5 citations · 8 across the 11 of their papers we have counts for
11 papers
Latent Energy Action Planning with World Models
Phu Pham, Aniket Bera
Latent world models support efficient model predictive control from high-dimensional observations, yet optimizing a single learned latent objective can favor action sequences whose…
COLMAR: Cooperative View Policy Learning for Multi-Agent Active 3D Reconstruction
Phu Pham, Damon Conover, Aniket Bera
Active 3D reconstruction requires selecting informative viewpoints under limited sensing budgets. In multi-agent settings, coordination inefficiencies such as redundant observation…
TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning
Phu Pham, Damon Conover, Aniket Bera
Aerial-ground localization is difficult due to large viewpoint and modality gaps between ground-level LiDAR and overhead imagery. We propose TransLocNet, a cross-modal attention fr…
FlashSLAM: Accelerated RGB-D SLAM for Real-Time 3D Scene Reconstruction with Gaussian Splatting
Phu Pham, Damon Conover, Aniket Bera
We present FlashSLAM, a novel SLAM approach that leverages 3D Gaussian Splatting for efficient and robust 3D scene reconstruction. Existing 3DGS-based SLAM methods often fall short…
Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM
Phu Pham, Dipam Patel, Damon Conover +1
We introduce Go-SLAM, a novel framework that utilizes 3D Gaussian Splatting SLAM to reconstruct dynamic environments while embedding object-level information within the scene repre…
MVGaussian: High-Fidelity text-to-3D Content Generation with Multi-View Guidance and Surface Densification
Phu Pham, Aradhya N. Mathur, Ojaswa Sharma +1
The field of text-to-3D content generation has made significant progress in generating realistic 3D objects, with existing methodologies like Score Distillation Sampling (SDS) offe…
RL Dreams: Policy Gradient Optimization for Score Distillation based 3D Generation
Aradhya N. Mathur, Phu Pham, Aniket Bera +1
3D generation has rapidly accelerated in the past decade owing to the progress in the field of generative modeling. Score Distillation Sampling (SDS) based rendering has improved 3…
DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems
Dipam Patel, Phu Pham, Kshitij Tiwari +1
Resource-constrained robots often suffer from energy inefficiencies, underutilized computational abilities due to inadequate task allocation, and a lack of robustness in dynamic en…
Optimizing Crowd-Aware Multi-Agent Path Finding through Local Communication with Graph Neural Networks
Phu Pham, Aniket Bera
Multi-Agent Path Finding (MAPF) in crowded environments presents a challenging problem in motion planning, aiming to find collision-free paths for all agents in the system. MAPF fi…
DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields
Dipam Patel, Phu Pham, Aniket Bera
We present a novel optimization algorithm called DroNeRF for the autonomous positioning of monocular camera drones around an object for real-time 3D reconstruction using only a few…
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional Networks
Videsh Suman, Phu Pham, Aniket Bera
A key aspect of driving a road vehicle is to interact with other road users, assess their intentions and make risk-aware tactical decisions. An intuitive approach to enabling an in…