activity
20232026
most citedOnce Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

6 citations · 11 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

Yuxue Yang, Shuyao Shang, Jiahe Wang +13

Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them in this role extends beyond the apparent appearance of generated…

cs.CV2026

NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos

Yuxue Yang, Lue Fan, Ziqi Shi +3

In this paper, we propose NeoVerse, a versatile 4D world model that is capable of 4D reconstruction, novel-trajectory video generation, and rich downstream applications. We first i…

cs.CV2025

LayerAnimate: Layer-level Control for Animation

Yuxue Yang, Lue Fan, Zuzeng Lin +2

Traditional animation production decomposes visual elements into discrete layers to enable independent processing for sketching, refining, coloring, and in-betweening. Existing ani…

cs.CV2024★ 4 cited

Trim 3D Gaussian Splatting for Accurate Geometry Representation

Lue Fan, Yuxue Yang, Minxing Li +2

In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. Previous arts for geometry reconstruction from 3D Gaussians mainly…

cs.CV2024★ 1 cited

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

Label-efficient LiDAR-based 3D object detection is currently dominated by weakly/semi-supervised methods. Instead of exclusively following one of them, we propose MixSup, a more pr…

cs.CV2023★ 6 cited

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

Lue Fan, Yuxue Yang, Yiming Mao +4

This paper aims for high-performance offline LiDAR-based 3D object detection. We first observe that experienced human annotators annotate objects from a track-centric perspective.…

cs.CV2023

Super Sparse 3D Object Detection

Lue Fan, Yuxue Yang, Feng Wang +2

As the perception range of LiDAR expands, LiDAR-based 3D object detection contributes ever-increasingly to the long-range perception in autonomous driving. Mainstream 3D object det…