HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision

Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.: HMDB: a large video database for human motion recognition. In: International Conference on Computer Vision (ICCV) (2011)

2011

Earlier work this paper cites.

Soomro, K., Zamir, A.R., Shah, M.: UCF101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402 (2012)

Original

2012

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: International Conference on Computer Vision (ICCV) (2015)

2015

Earlier work this paper cites.

Damen, D., Doughty, H., Farinella, G.M., Fidler, S., Furnari, A., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., Wray, M.: Scaling Egocentric Vision: The EPIC-KITCHENS Dataset. In: European Conference on Computer Vision (ECCV) (2018)

2018

Earlier work this paper cites.

Li, Y., Liu, M., Rehg, J.M.: In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video. In: European Conference on Computer Vision (ECCV) (2018)

2018

Earlier work this paper cites.

Sigurdsson, G.A., Gupta, A., Schmid, C., Farhadi, A., Alahari, K.: Actor and Observer: Joint Modeling of First and Third-Person Videos. In: Computer Vision and Pattern Recognition (CVPR) (2018)

2018

Earlier work this paper cites.

Sigurdsson, G.A., Gupta, A., Schmid, C., Farhadi, A., Alahari, K.: Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. arXiv preprint arXiv:1804.09626 (2018)

Original

2018

Earlier work this paper cites.

Narasimhaswamy, S., Wei, Z., Wang, Y., Zhang, J., Hoai, M.: Contextual Attention for Hand Detection in the Wild. In: International Conference on Computer Vision (ICCV) (2019)

2019

Earlier work this paper cites.

Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. Advances in Neural Information Processing Systems (NeurIPS) (2020)

2020

Earlier work this paper cites.

Narasimhaswamy, S., Nguyen, T., Nguyen, M.H.: Detecting Hands and Recognizing Physical Contact in the Wild. Advances in Neural Information Processing Systems (NeurIPS) (2020)

2020

Earlier work this paper cites.

Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., Liu, P.J.: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research (JMLR) (2020)

2020

Earlier work this paper cites.

Shan, D., Geng, J., Shu, M., Fouhey, D.F.: Understanding Human Hands in Contact at Internet Scale. In: Computer Vision and Pattern Recognition (CVPR) (2020)

2020

Earlier work this paper cites.

Kamath, A., Singh, M., LeCun, Y., Synnaeve, G., Misra, I., Carion, N.: MDETR – Modulated Detection for End-to-End Multi-Modal Understanding. In: International Conference on Computer Vision (ICCV) (2021)

2021

Earlier work this paper cites.

Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning Transferable Visual Models From Natural Language Supervision. In: International Conference on Machine Learning (ICML) (2021)

2021

Earlier work this paper cites.

Alayrac, J.B., Donahue, J., Luc, P., Miech, A., Barr, I., Hasson, Y., Lenc, K., Mensch, A., Millican, K., Reynolds, M., et al.: Flamingo: a visual language model for few-shot learning. Advances in Neural Information Processing Systems (NeurIPS) (2022)

2022

Earlier work this paper cites.

Bansal, S., Arora, C., Jawahar, C.: My View is the Best View: Procedure Learning from Egocentric Videos. In: European Conference on Computer Vision (ECCV) (2022)

2022

Earlier work this paper cites.

Damen, D., Doughty, H., Farinella, G.M., Furnari, A., Ma, J., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., Wray, M.: Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100. International Journal of Computer Vision (IJCV) (2022)

2022

Earlier work this paper cites.

Darkhalil, A., Shan, D., Zhu, B., Ma, J., Kar, A., Higgins, R., Fidler, S., Fouhey, D., Damen, D.: EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations. In: Proceedings of the Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks (2022)

2022

Earlier work this paper cites.

Dou, Z.Y., Kamath, A., Gan, Z., Zhang, P., Wang, J., Li, L., Liu, Z., Liu, C., LeCun, Y., Peng, N., et al.: Coarse-to-fine vision-language pre-training with fusion in the backbone. Advances in Neural Information Processing Systems (NeurIPS) (2022)

2022

Earlier work this paper cites.

Grauman, K., et al.: Ego4D: Around the World in 3,000 Hours of Egocentric Video. In: Computer Vision and Pattern Recognition (CVPR) (2022)

2022

Earlier work this paper cites.

Hu, E.J., yelong shen, Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W.: LoRA: Low-Rank Adaptation of Large Language Models. In: International Conference on Learning Representations (ICLR) (2022)

2022

Earlier work this paper cites.

Li, J., Li, D., Xiong, C., Hoi, S.: BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. In: International Conference on Machine Learning (ICML) (2022)

2022

Cited alongside, same era.

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al.: Training language models to follow instructions with human feedback. Neural Information Processing Systems (NeurIPS) (2022)

2022

Cited alongside, same era.

Qinghong Lin, K., Jinpeng Wang, A., Soldan, M., Wray, M., Yan, R., Zhongcong Xu, E., Gao, D., Tu, R., Zhao, W., Kong, W., et al.: Egocentric Video-Language Pretraining. In: Advances in Neural Information Processing Systems (NeurIPS) (2022)

2022

Cited alongside, same era.

Sener, F., Chatterjee, D., Shelepov, D., He, K., Singhania, D., Wang, R., Yao, A.: Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities. Computer Vision and Patter Recognition (CVPR) (2022)

Hazra, R., Chen, B., Rai, A., Kamra, N., Desai, R.: EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. In: International Conference on Computer Vision (ICCV) (2023)

2023

Later among the works it cites.

Kurita, S., Katsura, N., Onami, E.: RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D. In: International Conference on Computer Vision (ICCV) (2023)

2023

Later among the works it cites.

Li, K., He, Y., Wang, Y., Li, Y., Wang, W., Luo, P., Wang, Y., Wang, L., Qiao, Y.: VideoChat: Chat-Centric Video Understanding. arXiv preprint arXiv:2305.06355 (2023)

Original

2023

Later among the works it cites.

Liu, H., Li, C., Wu, Q., Lee, Y.J.: Visual Instruction Tuning. Advances in Neural Information Processing Systems (NeurIPS) (2023)

2023

Later among the works it cites.

Liu, Z., He, Y., Wang, W., Wang, W., Wang, Y., Chen, S., Zhang, Q., Yang, Y., Li, Q., Yu, J., et al.: InternChat: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language. arXiv preprint arXiv:2305.05662 (2023)