Mash, Spread, Slice! Learning to Manipulate Object States via Visual Spatial Progress Priyanka Mandikal, Jiaheng Hu, Shivin Dass, Sagnik Majumder, Roberto Martín-Martín*, Kristen Grauman* Arxiv Preprint, 2025 CoRL Beyond Rigid Worlds Workshop, 2025   (Best Poster Award) webpage / paper / bibtex
	SPOC: Spatially-Progressing Object State Change Segmentation in Video Priyanka Mandikal, Tushar Nagarajan, Alex Stoken, Zihui Xue, Kristen Grauman Arxiv Preprint, 2025 webpage / paper / bibtex
	Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy Priyanka Mandikal Machine Learning for Ancient Languages (ACL Workshop), 2024 (Outstanding Paper Award) webpage / paper / code / dataset / bibtex
	ScrewMimic: Bimanual Imitation from Human Videos with Screw Space Projection Arpit Bahety, Priyanka Mandikal, Ben Abbatematteo, Roberto Martín-Martín Robotics: Science and Systems (RSS), 2024 (Outstanding Student Paper Award Finalist) webpage / paper / bibtex
	Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval Priyanka Mandikal and Raymond Mooney The 4th CEUR Workshop on Scientific Document Understanding (AAAI Workshop), 2024 paper / bibtex
	Learning Dexterous Robotic Grasping by Watching Humans in Action Priyanka Mandikal Master's Thesis, UT Austin, 2023 thesis
	DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video Priyanka Mandikal and Kristen Grauman Conference on Robot Learning (CoRL), 2021   webpage / paper / bibtex
	Learning Dexterous Grasping with Object-Centric Visual Affordances Priyanka Mandikal and Kristen Grauman IEEE International Conference on Robotics and Automation (ICRA), 2021   Lightning talk @ NeurIPS Workshop on Object Representations for Learning and Reasoning webpage / paper / code / bibtex
	Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions Jogendra Nath Kundu*, Himanshu Buckchash*, Priyanka Mandikal, Rahul M V, Anirudh Jamkhandi, R. Venkatesh Babu Winter Conference on Applications of Computer Vision (WACV), 2020   paper / bibtex
	DIFFER: Moving Beyond 3D Reconstruction with Differentiable Feature Rendering K L Navaneet, Priyanka Mandikal, Varun Jampani, R. Venkatesh Babu Deep Generative Models for 3D Understanding (CVPR Workshop), Oral, 2019   paper / code / bibtex
	Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network Priyanka Mandikal and R. Venkatesh Babu Winter Conference on Applications of Computer Vision (WACV), 2019   paper / suppl / code / bibtex
	CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision K L Navaneet*, Priyanka Mandikal*, Mayank Agarwal, R. Venkatesh Babu AAAI Conference on Artificial Intelligence (AAAI), 2018   paper / code / bibtex
	3D-PSRNet: Part Segmented 3D Point Cloud Reconstruction Priyanka Mandikal*, K L Navaneet*, R. Venkatesh Babu 3D Reconstruction Meets Semantics (ECCV Workshop), 2018   paper / code / bibtex
	3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image Priyanka Mandikal*, Mayank Agarwal*, K L Navaneet*, R. Venkatesh Babu British Machine Vision Conference (BMVC), 2018   paper / code / bibtex