11 papers
Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
Yuchao Mei, Guohao Zhang, Luxia Ai +2
Safe quadrotor navigation in cluttered and dynamic environments depends not only on instantaneous geometric perception, but more critically on anticipating collision risks induced…
ReaMOT: A Benchmark and Framework for Reasoning-based Multi-Object Tracking
Sijia Chen, Yanqiu Yu, En Yu +1
Referring Multi-Object Tracking (RMOT) aims to track targets specified by language instructions. However, existing RMOT paradigms heavily rely on explicit visual-textual matching a…
PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training
Weifu Fu, Jinyang Li, Bin-Bin Gao +6
Open-Set Object Detection (OSOD) enables recognition of novel categories beyond fixed classes but faces challenges in aligning text representations with complex visual concepts and…
ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking
Sijia Chen, Zihan Zhou, Yanqiu Yu +2
Multi-Object Tracking (MOT) is a fundamental task in computer vision, aiming to track targets across video frames. Existing MOT methods perform well in general visual scenes, but f…
DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
Sijia Chen, Lijuan Ma, Yanqiu Yu +3
Referring Multi-Object Tracking (RMOT) aims to track specific targets based on language descriptions and is vital for interactive AI systems such as robotics and autonomous driving…
Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion
Enyu Liu, En Yu, Sijia Chen +1
3D Semantic Scene Completion (SSC) has gained increasing attention due to its pivotal role in 3D perception. Recent advancements have primarily focused on refining voxel-level feat…