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20212025
most citedForesight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

EagleVision: A Dual-Stage Framework with BEV-grounding-based Chain-of-Thought for Spatial Intelligence

Jiaxu Wan, Xu Wang, Mengwei Xie +6

Video-based spatial reasoning -- such as estimating distances, judging directions, or understanding layouts from multiple views -- requires selecting informative frames and, when n…

cs.CV2025

Online Navigation Refinement: Achieving Lane-Level Guidance by Associating Standard-Definition and Online Perception Maps

Jiaxu Wan, Xu Wang, Mengwei Xie +7

Lane-level navigation is critical for geographic information systems and navigation-based tasks, offering finer-grained guidance than road-level navigation by standard definition (…

cs.CV2024

SPT: Sparse Proxy Attention for Dual-stream Point Transformer

Jiaxu Wan, Hong Zhang, Ziqi He +4

Point transformers have demonstrated remarkable progress in 3D understanding through expanded receptive fields (RF), but further expanding the RF leads to dilution in group attenti…

cs.CV2022★ 1 cited

DSRRTracker: Dynamic Search Region Refinement for Attention-based Siamese Multi-Object Tracking

JiaXu Wan, Hong Zhang, Jin Zhang +4

Many multi-object tracking (MOT) methods follow the framework of "tracking by detection", which associates the target objects-of-interest based on the detection results. However, d…

cs.LG2021★ 2 cited

Foresight of Graph Reinforcement Learning Latent Permutations Learnt by Gumbel Sinkhorn Network

Tianqi Shen, Hong Zhang, Ding Yuan +2

Vital importance has necessity to be attached to cooperation in multi-agent environments, as a result of which some reinforcement learning algorithms combined with graph neural net…