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Multi-view 3D visual grounding is critical for autonomous driving vehicles to interpret natural languages and localize target objects in complex environments. However, existing datasets and methods suffer from coarse-grained language…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Fuhao Li , Huan Jin , Bin Gao , Liaoyuan Fan , Lihui Jiang , Long Zeng

3D visual grounding aims to identify the target object within a 3D point cloud scene referred to by a natural language description. Previous works usually require significant data relating to point color and their descriptions to exploit…

Computer Vision and Pattern Recognition · Computer Science 2025-02-25 Tung-Yu Wu , Sheng-Yu Huang , Yu-Chiang Frank Wang

3D visual grounding is the ability to localize objects in 3D scenes conditioned by utterances. Most existing methods devote the referring head to localize the referred object directly, causing failure in complex scenarios. In addition, it…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Eslam Abdelrahman , Mohamed Ayman , Mahmoud Ahmed , Habib Slim , Mohamed Elhoseiny

3D vision-language grounding, which focuses on aligning language with the 3D physical environment, stands as a cornerstone in the development of embodied agents. In comparison to recent advancements in the 2D domain, grounding language in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-25 Baoxiong Jia , Yixin Chen , Huangyue Yu , Yan Wang , Xuesong Niu , Tengyu Liu , Qing Li , Siyuan Huang

Recent progress in 3D scene understanding has explored visual grounding (3DVG) to localize a target object through a language description. However, existing methods only consider the dependency between the entire sentence and the target…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Zhihao Yuan , Xu Yan , Zhuo Li , Xuhao Li , Yao Guo , Shuguang Cui , Zhen Li

Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene. It is an important part of a wide range of computer vision and robotics…

Computer Vision and Pattern Recognition · Computer Science 2021-09-13 Ara Jafarzadeh , Manuel Lopez Antequera , Pau Gargallo , Yubin Kuang , Carl Toft , Fredrik Kahl , Torsten Sattler

3D object grounding aims to locate the most relevant target object in a raw point cloud scene based on a free-form language description. Understanding complex and diverse descriptions, and lifting them directly to a point cloud is a new and…

Computer Vision and Pattern Recognition · Computer Science 2021-03-31 Mingtao Feng , Zhen Li , Qi Li , Liang Zhang , XiangDong Zhang , Guangming Zhu , Hui Zhang , Yaonan Wang , Ajmal Mian

Event cameras offer microsecond-level latency and robustness to motion blur, making them ideal for understanding dynamic environments. Yet, connecting these asynchronous streams to human language remains an open challenge. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Lingdong Kong , Dongyue Lu , Ao Liang , Rong Li , Yuhao Dong , Tianshuai Hu , Lai Xing Ng , Wei Tsang Ooi , Benoit R. Cottereau

In the field of autonomous driving, accurate and comprehensive perception of the 3D environment is crucial. Bird's Eye View (BEV) based methods have emerged as a promising solution for 3D object detection using multi-view images as input.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Qiu Zhou , Jinming Cao , Hanchao Leng , Yifang Yin , Yu Kun , Roger Zimmermann

Detecting vehicles and representing their position and orientation in the three dimensional space is a key technology for autonomous driving. Recently, methods for 3D vehicle detection solely based on monocular RGB images gained popularity.…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Nils Gählert , Nicolas Jourdan , Marius Cordts , Uwe Franke , Joachim Denzler

Autonomous trucking is a promising technology that can greatly impact modern logistics and the environment. Ensuring its safety on public roads is one of the main duties that requires an accurate perception of the environment. To achieve…

Computer Vision and Pattern Recognition · Computer Science 2024-11-12 Felix Fent , Fabian Kuttenreich , Florian Ruch , Farija Rizwin , Stefan Juergens , Lorenz Lechermann , Christian Nissler , Andrea Perl , Ulrich Voll , Min Yan , Markus Lienkamp

Embodied outdoor scene understanding forms the foundation for autonomous agents to perceive, analyze, and react to dynamic driving environments. However, existing 3D understanding is predominantly based on 2D Vision-Language Models (VLMs),…

Computer Vision and Pattern Recognition · Computer Science 2025-09-15 Runwei Guan , Jianan Liu , Ningwei Ouyang , Shaofeng Liang , Daizong Liu , Xiaolou Sun , Lianqing Zheng , Ming Xu , Yutao Yue , Guoqiang Mao , Hui Xiong

3D visual grounding aims to identify and localize objects in a 3D space based on textual descriptions. However, existing methods struggle with disentangling targets from anchors in complex multi-anchor queries and resolving inconsistencies…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Ronggang Huang , Haoxin Yang , Yan Cai , Xuemiao Xu , Huaidong Zhang , Shengfeng He

Grounding referring expressions in RGBD image has been an emerging field. We present a novel task of 3D visual grounding in single-view RGBD image where the referred objects are often only partially scanned due to occlusion. In contrast to…

Computer Vision and Pattern Recognition · Computer Science 2021-03-18 Haolin Liu , Anran Lin , Xiaoguang Han , Lei Yang , Yizhou Yu , Shuguang Cui

In this paper, we introduce the task of visual grounding for remote sensing data (RSVG). RSVG aims to localize the referred objects in remote sensing (RS) images with the guidance of natural language. To retrieve rich information from RS…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Yang Zhan , Zhitong Xiong , Yuan Yuan

3D Visual Grounding (3DVG) involves localizing target objects in 3D point clouds based on natural language. While prior work has made strides using textual descriptions, leveraging spoken language-known as Audio-based 3D Visual…

Machine Learning · Computer Science 2025-08-14 Duc Cao-Dinh , Khai Le-Duc , Anh Dao , Bach Phan Tat , Chris Ngo , Duy M. H. Nguyen , Nguyen X. Khanh , Thanh Nguyen-Tang

We introduce the task of 3D object localization in RGB-D scans using natural language descriptions. As input, we assume a point cloud of a scanned 3D scene along with a free-form description of a specified target object. To address this…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Dave Zhenyu Chen , Angel X. Chang , Matthias Nießner

Real-world robots localize objects from natural-language instructions while scenes around them keep changing. Yet most of the existing 3D visual grounding (3DVG) method still assumes a reconstructed and up-to-date point cloud, an assumption…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Miao Hu , Zhiwei Huang , Tai Wang , Jiangmiao Pang , Dahua Lin , Nanning Zheng , Runsen Xu

Interpreting natural-language commands to localize target objects is critical for autonomous driving (AD). Existing visual grounding (VG) methods for autonomous vehicles (AVs) typically struggle with ambiguous, context-dependent…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Haicheng Liao , Huanming Shen , Bonan Wang , Yongkang Li , Yihong Tang , Chengyue Wang , Dingyi Zhuang , Kehua Chen , Hai Yang , Chengzhong Xu , Zhenning Li

3D visual grounding has made notable progress in localizing objects within complex 3D scenes. However, grounding referring expressions beyond objects in 3D scenes remains unexplored. In this paper, we introduce Anywhere3D-Bench, a holistic…

Computer Vision and Pattern Recognition · Computer Science 2025-10-29 Tianxu Wang , Zhuofan Zhang , Ziyu Zhu , Yue Fan , Jing Xiong , Pengxiang Li , Xiaojian Ma , Qing Li