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3D visual grounding aims to find the object within point clouds mentioned by free-form natural language descriptions with rich semantic cues.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho, and Yoshua Bengio · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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Generating semantically precise scene graphs from textual descriptions for improved image retrieval
Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei, and Christopher D Manning · 2015
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Visual grounding via accumulated attention
Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, and Mingkui Tan · 2018
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Deep hough voting for 3d object detection in point clouds
Charles R Qi, Or Litany, Kaiming He, and Leonidas J Guibas · 2019
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Unified visual-semantic embeddings: Bridging vision and language with structured meaning representations
Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, and Wei-Ying Ma · 2019
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Referit3d: Neural listeners for fine-grained 3d object identification in real-world scenes
Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, and Leonidas Guibas · 2020
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Scanrefer: 3d object localization in rgb-d scans using natural language
Dave Zhenyu Chen, Angel X Chang, and Matthias Nießner · 2020
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
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Learning cross-modal context graph for visual grounding
Yongfei Liu, Bo Wan, Xiaodan Zhu, and Xuming He · 2020
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Embodied language grounding with 3d visual feature representations
Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, and Katerina Fragkiadaki · 2020
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Reverie: Remote embodied visual referring expression in real indoor environments
Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, and Anton van den Hengel · 2020
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Hierarchical aggregation for 3d instance segmentation
Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, and Xinggang Wang · 2021
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Scan2cap: Context-aware dense captioning in rgb-d scans
Zhenyu Chen, Ali Gholami, Matthias Nießner, and Angel X Chang · 2021
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Transvg: End-to-end visual grounding with transformers
Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, and Houqiang Li · 2021
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Free-form description guided 3d visual graph network for object grounding in point cloud
Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, XiangDong Zhang, Guangming Zhu, Hui Zhang, Yaonan Wang, and Ajmal Mian · 2021
Earlier work this paper cites.
Transrefer3d: Entity-and-relation aware transformer for fine-grained 3d visual grounding
Dailan He, Yusheng Zhao, Junyu Luo, Tianrui Hui, Shaofei Huang, Aixi Zhang, and Si Liu · 2021
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Vln bert: A recurrent vision-and-language bert for navigation
Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez-Opazo, and Stephen Gould · 2021
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Text-guided graph neural networks for referring 3d instance segmentation
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, and Tyng-Luh Liu · 2021
Cited alongside, same era.
Mdetr-modulated detection for end-to-end multi-modal understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, and Nicolas Carion · 2021
Cited alongside, same era.
Refer-it-in-rgbd: A bottom-up approach for 3d visual grounding in rgbd images
Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, and Shuguang Cui · 2021
Cited alongside, same era.
Group-free 3d object detection via transformers
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, and Xin Tong · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Auto qa: The question is not only what, but also where
Sumit Kumar, Badri N Patro, and Vinay P Namboodiri · 2022
Closest in time.
Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2022
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Depth and video segmentation based visual attention for embodied question answering
Haonan Luo, Guosheng Lin, Yazhou Yao, Fayao Liu, Zichuan Liu, and Zhenming Tang · 2022
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3d-sps: Single-stage 3d visual grounding via referred point progressive selection
Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, and Si Liu · 2022
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Sqa3d: Situated question answering in 3d scenes
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, and Siyuan Huang · 2022
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Sinan Tan, Mengmeng Ge, Di Guo, Huaping Liu, and Fuchun Sun · 2021
Cited alongside, same era.
Sat: 2d semantics assisted training for 3d visual grounding
Zhengyuan Yang, Songyang Zhang, Liwei Wang, and Jiebo Luo · 2021
Cited alongside, same era.
Instancerefer: Cooperative holistic understanding for visual grounding on point clouds through instance multi-level contextual referring
Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, and Shuguang Cui · 2021
Cited alongside, same era.
3dvg-transformer: Relation modeling for visual grounding on point clouds
Lichen Zhao, Daigang Cai, Lu Sheng, and Dong Xu · 2021
Cited alongside, same era.
Ahmed Abdelreheem, Kyle Olszewski, Hsin-Ying Lee, Peter Wonka, and Panos Achlioptas · 2022
Cited alongside, same era.
3dreftransformer: Fine-grained object identification in real-world scenes using natural language
Ahmed Abdelreheem, Ujjwal Upadhyay, Ivan Skorokhodov, Rawan Al Yahya, Jun Chen, and Mohamed Elhoseiny · 2022
Cited alongside, same era.
Scanqa: 3d question answering for spatial scene understanding
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe · 2022
Cited alongside, same era.
Sudipta Paul, Amit K Roy-Chowdhury, and Anoop Cherian · 2022
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Hop: History-and-order aware pre-training for vision-and-language navigation
Yanyuan Qiao, Yuankai Qi, Yicong Hong, Zheng Yu, Peng Wang, and Qi Wu · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Languagerefer: Spatial-language model for 3d visual grounding
Junha Roh, Karthik Desingh, Ali Farhadi, and Dieter Fox · 2022
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Language-grounded indoor 3d semantic segmentation in the wild
David Rozenberszki, Or Litany, and Angela Dai · 2022
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Clip-fields: Weakly supervised semantic fields for robotic memory
Nur Muhammad Mahi Shafiullah, Chris Paxton, Lerrel Pinto, Soumith Chintala, and Arthur Szlam · 2022
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Softgroup for 3d instance segmentation on point clouds
Thang Vu, Kookhoi Kim, Tung M Luu, Thanh Nguyen, and Chang D Yoo · 2022
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Spatiality-guided transformer for 3d dense captioning on point clouds
Heng Wang, Chaoyi Zhang, Jianhui Yu, and Weidong Cai · 2022
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Improving visual grounding with visual-linguistic verification and iterative reasoning
Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, and Weiming Hu · 2022
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X-trans2cap: Cross-modal knowledge transfer using transformer for 3d dense captioning
Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Shuguang Cui, and Zhen Li · 2022
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GLIPv2: Unifying localization and vision-language understanding
Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, and Jianfeng Gao · 2022
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Pointclip: Point cloud understanding by clip
Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, and Hongsheng Li · 2022
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Learning 3d representations from 2d pre-trained models via image-to-point masked autoencoders
Renrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, and Hongsheng Li · 2022
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Can language understand depth?
Renrui Zhang, Ziyao Zeng, Ziyu Guo, and Yafeng Li · 2022
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Pointclip v2: Adapting clip for powerful 3d open-world learning
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyao Zeng, Shanghang Zhang, and Peng Gao · 2022
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Pimae: Point cloud and image interactive masked autoencoders for 3d object detection
Anthony Chen, Kevin Zhang, Renrui Zhang, Zihan Wang, Yuheng Lu, Yandong Guo, and Shanghang Zhang · 2023
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End-to-end 3d dense captioning with vote2cap-detr
Sijin Chen, Hongyuan Zhu, Xin Chen, Yinjie Lei, Tao Chen, and Gang YU · 2023
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Joint-mae: 2d-3d joint masked autoencoders for 3d point cloud pre-training
Ziyu Guo, Xianzhi Li, and Pheng Ann Heng · 2023
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3d concept learning and reasoning from multi-view images
Yining Hong, Chunru Lin, Yilun Du, Zhenfang Chen, Joshua B Tenenbaum, and Chuang Gan · 2023
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Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners
Renrui Zhang, Xiangfei Hu, Bohao Li, Siyuan Huang, Hanqiu Deng, Hongsheng Li, Yu Qiao, and Peng Gao · 2023
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Parameter is not all you need: Starting from non-parametric networks for 3d point cloud analysis
Renrui Zhang, Liuhui Wang, Yali Wang, Peng Gao, Hongsheng Li, and Jianbo Shi · 2023
Closest in time.