Gupta, Kartik

12 publications

ICML 2025 Can We Predict Performance of Large Models Across Vision-Language Tasks? Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

WACV 2024 Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks Kartik Gupta, Akshay Asthana

ECCV 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

ICLR 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould

TMLR 2023 Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel

AAAI 2022 Improved Gradient-Based Adversarial Attacks for Quantized Networks Kartik Gupta, Thalaiyasingam Ajanthan

AISTATS 2021 Mirror Descent View for Neural Network Quantization Thalaiyasingam Ajanthan, Kartik Gupta, Philip Torr, Richad Hartley, Puneet Dokania

ICLR 2021 Calibration of Neural Networks Using Splines Kartik Gupta, Amir Rahimi, Thalaiyasingam Ajanthan, Thomas Mensink, Cristian Sminchisescu, Richard Hartley

ICCVW 2019 CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation Kartik Gupta, Lars Petersson, Richard Hartley

ICML 2017 Nearly Optimal Robust Matrix Completion Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain

CVPRW 2016 Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions Kartik Gupta, Darius Burschka, Arnav Bhavsar

CVPRW 2016 Scale Invariant Human Action Detection from Depth Cameras Using Class Templates Kartik Gupta, Arnav Bhavsar