Aditya Ganeshan

32 papers A* 8A 1Misc 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation.
CoRR
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
MiGumi: Making Tightly Coupled Integral Joints Millable.
CoRR
Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob, Ariel Shamir, Daniel Ritchie, Takeo Igarashi, Maria Larsson
2025 J jnl
MiGumi: Making Tightly Coupled Integral Joints Millable.
ACM Trans. Graph.
Aditya Ganeshan, Kurt Fleischer, Wenzel Jakob, Ariel Shamir, Daniel Ritchie, Takeo Igarashi, Maria Larsson
2025 A* conf
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy.
CVPR
Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie
2025 A* conf
Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search.
SIGGRAPH Asia
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Kailiang Fu, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search.
CoRR
Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Kailiang Fu, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie
2025 J jnl
Residual Primitive Fitting of 3D Shapes with SuperFrusta.
CoRR
Aditya Ganeshan, Matheus Gadelha, Thibault Groueix, Zhiqin Chen, Siddhartha Chaudhuri, Vladimir G. Kim, Wang Yifan, Daniel Ritchie
2024 J jnl
Creating Language-driven Spatial Variations of Icon Images.
CoRR
Xianghao Xu, Aditya Ganeshan, Karl D. D. Willis, Yewen Pu, Daniel Ritchie
2024 A* conf
Learning to Edit Visual Programs with Self-Supervision.
NeurIPS
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
2024 J jnl
Learning to Edit Visual Programs with Self-Supervision.
CoRR
R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
2024 J jnl
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases.
CoRR
Rio Aguina-Kang, Maxim Gumin, Do Heon Han, Stewart Morris, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Qiuhong Anna Wei, Kailiang Fu, Daniel Ritchie
2024 J jnl
ParSEL: Parameterized Shape Editing with Language.
CoRR
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
2024 J jnl
ParSEL: Parameterized Shape Editing with Language.
ACM Trans. Graph.
Aditya Ganeshan, Ryan Y. Huang, Xianghao Xu, R. Kenny Jones, Daniel Ritchie
2024 J jnl
Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy.
CoRR
Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomír Mech, Matthew Fisher, Daniel Ritchie
2024 J jnl
Skill Generalization with Verbs.
CoRR
Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris
2023 A* conf
Improving Unsupervised Visual Program Inference with Code Rewriting Families.
ICCV
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
2023 J jnl
Improving Unsupervised Visual Program Inference with Code Rewriting Families.
CoRR
Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie
2023 A conf
Skill Generalization with Verbs.
IROS
Rachel Ma, Lyndon Lam, Benjamin A. Spiegel, Aditya Ganeshan, Roma Patel, Ben Abbatematteo, David Paulius, Stefanie Tellex, George Konidaris
2021 A* conf
Phonetroller: Visual Representations of Fingers for Precise Touch Input with Mobile Phones in VR.
CHI
Fabrice Matulic, Aditya Ganeshan, Hiroshi Fujiwara, Daniel Vogel
2021 A* conf
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.
ICCV
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2021 J jnl
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.
CoRR
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2020 Misc conf
Meta-Learning Extractors for Music Source Separation.
ICASSP
David Samuel, Aditya Ganeshan, Jason Naradowsky
2020 J jnl
Meta-learning Extractors for Music Source Separation.
CoRR
David Samuel, Aditya Ganeshan, Jason Naradowsky
2019 A* conf
FDA: Feature Disruptive Attack.
ICCV
Aditya Ganeshan, Vivek B. S., Venkatesh Babu Radhakrishnan
2019 J jnl
FDA: Feature Disruptive Attack.
CoRR
Aditya Ganeshan, Vivek B. S., R. Venkatesh Babu
2019 J jnl
Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations.
IEEE Trans. Pattern Anal. Mach. Intell.
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2018 J jnl
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations.
CoRR
Konda Reddy Mopuri, Aditya Ganeshan, R. Venkatesh Babu
2018 — conf
Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence.
ECCV Workshops (3)
Jogendra Nath Kundu, M. V. Rahul, Aditya Ganeshan, R. Venkatesh Babu
2018 J jnl
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence.
CoRR
Jogendra Nath Kundu, Rahul M. V., Aditya Ganeshan, R. Venkatesh Babu
2018 A* conf
iSPA-Net: Iterative Semantic Pose Alignment Network.
ACM Multimedia
Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, Venkatesh Babu R.
2018 J jnl
iSPA-Net: Iterative Semantic Pose Alignment Network.
CoRR
Jogendra Nath Kundu, Aditya Ganeshan, Rahul M. V., Aditya Prakash, R. Venkatesh Babu
2017 J jnl
Per-Pixel Feedback for improving Semantic Segmentation.
CoRR
Aditya Ganeshan