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20212026
most citedImproved Pillar with Fine-grained Feature for 3D Object Detection

1 citations · 1 across the 9 of their papers we have counts for

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cs.CV2026

Geometry-Grounded Unified 3D Perception for Autonomous Driving

Longfei Xu, Xiaohui Wang, Zehao Huang +4

Camera-based autonomous driving perception requires a shared representation that preserves metric 3D structure across synchronized multi-camera streams. However, existing image-bas…

cs.CV2026

ViSTR-Bench: Can MLLMs Reason from Continuous Visual Cues in Dynamic Scenes?

Han Li, Si Liu, Zehao Huang +6

Multimodal Large Language Models (MLLMs) have achieved remarkable success across diverse expert-level tasks, but they still struggle with fundamental abilities that humans naturall…

cs.CV2026

Generative Lane Topology Reasoning via Autoregressive Model with Geometry Prior

Jiahui Fu, Zehao Huang, Han Li +2

Lane topology reasoning aims to construct a lane graph from onboard sensor observations. Existing methods follow a detection and association paradigm that treats each lane instance…

cs.CV2026

VGGT-Segmentor: Geometry-Enhanced Cross-View Segmentation

Yulu Gao, Bohao Zhang, Zongheng Tang +3

Instance-level object segmentation across disparate egocentric and exocentric views is a fundamental challenge in visual understanding, critical for applications in embodied AI and…

cs.CV2026

Geometry-Guided 3D Visual Token Pruning for Video-Language Models

Han Li, Zehao Huang, Jiahui Fu +2

Multimodal large language models have demonstrated remarkable capabilities in 2D vision, motivating their extension to 3D scene understanding. Recent studies represent 3D scenes as…

cs.CV2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning, Ganlong Zhao, Yipeng Qin +4

Aerial Vision-and-Language Navigation (Aerial VLN) enables unmanned aerial vehicles (UAVs) to follow natural language instructions and navigate complex urban environments. While re…