Understanding Bayesian Rooms Using Composite 3D Object Models
By Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard. 2013
88 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Abhinav Kumar Gupta
- Xiaogang Wang
- Jitendra Malik
- Wanli Ouyang
- Yoshua Bengio
- Trevor Darrell
- Kristen Grauman
- Luc Van Gool
Citations in the corpus
- On the Binding Problem in Artificial Neural Networks (2020, background): “The results that can be obtained by incorporating domain-specific knowledge are impressive (Zhao and Zhu, 2011; Del Pero et al., 2012, 2013; Tu et al., 2005; Tu and Zhu, 2002).”
- Picture: A probabilistic programming language for scene perception (2015, methodology): “Procedural graphics techniques [2, 10] would support far more complex object and scene models [50, 14, 7, 15].”
- Semantically-enriched 3D models for common-sense knowledge (2015, background): “The impact of gravity can be felt continuously by people and influences the structure of objects in the world.”
- Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models (2014, background): “Others have explored simplified 3D cuboid models for reasoning about outdoor scenes [18] or detecting and estimating pose for box-like objects such as printers, beds or sofas [15, 39], often using simplifying 3D box-layout constraints for indoor scenes [7, 11].”
- 3DNN: 3D Nearest Neighbor (2014, methodology): “The authors have recently extended their algorithm to refine hand-crafted parametric models of objects Pero et al. (2013).”
- GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving (2019, background): “Early works [26, 6, 29, 9, 5] use low-level feature or statistics analysis to tackle 3D recognition or recover tasks.”
- What's Behind the Couch? Directed Ray Distance Functions (DRDF) for 3D Scene Reconstruction (2021, methodology): “Early work often used vanishing-point-aligned box [12, 23] trained on annotated data.”
- Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects (2014, methodology): “Recently, more fine-grained, geometric representations have been successfully applied to the understanding of indoor scenes [7, 9, 38], where a box-like room layout is populated with furniture objects.”