9 accepted papers
Test-time adaptation (TTA) aims to enhance the cross-domain performance of pre-trained models by adapting to unlabeled test data.While most existing TTA methods rely on backpropagation (BP) for finetuning, BP-free methods such as zeroth-order (ZO) methods are more desired in practical on-device scen
Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications typically require real-time, precise, and robust plane segmentation processing, which presents a significant challe…
Navigating to out-of-sight targets from human instructions in unfamiliar environments is a core capability for service robots. Despite substantial progress, most approaches underutilize reusable, persistent memory, constraining performance in lifelong settings. Many are additionally limited to singl…
The capability of autonomous exploration in complex, unknown environments is important in many robotic applications. While recent research on autonomous exploration have achieved much progress, there are still limitations, e.g., existing methods relying on greedy heuristics or optimal path planning
Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications typically require real-time, precise, and robust plane segmentation processing, which presents a significant challe
Visual place recognition (VPR) is an essential tool in robotics perception and navigation. Though much progress has been made recently, the performance of VPR is far from satisfactory in challenging scenarios, such as large appearance variations, reverse viewpoints, and heterogeneous data. This work
Active simultaneous localization and mapping (SLAM) is an important technique for mobile robots to autonomously explore and map an environment. This letter considers the problem of active SLAM with a prior topo-metric graph. Unlike existing works, we consider a more challenging scenario that there e
Lossy compression algorithms are typically designed to achieve the lowest possible distortion at a given bit rate. However, recent studies show that pursuing high perceptual quality would lead to increase of the lowest achievable distortion (e.g., MSE). This paper provides nontrivial results theoret…
Action recognition has wide applications in assisted living, health monitoring, surveillance, and human-computer interaction. In traditional action recognition methods, RGB video-based ones are effective but computationally inefficient, while skeleton-based ones are computationally efficient but do…