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Related papers: DenseGrounding: Improving Dense Language-Vision Se…

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Dense captioning is a newly emerging computer vision topic for understanding images with dense language descriptions. The goal is to densely detect visual concepts (e.g., objects, object parts, and interactions between them) from images,…

Computer Vision and Pattern Recognition · Computer Science 2017-08-09 Linjie Yang , Kevin Tang , Jianchao Yang , Li-Jia Li

3D Visual Grounding (3DVG) aims to locate objects in 3D scenes based on textual descriptions, essential for applications like augmented reality and robotics. Traditional 3DVG approaches rely on annotated 3D datasets and predefined object…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Rong Li , Shijie Li , Lingdong Kong , Xulei Yang , Junwei Liang

Open-vocabulary 3D visual grounding and reasoning aim to localize objects in a scene based on implicit language descriptions, even when they are occluded. This ability is crucial for tasks such as vision-language navigation and autonomous…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Zhenyang Liu , Yikai Wang , Sixiao Zheng , Tongying Pan , Longfei Liang , Yanwei Fu , Xiangyang Xue

Unlike Object Detection, Visual Grounding task necessitates the detection of an object described by complex free-form language. To simultaneously model such complex semantic and visual representations, recent state-of-the-art studies adopt…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Weitai Kang , Luowei Zhou , Junyi Wu , Changchang Sun , Yan Yan

In this work, we focus on the problem of grounding language by training an agent to follow a set of natural language instructions and navigate to a target object in an environment. The agent receives visual information through raw pixels…

Computation and Language · Computer Science 2018-12-27 Akilesh B , Abhishek Sinha , Mausoom Sarkar , Balaji Krishnamurthy

Language-guided robotic grasping is a rapidly advancing field where robots are instructed using human language to grasp specific objects. However, existing methods often depend on dense camera views and struggle to quickly update scenes,…

Robotics · Computer Science 2024-12-04 Junqiu Yu , Xinlin Ren , Yongchong Gu , Haitao Lin , Tianyu Wang , Yi Zhu , Hang Xu , Yu-Gang Jiang , Xiangyang Xue , Yanwei Fu

The task of 3D semantic scene completion using monocular cameras is gaining significant attention in the field of autonomous driving. This task aims to predict the occupancy status and semantic labels of each voxel in a 3D scene from…

Computer Vision and Pattern Recognition · Computer Science 2024-11-27 Jiawei Yao , Jusheng Zhang , Xiaochao Pan , Tong Wu , Canran Xiao

3D visual grounding aims at grounding a natural language description about a 3D scene, usually represented in the form of 3D point clouds, to the targeted object region. Point clouds are sparse, noisy, and contain limited semantic…

Computer Vision and Pattern Recognition · Computer Science 2021-09-23 Zhengyuan Yang , Songyang Zhang , Liwei Wang , Jiebo Luo

Visual grounding (VG) aims to establish fine-grained alignment between vision and language. Ideally, it can be a testbed for vision-and-language models to evaluate their understanding of the images and texts and their reasoning abilities…

Computer Vision and Pattern Recognition · Computer Science 2023-07-24 Zhihong Chen , Ruifei Zhang , Yibing Song , Xiang Wan , Guanbin Li

Dense captioning in 3D point clouds is an emerging vision-and-language task involving object-level 3D scene understanding. Apart from coarse semantic class prediction and bounding box regression as in traditional 3D object detection, 3D…

Computer Vision and Pattern Recognition · Computer Science 2022-04-25 Heng Wang , Chaoyi Zhang , Jianhui Yu , Weidong Cai

Although great progress has been made in 3D visual grounding, current models still rely on explicit textual descriptions for grounding and lack the ability to reason human intentions from implicit instructions. We propose a new task called…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Chenming Zhu , Tai Wang , Wenwei Zhang , Kai Chen , Xihui Liu

Video Temporal Grounding (VTG) aims to localize temporal segments in long, untrimmed videos that align with a given natural language query. This task typically comprises two subtasks: Moment Retrieval (MR) and Highlight Detection (HD).…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Minseok Kang , Minhyeok Lee , Minjung Kim , Donghyeong Kim , Sangyoun Lee

Grounding 3D scene affordance aims to locate interactive regions in 3D environments, which is crucial for embodied agents to interact intelligently with their surroundings. Most existing approaches achieve this by mapping semantics to 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Cuiyu Liu , Wei Zhai , Yuhang Yang , Hongchen Luo , Sen Liang , Yang Cao , Zheng-Jun Zha

Object rearrangement has recently emerged as a key competency in robot manipulation, with practical solutions generally involving object detection, recognition, grasping and high-level planning. Goal-images describing a desired scene…

Robotics · Computer Science 2021-11-16 Walter Goodwin , Sagar Vaze , Ioannis Havoutis , Ingmar Posner

Constructing 4D language fields is crucial for embodied AI, augmented/virtual reality, and 4D scene understanding, as they provide enriched semantic representations of dynamic environments and enable open-vocabulary querying in complex…

Computer Vision and Pattern Recognition · Computer Science 2025-12-05 Xianfeng Wu , Yajing Bai , Minghan Li , Xianzu Wu , Xueqi Zhao , Zhongyuan Lai , Wenyu Liu , Xinggang Wang

This paper introduces Scene-LLM, a 3D-visual-language model that enhances embodied agents' abilities in interactive 3D indoor environments by integrating the reasoning strengths of Large Language Models (LLMs). Scene-LLM adopts a hybrid 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Rao Fu , Jingyu Liu , Xilun Chen , Yixin Nie , Wenhan Xiong

Effective scene representation is critical for the visual grounding ability of representations, yet existing methods for 3D Visual Grounding are often constrained. They either only focus on geometric and visual cues, or, like traditional 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Qinghongbing Xie , Zijian Liang , Fuhao Li , Long Zeng

3D visual grounding involves finding a target object in a 3D scene that corresponds to a given sentence query. Although many approaches have been proposed and achieved impressive performance, they all require dense object-sentence pair…

Computer Vision and Pattern Recognition · Computer Science 2023-07-19 Zehan Wang , Haifeng Huang , Yang Zhao , Linjun Li , Xize Cheng , Yichen Zhu , Aoxiong Yin , Zhou Zhao

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

Visual Grounding, also known as Referring Expression Comprehension and Phrase Grounding, aims to ground the specific region(s) within the image(s) based on the given expression text. This task simulates the common referential relationships…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Linhui Xiao , Xiaoshan Yang , Xiangyuan Lan , Yaowei Wang , Changsheng Xu