Gupta, Amr Sharaf, Tom Goldstein

CoRR, 2020

MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras.

Chethan M. Parameshwara, Nitin J. Sanket, Arjun Gupta, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2020

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans.

Antoni Rosinol, Arjun Gupta, Marcus Abate, Jingnan Shi, Luca Carlone

Proceedings of the Robotics: Science and Systems XVI, 2020

Semantic Visual Navigation by Watching YouTube Videos.

Matthew Chang, Arjun Gupta, Saurabh Gupta

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Monitoring for Neural Network Based Monocular Pedestrian Pose Estimation.

Arjun Gupta, Luca Carlone

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

OpenRadar: A Toolkit for Prototyping mmWave Radar Applications.

Arjun Gupta, Dashiell Kosaka, Edwin Pan, Jingning Tang, Ruihao Yao, Sanjay Patel

CoRR, 2019

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms.

Arjun Gupta, E. A. Huerta, Zhizhen Zhao, Issam Moussa

CoRR, 2019

Deep Context Map: Agent Trajectory Prediction using Location-specific Latent Maps.

Igor Gilitschenski, Guy Rosman, Arjun Gupta, Sertac Karaman, Daniela Rus

CoRR, 2019

Real-time Needle Tip Localization in 2D Ultrasound Images using Kalman Filter.

Nisha Agarwal, Ankur Kumar Yadav, Arjun Gupta, M. Felix Orlando

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019