12 citations · 31 across the 7 of their papers we have counts for
8 papers
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
Qiao Gu, Alihusein Kuwajerwala, Sacha Morin +13
For robots to perform a wide variety of tasks, they require a 3D representation of the world that is semantically rich, yet compact and efficient for task-driven perception and pla…
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu, Dongsub Shim, Florian Shkurti
Catastrophic forgetting has been a major challenge in continual learning, where the model needs to learn new tasks with limited or no access to data from previously seen tasks. To…
ConceptFusion: Open-set Multimodal 3D Mapping
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu +14
Building 3D maps of the environment is central to robot navigation, planning, and interaction with objects in a scene. Most existing approaches that integrate semantic concepts wit…
OSSID: Online Self-Supervised Instance Detection by (and for) Pose Estimation
Qiao Gu, Brian Okorn, David Held
Real-time object pose estimation is necessary for many robot manipulation algorithms. However, state-of-the-art methods for object pose estimation are trained for a specific set of…
ZePHyR: Zero-shot Pose Hypothesis Rating
Brian Okorn, Qiao Gu, Martial Hebert +1
Pose estimation is a basic module in many robot manipulation pipelines. Estimating the pose of objects in the environment can be useful for grasping, motion planning, or manipulati…
iQUANT: Interactive Quantitative Investment Using Sparse Regression Factors
Xuanwu Yue, Qiao Gu, Deyun Wang +2
The model-based investing using financial factors is evolving as a principal method for quantitative investment. The main challenge lies in the selection of effective factors towar…
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Yanan Sun, Guanzhi Wang, Qiao Gu +2
Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent…
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup
Qiao Gu, Guanzhi Wang, Mang Tik Chiu +2
We propose a local adversarial disentangling network (LADN) for facial makeup and de-makeup. Central to our method are multiple and overlapping local adversarial discriminators in…