Kartik Gupta

According to our database, Kartik Gupta authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

2024

Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability.

Jatin Nainani, Sankaran Vaidyanathan, AJ Yeung, Kartik Gupta, David Jensen

CoRR, 2024

Can We Predict Performance of Large Models across Vision-Language Tasks?

Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

CoRR, 2024

Learning-Based Image Compression for Machines.

Kartik Gupta, Kimberley Faria, Vikas Mehta

CoRR, 2024

Transfer Learning with Point Transformers.

Kartik Gupta, Rahul Vippala, Sahima Srivastava

CoRR, 2024

Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks.

Kartik Gupta, Akshay Asthana

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection.

Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices.

Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel

Trans. Mach. Learn. Res., 2023

2022

Understanding and Improving the Role of Projection Head in Self-Supervised Learning.

Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould

CoRR, 2022

DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games.

Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Note: Leveraging Artificial Intelligence to build a Data Catalog and support research on the Sustainable Development Goals.

Andy Spezzatti, Elham Kheradmand, Kartik Gupta, Marie Peras, Roxaneh Zaminpeyma

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Improved Gradient-Based Adversarial Attacks for Quantized Networks.

Kartik Gupta, Thalaiyasingam Ajanthan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Calibration of Neural Networks using Splines.

Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley

Proceedings of the 9th International Conference on Learning Representations, 2021

Mirror Descent View for Neural Network Quantization.

Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Post-hoc Calibration of Neural Networks.

Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley

CoRR, 2020

Learning Minimax Estimators via Online Learning.

Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar

CoRR, 2020

2019

Near-contact grasping strategies from awkward poses: When simply closing your fingers is not enough^*.

Yi Herng Ong, John Morrow, Yu Qiu, Kartik Gupta, Ravi Balasubramanian, Cindy Grimm

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation.

Kartik Gupta, Lars Petersson, Richard Hartley

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints.

Kartik Gupta, Darius Burschka, Arnav Bhavsar

CoRR, 2018

Attentive neural architecture incorporating song features for music recommendation.

Noveen Sachdeva, Kartik Gupta, Vikram Pudi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation.

Kartik Gupta, Noveen Sachdeva, Vikram Pudi

Proceedings of the Advances in Information Retrieval, 2018

2017

Nearly Optimal Robust Matrix Completion.

Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Lexical state analyzer for JavaCC grammars.

Kartik Gupta, V. Krishna Nandivada

Softw. Pract. Exp., 2016

Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions.

Kartik Gupta, Darius Burschka, Arnav Bhavsar

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Scale Invariant Human Action Detection from Depth Cameras Using Class Templates.

Kartik Gupta, Arnav Bhavsar

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Human Action Recognition for Depth Cameras via Dynamic Frame Warping.

Kartik Gupta, Arnav Bhavsar

Proceedings of International Conference on Computer Vision and Image Processing, 2016

2013

Lexical State Analyzer.

Kartik Gupta, V. Krishna Nandivada

CoRR, 2013