activity
20232026
most citedMLS-Track: Multilevel Semantic Interaction in RMOT

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Uruqi: Learning Spatial Cognition from Visual Experience

Shichao Li, Meiqi Wang, Fei Su +1

Spatial intelligence requires maintaining a coherent understanding of the world as the embodied agent moves. Like humans, the agent must use its own motion to interpret changes acr…

cs.CV2026

H-OPD: Confidence Aware Heterogeneous Multi-Teacher Multimodal On-policy Distillation

Qixiang Yin, Huanjin Yao, Yuchen Cai +5

On-policy distillation (OPD) has recently emerged as an effective post-training paradigm by providing supervision on student-generated trajectories. However, existing OPD methods f…

cs.CV2024

Hierarchical IoU Tracking based on Interval

Yunhao Du, Zhicheng Zhao, Fei Su

Multi-Object Tracking (MOT) aims to detect and associate all targets of given classes across frames. Current dominant solutions, e.g. ByteTrack and StrongSORT++, follow the hybrid…

cs.CV2024

MindShot: A Few-Shot Brain Decoding Framework via Transferring Cross-Subject Prior and Distilling Frequency Domain Knowledge

Shuai Jiang, Zhu Meng, Haiwen Li +3

Aiming to reconstruct visual stimuli from brain signals, brain decoding has recently made significant progress using functional magnetic resonance imaging (fMRI). However, it still…

cs.CV2024★ 2 cited

MLS-Track: Multilevel Semantic Interaction in RMOT

Zeliang Ma, Song Yang, Zhe Cui +4

The new trend in multi-object tracking task is to track objects of interest using natural language. However, the scarcity of paired prompt-instance data hinders its progress. To ad…

cs.CV2024★ 1 cited

YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions

Yunhao Du, Zhicheng Zhao, Fei Su

Visible-infrared person re-identification (VI-ReID) is challenging due to considerable cross-modality discrepancies. Existing works mainly focus on learning modality-invariant feat…

cs.AI2023★ 1 cited

OpenDriver: An Open-Road Driver State Detection Dataset

Delong Liu, Shichao Li, Tianyi Shi +5

Among numerous studies for driver state detection, wearable physiological measurements offer a practical method for real-time monitoring. However, there are few driver physiologica…