[1] Nicolas Carion et al. "End-to-End Object Detection with Transformers". In: ECCV. 2020.
[2] Ding-Jie Chen et al. "See-through-text grouping for referring image segmentation". In: ICCV. 2019, pp. 7454-7463.
[3] Xinpeng Chen et al. "Real-time Referring Expression Comprehension by Single-stage Grounding Network". In: arXiv preprint arXiv:1812.03426 (2018).
[4] Yen-Chun Chen et al. "UNITER: Learning Universal Image-Text Representations". In: (2019).
[5] Zhiyang Chen et al. "Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks". In: NeurIPS.
[6] Ching-Yao Chuang et al. "Learning to act properly: Predicting and explaining affordances from images". In: CVPR. 2018, pp. 975-983.
[7] Henghui Ding et al. "Vision-language transformer and query generation for referring segmentation". In: ICCV. 2021, pp. 16321-16330.
[8] Guang Feng et al. "Encoder fusion network with co-attention embedding for referring image segmentation". In: CVPR. 2021, pp. 15506-15515.
[9] Helmut Grabner, Juergen Gall, and Luc Van Gool. "What makes a chair a chair?" In: CVPR 2011. IEEE. 2011, pp. 1529-1536.
[10] Richang Hong et al. "Learning toCompose and Reason with Language Tree Structures for Visual Grounding". In: IEEE Transactions on Pattern Analysis and Machine Intelligence (2019).
[11] Ronghang Hu et al. "Modeling Relationships in Referential Expressions with Compositional Modular Networks". In: CVPR. 2017.
[12] Zhiwei Hu et al. "Bi-directional relationship inferring network for referring image segmentation". In: CVPR. 2020, pp. 4424-4433.
[13] Shaofei Huang et al. “Referring image segmentation via cross-modal progressive comprehension”. In: CVPR. 2020, pp. 10488–10497.
[14] Aishwarya Kamath et al. "MDETR-Modulated Detection for End-to-End Multi-Modal Understanding". In: ICCV. 2021.
[15] Sahar Kazemzadeh et al. “Referitgame: Referring to objects in photographs of natural scenes”. In: Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP). 2014, pp. 787-798.
[16] Ranjay Krishna et al. "Visual genome: Connecting language and vision using crowdsourced dense image annotations". In: International journal of computer vision 123 (2017), pp. 32-73.
[17] Muchen Li and Leonid Sigal. “Referring transformer: A one-step approach to multi-task visual grounding”. In: NeurIPS 34 (2021), pp. 19652–19664.
[18] Pengfei Li et al. "TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation". In: NeurIPS.
[19] Yue Liao et al. "A Real-time Cross-modality Correlation Filtering Method for Referring Expression Comprehension". In: CVPR. 2020.
[20] Tsung-Yi Lin et al. "Microsoft coco: Common objects in context". In: ECCV. Springer. 2014, pp. 740-755.
[21] Daqing Liu et al. "Learning to Assemble Neural Module Tree Networks for Visual Grounding". In: ICCV. 2019.
[22] Jiang Liu et al. "Polyformer: Referring image segmentation as sequential polygon generation". In: CVPR. 2023, pp. 18653-18663.
[23] Shilong Liu et al. "Grounding dino: Marrying dino with grounded pre-training for open-set object detection". In: arXiv preprint arXiv:2303.05499 (2023).
[24] Yinhan Liu et al. "RoBERTa: A Robustly Optimized BERT Pretraining Approach". In: arXiv preprint arXiv:1907.11692 (2019).
[25] Ilya Loshchilov and Frank Hutter. "Fixing Weight Decay Regularization in Adam". In: (2018).
[26] Jiasen Lu et al. "12-in-1: Multi-task vision and language representation learning". In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020, pp. 10437-10446.