Per-Pixel Feedback for improving Semantic Segmentation. - Aditya Ganeshan (CoRR, 2017)

Object Pose Estimation from Monocular Image Using Multi-view Keypoint Correspondence. - Jogendra Nath Kundu; M. V. Rahul; Aditya Ganeshan; R. Venkatesh Babu (ECCV Workshops (3), 2018)

iSPA-Net: Iterative Semantic Pose Alignment Network. - Jogendra Nath Kundu; Aditya Ganeshan; Rahul M. V.; Aditya Prakash 008; Venkatesh Babu R. (ACM Multimedia, 2018)

FDA: Feature Disruptive Attack. - Aditya Ganeshan; Vivek B. S.; Venkatesh Babu Radhakrishnan (ICCV, 2019)

Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations. - Konda Reddy Mopuri; Aditya Ganeshan; R. Venkatesh Babu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Meta-Learning Extractors for Music Source Separation. - David Samuel; Aditya Ganeshan; Jason Naradowsky (ICASSP, 2020)

Phonetroller: Visual Representations of Fingers for Precise Touch Input with Mobile Phones in VR. - Fabrice Matulic; Aditya Ganeshan; Hiroshi Fujiwara; Daniel Vogel 001 (CHI, 2021)

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. - Aditya Ganeshan; Alexis Vallet; Yasunori Kudo; Shin-ichi Maeda; Tommi Kerola; Rares Ambrus; Dennis Park; Adrien Gaidon (ICCV, 2021)

Improving Unsupervised Visual Program Inference with Code Rewriting Families. - Aditya Ganeshan; R. Kenny Jones; Daniel Ritchie (ICCV, 2023)

Skill Generalization with Verbs. - Rachel Ma; Lyndon Lam; Benjamin A. Spiegel; Aditya Ganeshan; Roma Patel; Ben Abbatematteo; David Paulius; Stefanie Tellex; George Konidaris 001 (IROS, 2023)

Learning to Edit Visual Programs with Self-Supervision. - R. Kenny Jones; Renhao Zhang; Aditya Ganeshan; Daniel Ritchie (NeurIPS, 2024)

Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases. - 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 (CoRR, 2024)

Creating Language-driven Spatial Variations of Icon Images. - Xianghao Xu; Aditya Ganeshan; Karl D. D. Willis; Yewen Pu; Daniel Ritchie (CoRR, 2024)

ParSEL: Parameterized Shape Editing with Language. - Aditya Ganeshan; Ryan Y. Huang; Xianghao Xu; R. Kenny Jones; Daniel Ritchie (ACM Trans. Graph., 2024)

Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy. - Aditya Ganeshan; Thibault Groueix; Paul Guerrero 001; Radomír Mech; Matthew Fisher; Daniel Ritchie (CVPR, 2025)

Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation. - Maxim Gumin; Do Heon Han; Seung Jean Yoo; Aditya Ganeshan; R. Kenny Jones; Rio Aguina-Kang; Stewart Morris; Daniel Ritchie (CoRR, 2025)