activity
20122026
most citedContext-aware Deep Feature Compression for High-speed Visual Tracking

246 citations · 478 across the 26 of their papers we have counts for

collaborators

28 papers

cs.RO2026

Control Without Control: Defining Implicit Interaction Paradigms for Autonomous Assistive Robots

Janavi Gupta, Kavya Puthuveetil, Dimitra Tsakona +3

Assistive robotic systems have shown growing potential to improve the quality of life of those with disabilities. As researchers explore the automation of various caregiving tasks,…

cs.RO2026

ViTac-Tracing: Visual-Tactile Imitation Learning of Deformable Object Tracing

Yongqiang Zhao, Haining Luo, Yupeng Wang +3

Deformable objects often appear in unstructured configurations. Tracing deformable objects helps bringing them into extended states and facilitating the downstream manipulation tas…

cs.CY2025★ 1 cited

The Impact of Building-Induced Visibility Restrictions on Intersection Accidents

Hanlin Tian, Yuxiang Feng, Wei Zhou +4

Traffic accidents, especially at intersections, are a major road safety concern. Previous research has extensively studied intersection-related accidents, but the effect of buildin…

cs.RO2024

Ego-Foresight: Self-supervised Learning of Agent-Aware Representations for Improved RL

Manuel Serra Nunes, Atabak Dehban, Yiannis Demiris +1

Despite the significant advances in Deep Reinforcement Learning (RL) observed in the last decade, the amount of training experience necessary to learn effective policies remains on…

cs.RO2024★ 3 cited

Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation

Hanlin Tian, Kethan Reddy, Yuxiang Feng +3

This paper introduces CRITICAL, a novel closed-loop framework for autonomous vehicle (AV) training and testing. CRITICAL stands out for its ability to generate diverse scenarios, f…

cs.CV2023

Self-Supervised RGB-T Tracking with Cross-Input Consistency

Xingchen Zhang, Yiannis Demiris

In this paper, we propose a self-supervised RGB-T tracking method. Different from existing deep RGB-T trackers that use a large number of annotated RGB-T image pairs for training,…