Deep Learning Based Stair Detection and Statistical Image Filtering for Autonomous Stair Climbing. - Unmesh Patil; Aniket Gujarathi; Akshay R. Kulkarni; Aman Jain; Lokeshkumar Malke; Radhika Tekade; Kartik Paigwar; Pradyumn Chaturvedi (IRC, 2019)

Stagewise Knowledge Distillation. - Akshay R. Kulkarni; Navid Panchi; Shital S. Chiddarwar (CoRR, 2019)

Paying Attention to Video Generation. - Rishika Bhagwatkar; Khurshed Fitter; Saketh Bachu; Akshay R. Kulkarni; Shital S. Chiddarwar (Preregister@NeurIPS, 2020)

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Amit Singh; Varun Jampani; R. Venkatesh Babu (ICCV, 2021)

Design and Development of Autonomous Delivery Robot. - Aniket Gujarathi; Akshay R. Kulkarni; Unmesh Patil; Yogesh Phalak; Rajeshree Deotalu; Aman Jain; Navid Panchi; Ashwin Dhabale; Shital S. Chiddarwar (CoRR, 2021)

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Varun Jampani; Venkatesh Babu Radhakrishnan (AAAI, 2022)

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; R. Venkatesh Babu (ECCV (30), 2022)

Balancing Discriminability and Transferability for Source-Free Domain Adaptation. - Jogendra Nath Kundu; Akshay R. Kulkarni; Suvaansh Bhambri; Deepesh Mehta; Shreyas Anand Kulkarni; Varun Jampani; Venkatesh Babu Radhakrishnan (ICML, 2022)

Subsidiary Prototype Alignment for Universal Domain Adaptation. - Jogendra Nath Kundu; Suvaansh Bhambri; Akshay R. Kulkarni; Hiran Sarkar; Varun Jampani; Venkatesh Babu R. (NeurIPS, 2022)

Towards Blockchain-enabled Mask Writing for Security against Hardware Trojan Intrusion. - Akshay R. Kulkarni; Noor Ahmad Hazari; Mohammed Y. Niamat (eIT, 2023)

Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. - Sunandini Sanyal; Ashish Ramayee Asokan; Suvaansh Bhambri; Akshay R. Kulkarni; Jogendra Nath Kundu; R. Venkatesh Babu (ICCV, 2023)

Ring Oscillator PUF and Blockchain: A Way of Securing Post Fabrication FPGA Supply Chain. - Akshay R. Kulkarni; Noor Ahmad Hazari; Mohammed Y. Niamat (MWSCAS, 2023)

Interpretability-Guided Test-Time Adversarial Defense. - Akshay R. Kulkarni; Tsui-Wei Weng (ECCV (37), 2024)

A Zero Trust Architecture employing Blockchain and Ring Oscillator Physical Unclonable Function for Internet-of-Things. - Akshay R. Kulkarni; Amrit Niraula; Hrishav Bhattarai; Mohammed Y. Niamat (EIT, 2024)

Hardware Trojan Detection employing Machine Learning, Physical Unclonable Functions and Side Channel Analysis. - Muskan Saraf; Talha Hussain Syed; Akshay R. Kulkarni; Mohammed Y. Niamat (EIT, 2024)

Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation. - Sunandini Sanyal; Ashish Ramayee Asokan; Suvaansh Bhambri; Pradyumna YM; Akshay R. Kulkarni; Jogendra Nath Kundu; R. Venkatesh Babu (WACV, 2024)

ZEBRA: Zero Trust Architecture Employing Blockchain Technology and ROPUF for AMI Security. - Faris Alsulami; Akshay R. Kulkarni; Noor Ahmad Hazari; Mohammed Y. Niamat (IEEE Access, 2024)

A Zero Trust-Based Framework Employing Blockchain Technology and Ring Oscillator Physical Unclonable Functions for Security of Field Programmable Gate Array Supply Chain. - Akshay R. Kulkarni; Noor Ahmad Hazari; Mohammed Y. Niamat (IEEE Access, 2024)

Interpretable Generative Models through Post-hoc Concept Bottlenecks. - Akshay R. Kulkarni; Ge Yan; Chung-En Sun; Tuomas P. Oikarinen; Tsui-Wei Weng (CVPR, 2025)

Interpreting Neurons in Deep Vision Networks with Language Models. - Nicholas Bai; Rahul A. Iyer; Tuomas P. Oikarinen; Akshay R. Kulkarni; Tsui-Wei Weng (Trans. Mach. Learn. Res., 2025)

Rethinking Crowd-Sourced Evaluation of Neuron Explanations. - Tuomas P. Oikarinen; Ge Yan; Akshay R. Kulkarni; Tsui-Wei Weng (CoRR, 2025)