Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes. - Sambit Ghadai; Aditya Balu; Adarsh Krishnamurthy; Soumik Sarkar (CoRR, 2017)

Learning localized features in 3D CAD models for manufacturability analysis of drilled holes. - Sambit Ghadai; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (Comput. Aided Geom. Des., 2018)

Multi-Resolution 3D Convolutional Neural Networks for Object Recognition. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CoRR, 2018)

Multi-Level 3D CNN for Learning Multi-Scale Spatial Features. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (CVPR Workshops, 2019)

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents. - Xian Yeow Lee; Sambit Ghadai; Kai Liang Tan; Chinmay Hegde; Soumik Sarkar (AAAI, 2020)

NURBS-based microstructure design for organic photovoltaics. - Ramin Noruzi; Sambit Ghadai; Onur Rauf Bingol; Adarsh Krishnamurthy; Baskar Ganapathysubramanian (Comput. Aided Des., 2020)

Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models. - Sambit Ghadai; Xian Yeow Lee; Aditya Balu; Soumik Sarkar; Adarsh Krishnamurthy (Comput. Aided Geom. Des., 2021)

GPU-Accelerated Collision Analysis of Vehicles in a Point Cloud Environment. - Harshil Shah; Sambit Ghadai; Dhruv Gamdha; Alex Schuster; Ivan Thomas; Nathan Greiner; Adarsh Krishnamurthy (IEEE Computer Graphics and Applications, 2022)

HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models. - Aditya Balu; Sambit Ghadai; Onur Rauf Bingol; Adarsh Krishnamurthy (J. Comput. Inf. Sci. Eng., 2022)