A Computer Vision Framework for Detecting and Preventing Human-Elephant Collisions. - Ankush Mittal; Isha Dua; Pushkar Shukla; Balasubramanian Raman (ICCV Workshops, 2017)

Indian Dance Form Recognition from Videos. - Ankita Bisht; Riya Bora; Goutam Saini; Pushkar Shukla (SITIS, 2017)

A Computer Vision Framework for Automatic Description of Indian Monuments. - Pushkar Shukla; Beena Rautela; Ankush Mittal (SITIS, 2017)

A Deep Learning Frame-Work for Recognizing Developmental Disorders. - Pushkar Shukla; Tanu Gupta; Aradhya Saini; Priyanka Singh; Raman Balasubramanian (WACV, 2017)

CARTOONNET: Caricature Recognition of Public Figures. - Pushkar Shukla; Tanu Gupta; Priyanka Singh; Balasubramanian Raman (CVIP (1), 2018)

Automatic Cricket Highlight Generation Using Event-Driven and Excitement-Based Features. - Pushkar Shukla; Hemant Sadana; Apaar Bansal; Deepak Verma; Carlos E. L. Elmadjian; Balasubramanian Raman; Matthew Turk 001 (CVPR Workshops, 2018)

3D gaze estimation in the scene volume with a head-mounted eye tracker. - Carlos E. L. Elmadjian; Pushkar Shukla; Antonio Diaz Tula; Carlos H. Morimoto (COGAIN@ETRA, 2018)

What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. - Pushkar Shukla; Carlos E. L. Elmadjian; Richika Sharan; Vivek Kulkarni; Matthew Turk 001; William Yang Wang (ACL (1), 2019)

Enhancing Text-based Reinforcement Learning Agents with Commonsense Knowledge. - Keerthiram Murugesan; Mattia Atzeni; Pushkar Shukla; Mrinmaya Sachan; Pavan Kapanipathi; Kartik Talamadupula (CoRR, 2020)

Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. - Keerthiram Murugesan; Mattia Atzeni; Pavan Kapanipathi; Pushkar Shukla; Sadhana Kumaravel; Gerald Tesauro; Kartik Talamadupula; Mrinmaya Sachan; Murray Campbell (AAAI, 2021)

CAVLI - Using image associations to produce local concept-based explanations. - Pushkar Shukla; Sushil Bharati; Matthew Turk 001 (CVPR Workshops, 2023)

TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models. - Aditya Chinchure; Pushkar Shukla; Gaurav Bhatt; Kiri Salij; Kartik Hosanagar; Leonid Sigal; Matthew Turk 001 (ECCV (79), 2024)

Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement. - Pushkar Shukla; Dhruv Srikanth; Lee Cohen 003; Matthew Turk 001 (CoRR, 2024)

BiasConnect: Investigating Bias Interactions in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew A. Turk (CoRR, 2025)

Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models. - Pushkar Shukla; Aditya Chinchure; Emily Diana; Alexander Tolbert; Kartik Hosanagar; Vineeth N. Balasubramanian; Leonid Sigal; Matthew Turk 001 (CoRR, 2025)