1 citations · 1 across the 4 of their papers we have counts for
6 papers
AugLift: Depth-Aware Input Reparameterization Improves Domain Generalization in 2D-to-3D Pose Lifting
Nikolai Warner, Wenjin Zhang, Hamid Badiozamani +2
Lifting-based 3D human pose estimation infers 3D joints from 2D keypoints but generalizes poorly because coordinates alone are an ill-posed, sparse representation that disc…
Learning Complex Non-Rigid Image Edits from Multimodal Conditioning
Nikolai Warner, Jack Kolb, Meera Hahn +3
In this paper we focus on inserting a given human (specifically, a single image of a person) into a novel scene. Our method, which builds on top of Stable Diffusion, yields natural…
Text and Click inputs for unambiguous open vocabulary instance segmentation
Nikolai Warner, Meera Hahn, Jonathan Huang +2
Segmentation localizes objects in an image on a fine-grained per-pixel scale. Segmentation benefits by humans-in-the-loop to provide additional input of objects to segment using a…
BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning
Tianle Huang, Nitish Sontakke, K. Niranjan Kumar +4
Domain randomization (DR), which entails training a policy with randomized dynamics, has proven to be a simple yet effective algorithm for reducing the gap between simulation and t…
Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement
K. Niranjan Kumar, Irfan Essa, Sehoon Ha
Humanoid robots are well suited for human habitats due to their morphological similarity, but developing controllers for them is a challenging task that involves multiple sub-probl…
Automatic Multi-Path Web Story Creation from a Structural Article
Daniel Nkemelu, Peggy Chi, Daniel Castro Chin +2
Web articles such as Wikipedia serve as one of the major sources of knowledge dissemination and online learning. However, their in-depth information--often in a dense text format--…