19 citations · 38 across the 8 of their papers we have counts for
9 papers
Controllable Video Generation by Learning the Underlying Dynamical System with Neural ODE
Yucheng Xu, Li Nanbo, Arushi Goel +5
Videos depict the change of complex dynamical systems over time in the form of discrete image sequences. Generating controllable videos by learning the dynamical system is an impor…
Illumination-Invariant Active Camera Relocalization for Fine-Grained Change Detection in the Wild
Nan Li, Wei Feng, Qian Zhang
Active camera relocalization (ACR) is a new problem in computer vision that significantly reduces the false alarm caused by image distortions due to camera pose misalignment in fin…
Align-Deform-Subtract: An Interventional Framework for Explaining Object Differences
Cian Eastwood, Li Nanbo, Christopher K. I. Williams
Given two object images, how can we explain their differences in terms of the underlying object properties? To address this question, we propose Align-Deform-Subtract (ADS) -- an i…
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Li Nanbo, Cian Eastwood, Robert B. Fisher
Learning object-centric representations of multi-object scenes is a promising approach towards machine intelligence, facilitating high-level reasoning and control from visual senso…
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
Li Nanbo, Muhammad Ahmed Raza, Hu Wenbin +2
Learning object-centric scene representations is essential for attaining structural understanding and abstraction of complex scenes. Yet, as current approaches for unsupervised obj…
DUGMA: Dynamic Uncertainty-Based Gaussian Mixture Alignment
Can Pu, Nanbo Li, Radim Tylecek +1
Registering accurately point clouds from a cheap low-resolution sensor is a challenging task. Existing rigid registration methods failed to use the physical 3D uncertainty distribu…
Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks
Can Pu, Runzi Song, Radim Tylecek +2
Refining raw disparity maps from different algorithms to exploit their complementary advantages is still challenging. Uncertainty estimation and complex disparity relationships amo…
Hybrid Multi-camera Visual Servoing to Moving Target
Hanz Cuevas-Velasquez, Nanbo Li, Radim Tylecek +2
Visual servoing is a well-known task in robotics. However, there are still challenges when multiple visual sources are combined to accurately guide the robot or occlusions appear.…
Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models
Can Pu, Nanbo Li, Robert B Fisher
Matching 3D rigid point clouds in complex environments robustly and accurately is still a core technique used in many applications. This paper proposes a new architecture combining…