84 citations · 92 across the 14 of their papers we have counts for
15 papers
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…
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…
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…
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…
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…
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…
HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds
Team HY-World, Chenjie Cao, Xuhui Zuo +42
We introduce HY-World 2.0, a multi-modal world model framework that advances our prior project HY-World 1.0. HY-World 2.0 accommodates diverse input modalities, including text prom…
Eliminating Cross-modal Conflicts in BEV Space for LiDAR-Camera 3D Object Detection
Jiahui Fu, Chen Gao, Zitian Wang +4
Recent 3D object detectors typically utilize multi-sensor data and unify multi-modal features in the shared bird's-eye view (BEV) representation space. However, our empirical findi…
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Shaofei Huang, Zhenwei Shen, Zehao Huang +5
Monocular 3D lane detection is a challenging task due to its lack of depth information. A popular solution is to first transform the front-viewed (FV) images or features into the b…
Object as Query: Lifting any 2D Object Detector to 3D Detection
Zitian Wang, Zehao Huang, Jiahui Fu +2
3D object detection from multi-view images has drawn much attention over the past few years. Existing methods mainly establish 3D representations from multi-view images and adopt a…
Camouflaged Object Detection via Context-aware Cross-level Fusion
Geng Chen, Si-Jie Liu, Yu-Jia Sun +3
Camouflaged object detection (COD) aims to identify the objects that conceal themselves in natural scenes. Accurate COD suffers from a number of challenges associated with low boun…
Target-Driven Structured Transformer Planner for Vision-Language Navigation
Yusheng Zhao, Jinyu Chen, Chen Gao +5
Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions. For the agent, inferring the long-term navigation…
Reinforced Structured State-Evolution for Vision-Language Navigation
Jinyu Chen, Chen Gao, Erli Meng +2
Vision-and-language Navigation (VLN) task requires an embodied agent to navigate to a remote location following a natural language instruction. Previous methods usually adopt a seq…
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
Junyu Luo, Jiahui Fu, Xianghao Kong +5
3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description. Previous methods mostly follow a two-stage par…
Improved Pillar with Fine-grained Feature for 3D Object Detection
Jiahui Fu, Guanghui Ren, Yunpeng Chen +1
3D object detection with LiDAR point clouds plays an important role in autonomous driving perception module that requires high speed, stability and accuracy. However, the existing…