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2020 – today
- 2024
[c15]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR 2024- [c14]Kartik Gupta, Akshay Asthana:
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. WACV 2024: 2440-2449 - [i18]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR abs/2402.00865 (2024) - [i17]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR abs/2403.09037 (2024) - [i16]Kartik Gupta, Rahul Vippala, Sahima Srivastava:
Transfer Learning with Point Transformers. CoRR abs/2404.00846 (2024) - [i15]Kartik Gupta, Kimberley Faria, Vikas Mehta:
Learning-Based Image Compression for Machines. CoRR abs/2409.19184 (2024) - 2023
- [j2]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. Trans. Mach. Learn. Res. 2023 (2023) - [i14]Kartik Gupta, Akshay Asthana:
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks. CoRR abs/2311.05109 (2023) - 2022
- [c13]Kartik Gupta, Thalaiyasingam Ajanthan:
Improved Gradient-Based Adversarial Attacks for Quantized Networks. AAAI 2022: 6810-6818 - [c12]Andy Spezzatti, Elham Kheradmand, Kartik Gupta
, Marie Peras, Roxaneh Zaminpeyma:
Note: Leveraging Artificial Intelligence to build a Data Catalog and support research on the Sustainable Development Goals. COMPASS 2022: 579-584 - [c11]Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla:
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. ACM Multimedia 2022: 2852-2861 - [i13]Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel:
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices. CoRR abs/2206.10844 (2022) - [i12]Nikhil Bansal, Kartik Gupta, Kiruthika Kannan, Sivani Pentapati, Ravi Kiran Sarvadevabhatla:
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. CoRR abs/2211.05429 (2022) - [i11]Kartik Gupta, Thalaiyasingam Ajanthan, Anton van den Hengel, Stephen Gould:
Understanding and Improving the Role of Projection Head in Self-Supervised Learning. CoRR abs/2212.11491 (2022) - 2021
- [c10]Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania:
Mirror Descent View for Neural Network Quantization. AISTATS 2021: 2809-2817 - [c9]Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley:
Calibration of Neural Networks using Splines. ICLR 2021 - 2020
- [i10]Kartik Gupta, Thalaiyasingam Ajanthan:
Improved Gradient based Adversarial Attacks for Quantized Networks. CoRR abs/2003.13511 (2020) - [i9]Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar:
Learning Minimax Estimators via Online Learning. CoRR abs/2006.11430 (2020) - [i8]Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley:
Calibration of Neural Networks using Splines. CoRR abs/2006.12800 (2020) - [i7]Amir Rahimi, Kartik Gupta, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley:
Post-hoc Calibration of Neural Networks. CoRR abs/2006.12807 (2020)
2010 – 2019
- 2019
- [c8]Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. ICCV Workshops 2019: 2758-2766 - [c7]Yi Herng Ong, John Morrow, Yu Qiu, Kartik Gupta, Ravi Balasubramanian, Cindy Grimm:
Near-contact grasping strategies from awkward poses: When simply closing your fingers is not enough*. IROS 2019: 646-651 - [i6]Kartik Gupta, Lars Petersson, Richard Hartley:
CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. CoRR abs/1909.13476 (2019) - [i5]Thalaiyasingam Ajanthan, Kartik Gupta, Philip H. S. Torr, Richard Hartley, Puneet K. Dokania:
Mirror Descent View for Neural Network Quantization. CoRR abs/1910.08237 (2019) - 2018
- [c6]Kartik Gupta, Noveen Sachdeva, Vikram Pudi:
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR 2018: 333-344 - [c5]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive neural architecture incorporating song features for music recommendation. RecSys 2018: 417-421 - [i4]Kartik Gupta, Darius Burschka, Arnav Bhavsar:
Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. CoRR abs/1806.07574 (2018) - [i3]Noveen Sachdeva, Kartik Gupta, Vikram Pudi:
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR abs/1811.08203 (2018) - 2017
- [c4]Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain:
Nearly Optimal Robust Matrix Completion. ICML 2017: 797-805 - 2016
- [j1]Kartik Gupta, V. Krishna Nandivada:
Lexical state analyzer for JavaCC grammars. Softw. Pract. Exp. 46(6): 751-765 (2016) - [c3]Kartik Gupta, Arnav Bhavsar:
Human Action Recognition for Depth Cameras via Dynamic Frame Warping. CVIP (2) 2016: 127-137 - [c2]Kartik Gupta, Arnav Bhavsar:
Scale Invariant Human Action Detection from Depth Cameras Using Class Templates. CVPR Workshops 2016: 304-311 - [c1]Kartik Gupta, Darius Burschka, Arnav Bhavsar:
Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions. CVPR Workshops 2016: 1232-1239 - [i2]Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain:
Nearly-optimal Robust Matrix Completion. CoRR abs/1606.07315 (2016) - 2013
- [i1]Kartik Gupta, V. Krishna Nandivada:
Lexical State Analyzer. CoRR abs/1308.3156 (2013)
Coauthor Index
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