activity
20232025
collaborators

8 papers

cs.RO2025

Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control

Skand Peri, Akhil Perincherry, Bikram Pandit +1

Efficient robot control often requires balancing task performance with energy expenditure. A common approach in reinforcement learning (RL) is to penalize energy use directly as pa…

cs.CV2025

Harnessing Input-Adaptive Inference for Efficient VLN

Dongwoo Kang, Akhil Perincherry, Zachary Coalson +3

An emerging paradigm in vision-and-language navigation (VLN) is the use of history-aware multi-modal transformer models. Given a language instruction, these models process observat…

cs.CV2025

Do Visual Imaginations Improve Vision-and-Language Navigation Agents?

Akhil Perincherry, Jacob Krantz, Stefan Lee

Vision-and-Language Navigation (VLN) agents are tasked with navigating an unseen environment using natural language instructions. In this work, we study if visual representations o…

cs.CV2024

Geometry-guided Cross-view Diffusion for One-to-many Cross-view Image Synthesis

Tao Jun Lin, Wenqing Wang, Yujiao Shi +3

This paper presents a novel approach for cross-view synthesis aimed at generating plausible ground-level images from corresponding satellite imagery or vice versa. We refer to thes…

cs.CV2024

Weakly-supervised Camera Localization by Ground-to-satellite Image Registration

Yujiao Shi, Hongdong Li, Akhil Perincherry +1

The ground-to-satellite image matching/retrieval was initially proposed for city-scale ground camera localization. This work addresses the problem of improving camera pose accuracy…

cs.RO2024

Increasing SLAM Pose Accuracy by Ground-to-Satellite Image Registration

Yanhao Zhang, Yujiao Shi, Shan Wang +4

Vision-based localization for autonomous driving has been of great interest among researchers. When a pre-built 3D map is not available, the techniques of visual simultaneous local…

cs.CV2023

View Consistent Purification for Accurate Cross-View Localization

Shan Wang, Yanhao Zhang, Akhil Perincherry +2

This paper proposes a fine-grained self-localization method for outdoor robotics that utilizes a flexible number of onboard cameras and readily accessible satellite images. The pro…

cs.CV2023

Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer

Yujiao Shi, Fei Wu, Akhil Perincherry +2

Image retrieval-based cross-view localization methods often lead to very coarse camera pose estimation, due to the limited sampling density of the database satellite images. In thi…