Daniel Ritchie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
16
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | LAK | From Wandering to Collaboration: Discourse Patterns in Middle School Generative AI Use. | Daniel Ritchie, Nia Nixon, Tamara P. Tate, Mark Warschauer |
| 2026 | SIGGRAPH | Gradient-based Approximation of Nonuniform Low-Discrepancy Samples. | Xiangyu Li, Ege Ciklabakkal, Daniel Ritchie, Toshiya Hachisuka |
| 2026 | WACV | GenHSI: Controllable Generation of Human-Scene Interaction Videos. | Zekun Li, Rui Zhou, Rahul Sajnani, Xiaoyan Cong, Daniel Ritchie, Srinath Sridhar |
| 2025 | AIED | Supporting Middle School English Teachers' AI Literacy Goals Through a Generative AI Tutor. | Daniel Ritchie, Tamara P. Tate, Yi Zhang, Kristi Werry, Mark Warschauer |
| 2025 | CVPR | GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities. | Rao Fu, Dingxi Zhang, Alex Jiang, Wanjia Fu, Austin Funk, Daniel Ritchie, Srinath Sridhar |
| 2025 | CVPR | Pattern Analogies: Learning to Perform Programmatic Image Edits by Analogy. | Aditya Ganeshan, Thibault Groueix, Paul Guerrero, Radomr Mech, Matthew Fisher, Daniel Ritchie |
| 2025 | ICCV | Diorama: Unleashing Zero-Shot Single-View 3D Indoor Scene Modeling. | Qirui Wu, Denys Iliash, Daniel Ritchie, Manolis Savva, Angel X. Chang |
| 2025 | SiggraphA | Procedural Scene Programs for Open-Universe Scene Generation: LLM-Free Error Correction via Program Search. | Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Kailiang Fu, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie |
| 2025 | SiggraphA | PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples. | Junyu Liu, R. Kenny Jones, Daniel Ritchie |
| 2024 | ECCV | R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding. | Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X. Chang |
| 2024 | ICML | Learning to Infer Generative Template Programs for Visual Concepts. | R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie |
| 2023 | CVPR | CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language. | Aditya Sanghi, Rao Fu, Vivian Liu, Karl D. D. Willis, Hooman Shayani, Amir Hosein Khasahmadi, Srinath Sridhar, Daniel Ritchie |
| 2023 | CVPR | Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly. | Xianghao Xu, Paul Guerrero, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie |
| 2023 | ICCV | Improving Unsupervised Visual Program Inference with Code Rewriting Families. | Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie |
| 2023 | SiggraphA | Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Models. | Arman Maesumi, Paul Guerrero, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Siddhartha Chaudhuri, Daniel Ritchie |
| 2022 | ACL | Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension. | Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, Mark Warschauer |
| 2022 | CHI | StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement. | Zheng Zhang, Ying Xu, Yanhao Wang, Bingsheng Yao, Daniel Ritchie, Tongshuang Wu, Mo Yu, Dakuo Wang, Toby Jia-Jun Li |
| 2022 | CVPR | The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. | R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie |
| 2022 | CVPR | PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. | R. Kenny Jones, Homer Walke, Daniel Ritchie |
| 2022 | ECCV | The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts. | Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie |
| 2022 | ICRA | Learning to Infer Kinematic Hierarchies for Novel Object Instances. | Hameed Abdul-Rashid, Miles Freeman, Ben Abbatematteo, George Konidaris, Daniel Ritchie |
| 2022 | SIGGRAPH | Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections. | Xianghao Xu, Yifan Ruan, Srinath Sridhar, Daniel Ritchie |
| 2021 | CVPR | Inferring CAD Modeling Sequences Using Zone Graphs. | Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie |
| 2020 | ECCV | GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation. | Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang |
| 2019 | CVPR | Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models. | Daniel Ritchie, Kai Wang, Yu-An Lin |
| 2019 | ICLR | Learning to Describe Scenes with Programs. | Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu |
| 2018 | CVPR | ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. | Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jrgen Sturm, Matthias Niener |
| 2018 | ECCV | Improving Shape Deformation in Unsupervised Image-to-Image Translation. | Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin |
| 2016 | AISTATS | C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching. | Daniel Ritchie, Andreas Stuhlmller, Noah D. Goodman |
| 2014 | PLDI | First-class runtime generation of high-performance types using exotypes. | Zachary DeVito, Daniel Ritchie, Matthew Fisher, Alex Aiken, Pat Hanrahan |
| 2011 | UIST | d.tour: style-based exploration of design example galleries. | Daniel Ritchie, Ankita Arvind Kejriwal, Scott R. Klemmer |