Lexical State Analyzer. - Kartik Gupta; V. Krishna Nandivada (CoRR, 2013)

Human Action Recognition for Depth Cameras via Dynamic Frame Warping. - Kartik Gupta; Arnav Bhavsar (CVIP (2), 2016)

Scale Invariant Human Action Detection from Depth Cameras Using Class Templates. - Kartik Gupta; Arnav Bhavsar (CVPR Workshops, 2016)

Effectiveness of Grasp Attributes and Motion-Constraints for Fine-Grained Recognition of Object Manipulation Actions. - Kartik Gupta; Darius Burschka; Arnav Bhavsar (CVPR Workshops, 2016)

Lexical state analyzer for JavaCC grammars. - Kartik Gupta; V. Krishna Nandivada (Softw. Pract. Exp., 2016)

Nearly Optimal Robust Matrix Completion. - Yeshwanth Cherapanamjeri; Kartik Gupta; Prateek Jain 002 (ICML, 2017)

Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. - Kartik Gupta; Noveen Sachdeva; Vikram Pudi (ECIR, 2018)

Attentive neural architecture incorporating song features for music recommendation. - Noveen Sachdeva; Kartik Gupta; Vikram Pudi (RecSys, 2018)

Classifying Object Manipulation Actions based on Grasp-types and Motion-Constraints. - Kartik Gupta; Darius Burschka; Arnav Bhavsar (CoRR, 2018)

CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation. - Kartik Gupta; Lars Petersson; Richard Hartley 001 (ICCV Workshops, 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 (IROS, 2019)

Learning Minimax Estimators via Online Learning. - Kartik Gupta; Arun Sai Suggala; Adarsh Prasad; Praneeth Netrapalli; Pradeep Ravikumar (CoRR, 2020)

Post-hoc Calibration of Neural Networks. - Amir Rahimi; Kartik Gupta; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (CoRR, 2020)

Mirror Descent View for Neural Network Quantization. - Thalaiyasingam Ajanthan; Kartik Gupta; Philip H. S. Torr; Richard Hartley 001; Puneet K. Dokania (AISTATS, 2021)

Calibration of Neural Networks using Splines. - Kartik Gupta; Amir Rahimi; Thalaiyasingam Ajanthan; Thomas Mensink; Cristian Sminchisescu; Richard Hartley 001 (ICLR, 2021)

Improved Gradient-Based Adversarial Attacks for Quantized Networks. - Kartik Gupta; Thalaiyasingam Ajanthan (AAAI, 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 (COMPASS, 2022)

DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games. - Nikhil Bansal 004; Kartik Gupta; Kiruthika Kannan; Sivani Pentapati; Ravi Kiran Sarvadevabhatla (ACM Multimedia, 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)

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)

Data Fortress- File Sharing System Enhancing the Features of Blockchain. - Puneet Goswami; Victor Hugo C. de Albuquerque; Lakshita Aggarwal; Kartik Gupta (BDA (Astronomy, Science, and Engineering), 2024)

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ECCV (48), 2024)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ICLR, 2024)

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

Transfer Learning with Point Transformers. - Kartik Gupta; Rahul Vippala; Sahima Srivastava (CoRR, 2024)

Learning-Based Image Compression for Machines. - Kartik Gupta; Kimberley Faria; Vikas Mehta (CoRR, 2024)

Can We Predict Performance of Large Models across Vision-Language Tasks? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (CoRR, 2024)

Adaptive Circuit Behavior and Generalization in Mechanistic Interpretability. - Jatin Nainani; Sankaran Vaidyanathan; AJ Yeung; Kartik Gupta; David Jensen (CoRR, 2024)

Fine-Tuning Qwen 2.5 3B for Realistic Movie Dialogue Generation. - Kartik Gupta (CoRR, 2025)

Measuring the Impact of Technical Debt on Development Effort in Software Projects. - Kartik Gupta (CoRR, 2025)

Iterative Auto-Annotation for Scientific Named Entity Recognition Using BERT-Based Models. - Kartik Gupta (CoRR, 2025)

Implementing Effective Changes in Software Projects to Optimize Runtimes and Minimize Defects. - Kartik Gupta (CoRR, 2025)