Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds

Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: A large-scale hierarchical image database. In: Proc. CVPR (2009)

2009

Earlier work this paper cites.

Ordonez, V., Kulkarni, G., Berg, T.: Im2text: Describing images using 1 million captioned photographs. In: Proc. NIPS (2011)

2011

Earlier work this paper cites.

Kazemzadeh, S., Ordonez, V., Matten, M.A., Berg, T.L.: ReferItGame: Referring to Objects in Photographs of Natural Scenes. In: Proc. EMNLP (2014)

2014

Earlier work this paper cites.

Lin, T.Y., Maire, M., Belongie, S.J., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft COCO: Common Objects in Context. In: Proc. ECCV (2014)

2014

Earlier work this paper cites.

Fang, H., Gupta, S., Iandola, F., Srivastava, R.K., Deng, L., Dollár, P., Gao, J., He, X., Mitchell, M., Platt, J.C., et al.: From Captions to Visual Concepts and Back. In: Proc. CVPR (2015)

2015

Earlier work this paper cites.

Karpathy, A., Fei-Fei, L.: Deep Visual-semantic Alignments for Generating Image Descriptions. In: Proc. CVPR (2015)

2015

Earlier work this paper cites.

Plummer, B.A., Wang, L., Cervantes, C.M., Caicedo, J.C., Hockenmaier, J., Lazebnik, S.: Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. In: Proc. ICCV (2015)

2015

Earlier work this paper cites.

Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: Towards Real-time Object Detection with Region Proposal Networks. In: Proc. NIPS (2015)

2015

Earlier work this paper cites.

Fukui, A., Park, D.H., Yang, D., Rohrbach, A., Darrell, T., Rohrbach, M.: Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding. In: Proc. EMNLP (2016)

2016

Earlier work this paper cites.

He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 770–778 (2016)

2016

Earlier work this paper cites.

He, K., Zhang, X., Ren, S., Sun, J.: Deep Residual Learning for Image Recognition. In: Proc. CVPR (2016)

2016

Earlier work this paper cites.

Johnson, J., Karpathy, A., Fei-Fei, L.: DenseCap: Fully Convolutional Localization Networks for Dense Captioning. In: Proc. CVPR (2016)

2016

Earlier work this paper cites.

Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.J., Shamma, D.A., Bernstein, M.S., Fei-Fei, L.: Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. International Journal of Computer Vision

2016

Earlier work this paper cites.

Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S.E., Fu, C., Berg, A.C.: SSD: Single Shot MultiBox Detector. In: Proc. ECCV (2016)

2016

Earlier work this paper cites.

Mao, J., Huang, J., Toshev, A., Camburu, O.M., Yuille, A.L., Murphy, K.P.: Generation and Comprehension of Unambiguous Object Descriptions. In: Proc. CVPR (2016)

2016

Earlier work this paper cites.

Redmon, J., Divvala, S.K., Girshick, R.B., Farhadi, A.: You Only Look Once: Unified, Real-Time Object Detection. In: Proc. CVPR (2016)

2016

Earlier work this paper cites.

Yu, L., Poirson, P., Yang, S., Berg, A.C., Berg, T.L.: Modeling Context in Referring Expressions. In: Proc. ECCV (2016)

2016

Earlier work this paper cites.

Dai, A., Chang, A.X., Savva, M., Halber, M., Funkhouser, T.A., Nießner, M.: ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. In: Proc. CVPR (2017)

2017

Earlier work this paper cites.

He, K., Gkioxari, G., Dollár, P., Girshick, R.B.: Mask R-CNN. In: Proc. ICCV (2017)

2017

Earlier work this paper cites.

Hu, R., Rohrbach, M., Andreas, J., Darrell, T., Saenko, K.: Modeling Relationships in Referential Expressions with Compositional Modular Networks. In: Proc. CVPR (2017)

2017

Cited alongside, same era.

Lin, T.Y., Goyal, P., Girshick, R.B., He, K., Dollár, P.: Focal Loss for Dense Object Detection. In: Proc. ICCV (2017)

2017

Cited alongside, same era.

Qi, C., Yi, L., Su, H., Guibas, L.J.: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. In: Proc. NIPS (2017)

2017

Cited alongside, same era.

Vaswani, A., Shazeer, N.M., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I.: Attention is All you Need. In: Proc. NIPS (2017)

2017

Cited alongside, same era.

Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., Zhang, L.: Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering. In: Proc. CVPR (2018)

Gan, Z., Chen, Y.C., Li, L., Zhu, C., Cheng, Y., Liu, J.: Large-Scale Adversarial Training for Vision-and-Language Representation Learning. In: Proc. NeurIPS (2020)

2020

Later among the works it cites.

Lu, J., Goswami, V., Rohrbach, M., Parikh, D., Lee, S.: 12-in-1: Multi-Task Vision and Language Representation Learning. In: Proc. CVPR (2020)

2020

Later among the works it cites.

Yang, Z., Chen, T., Wang, L., Luo, J.: Improving one-stage visual grounding by recursive sub-query construction. In: Proc. ECCV (2020)

2020

Later among the works it cites.

Deng, J., Yang, Z., Chen, T., Zhou, W., Li, H.: Transvg: End-to-end visual grounding with transformers. In: Proc. ICCV (2021)

2021

Closest in time.

Feng, M., Li, Z., Li, Q., Zhang, L., Zhang, X., Zhu, G., Zhang, H., Wang, Y., Mian, A.: Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud. In: Proc. ICCV (2021)