HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

Deep Residual Learning for Image Recognition

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Adam: A Method for Stochastic Optimization

Kingma, D. P., & Ba, J. (2014) · arXiv · doi:10.48550/arxiv.1412.6980 · Cited by 98,946

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · doi:10.18653/v1/n19-1423 · Cited by 54,325

Efficient Estimation of Word Representations in Vector Space

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv · doi:10.48550/arxiv.1301.3781 · Cited by 26,568

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Carreira, J., & Zisserman, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.502 · Cited by 9,570

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Sun, C., Shrivastava, A., Singh, S., & Gupta, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.97 · Cited by 2,484

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Hara, K., Kataoka, H., & Satoh, Y. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00685 · Cited by 2,346

MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

Xu, J., Mei, T., Yao, T., & Rui, Y. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.571 · Cited by 1,888

Image Captioning with Semantic Attention

You, Q., Jin, H., Wang, Z., Chen, F., & Luo, J. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.503 · Cited by 1,869

Multi-Task Learning of Object States and State-Modifying Actions From Web Videos

Souček, T., Alayrac, J.-B., Miech, A., Laptev, I., & Šivic, J. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3362288 · Cited by 17

Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement

Hou, D., Pang, L., Shen, H., & Cheng, X. (2024) · International Conference on Multimedia Retrieval · doi:10.1145/3652583.3658088 · Cited by 12

EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval

Hummel, T., Karthik, S., Georgescu, M.-I., & Akata, Z. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72913-3_1 · Cited by 18

GR-MG: Leveraging Partially-Annotated Data via Multi-Modal Goal-Conditioned Policy

Li, P., Wu, H., Huang, Y., Cheang, C., Wang, L., & Kong, T. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3526436 · Cited by 23

Video Question Answering with Phrases via Semantic Roles

Sadhu, A., Chen, K., & Nevatia, R. (2021) · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · doi:10.18653/v1/2021.naacl-main.196 · Cited by 16

Animating Images to Transfer CLIP for Video-Text Retrieval

Liu, Y., Chen, H., Huang, L., Chen, D., Wang, B., Pan, P., & Wang, L. (2022) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3477495.3531776 · Cited by 13

MLASK: Multimodal Summarization of Video-based News Articles

Krubiński, M., & Pecina, P. (2023) · Findings of the Association for Computational Linguistics: EACL · doi:10.18653/v1/2023.findings-eacl.67 · Cited by 14

CiT: Curation in Training for Effective Vision-Language Data

Hu, X., Xie, S., Huang, P.-Y., Yu, L., Howes, R., Ghosh, G., Zettlemoyer, L., & Feichtenhofer, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01393 · Cited by 26

Learning Temporal Dynamics from Cycles in Narrated Video

Epstein, D., Wu, J., Schmid, C., & Sun, C. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00151 · Cited by 12

COBE: Contextualized Object Embeddings from Narrated Instructional VideoPreprint

Bertasius, G., & Torresani, L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.07306 · Cited by 13

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge TransferPreprint

Tang, Z., Cho, J., Tan, H. X., & Bansal, M. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2107.02681 · Cited by 13

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers

Miech, A., Alayrac, J.-B., Laptev, I., Sivic, J., & Zisserman, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00970 · Cited by 149

ARiana: Augmented Reality Based In-Situ Annotation of Assembly Videos

Pham, T. A., Moesgen, T., Siltanen, S., Bergström, J., & Xiao, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3216015 · Cited by 11

Progressive Event Alignment Network for Partial Relevant Video Retrieval

Jiang, X., Chen, Z., Xu, X., Shen, F., Cao, Z., & Cai, X. (2023) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme55011.2023.00338 · Cited by 11

OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation

Li, Y., Xue, Z., & Xu, H. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00631 · Cited by 11

CoSTA: Co-training spatial–temporal attention for blind video quality assessment

Xing, F., Wang, Y., Tang, W., Zhu, G., & Kwong, S. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2024.124651 · Cited by 11

MMSFT: Multilingual Multimodal Summarization by Fine-Tuning Transformers

Phani, S., Abdul, A., Prasad, M. K. S., & Sarma, H. K. D. (2024) · IEEE Access · doi:10.1109/access.2024.3454382 · Cited by 10

Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning

Zhang, W., Wan, C., Liu, T., Tian, X., Shen, X., & Ye, J. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01751 · Cited by 13

DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph

Yin, Z., Gao, J., Balsebre, P., Cong, G., & Long, C. (2025) · Proceedings of the ACM on Management of Data · doi:10.1145/3709679 · Cited by 18

Do Language Models Understand Time?

Xi, D., & Wang, L. (2025) · International World Wide Web Conference (WWW) · doi:10.1145/3701716.3717744 · Cited by 23

Counterfactual Two-Stage Debiasing For Video Corpus Moment Retrieval

Yoon, S., Hong, J. W., Eom, S., Yoon, H. S., Yoon, E., Kim, D., Kim, J., Kim, C., & Yoo, C. D. (2023) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp49357.2023.10095182 · Cited by 12

Video-Text Pre-training with Learned Regions for Retrieval

Yan, R., Shou, M. Z., Ge, Y., Wang, J., Lin, X., Cai, G., & Tang, J. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i3.25414 · Cited by 29

Normalized Contrastive Learning for Text-Video Retrieval

Park, Y., Azab, M., Moon, S., Xiong, B., Metze, F., Kundu, G., & Kirmani, A. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.17 · Cited by 13

AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR

Seo, P. H., Nagrani, A., & Schmid, C. (2023) · Computer Vision and Pattern Recognition · doi:10.1109/cvpr52729.2023.02195 · Cited by 35

Learnable Cube-based Video Encryption for Privacy-Preserving Action Recognition

Ishikawa, Y., Kondo, M., & Kataoka, H. (2024) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv57701.2024.00685 · Cited by 12

Transcript to Video: Efficient Clip Sequencing from Texts

Xiong, Y., Heilbron, F. C., & Lin, D. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3548268 · Cited by 11

Video and Text Matching with Conditioned Embeddings

Ali, A., Schwartz, I., Hazan, T., & Wolf, L. (2022) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv51458.2022.00055 · Cited by 13

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

Ye, S., Xie, Y., Chen, D., Yi‐chong, X., Yuan, L., Zhu, C., & Liao, J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00259 · Cited by 16

AVATAR: Unconstrained Audiovisual Speech Recognition

Gabeur, V., Seo, P. H., Nagrani, A., Sun, C., Alahari, K., & Schmid, C. (2022) · Interspeech (USB) · doi:10.21437/interspeech.2022-776 · Cited by 10

AutoTransition: Learning to Recommend Video Transition Effects

Shen, Y., Zhang, L., Xu, K., & Jin, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19839-7_17 · Cited by 10

MAC: Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Shu, F., Chen, B., Liao, Y., Wang, J., & Liu, S. (2024) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2024.3402613 · Cited by 23

Diffusion Models and Generative Artificial Intelligence: Frameworks, Applications and Challenges

Kumar, P. (2025) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-025-10266-z · Cited by 13

UniAlign: Scaling Multimodal Alignment within One Unified Model

Zhou, B., Li, L., Wang, Y., Liu, H., Yao, Y., & Wang, W. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02760 · Cited by 13

Pair Expansion for Learning Multilingual Semantic Embeddings Using Disjoint Visually-Grounded Speech Audio Datasets

Ohishi, Y., Kimura, A., Kawanishi, T., Kashino, K., Harwath, D. F., & Glass, J. R. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-3078 · Cited by 10

Does language help generalization in vision models?

Devillers, B., Choksi, B., Bielawski, R., & VanRullen, R. (2021) · Conference on Computational Natural Language Learning · doi:10.18653/v1/2021.conll-1.13 · Cited by 20

Explainable Video Entailment with Grounded Visual Evidence

Chen, J., & Golisano, Y. K. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00203 · Cited by 10

VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification

Ли, Б., Weng, Y., Xia, F., Sun, B., & Shutao Li, A. (2022) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2022.bionlp-1.21 · Cited by 10

VideoABC: A Real-World Video Dataset for Abductive Visual Reasoning

Zhao, W., Rao, Y., Tang, Y., Zhou, J., & Lu, J. (2022) · IEEE Transactions on Image Processing · doi:10.1109/tip.2022.3205207 · Cited by 12

Concept Propagation via Attentional Knowledge Graph Reasoning for Video-Text Retrieval

Fang, S., Wang, S., Zhuo, J., Huang, Q., Ma, B., Wei, X., & Wei, X. K. (2022) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3503161.3547785 · Cited by 10

XAINES: Explaining AI with Narratives

Hartmann, M., Du, H., Feldhus, N., Kruijff‐Korbayová, I., & Sonntag, D. (2022) · Künstliche Intell. · doi:10.1007/s13218-022-00780-8 · Cited by 13

Multimodal Violent Video Recognition Based on Mutual Distillation

Shang, Y., Wu, X., & Liu, R. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18913-5_48 · Cited by 10

Unsupervised Audio-Visual Lecture Segmentation

Darshan Singh, S., Gupta, A., Jawahar, C. V., & Tapaswi, M. (2023) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv56688.2023.00520 · Cited by 10

Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos

Hu, G., He, B., & Zhang, H. (2023) · Machine Intelligence Research · doi:10.1007/s11633-022-1409-1 · Cited by 10

Improving Video Retrieval Using Multilingual Knowledge Transfer

Madasu, A., Aflalo, E., Stan, G. B. M., Tseng, S.-Y., Bertasius, G., & Lal, V. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-28244-7_42 · Cited by 10

Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer

Peng, M., Wang, C., Shi, Y., & Zhou, X.-D. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i2.25296 · Cited by 14

Show Me a Video: A Large-Scale Narrated Video Dataset for Coherent Story Illustration

Lu, Y., Ni, F., Wang, H., Guo, X., Zhu, L., Yang, Z., Song, R., Cheng, L., & Yang, Y. (2023) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2023.3296944 · Cited by 10

BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation

Kang, L., Huang, L., Peng, N., Zhu, P., Sun, Z., Cheng, S., Wang, M., Huang, D., & Su, J. (2023) · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · doi:10.18653/v1/2023.findings-acl.535 · Cited by 12

Video-Text Retrieval by Supervised Sparse Multi-Grained Learning

Wang, Y., & Shi, P. (2023) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2023.findings-emnlp.46 · Cited by 12

STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos

Shah, A., Lundell, B., Sawhney, H., & Chellappa, R. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00952 · Cited by 10

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training

Lin, Y., Wei, C., Wang, H., Yuille, A., & Xie, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00233 · Cited by 11

Bi-calibration Networks for Weakly-Supervised Video Representation Learning

Long, F., Yao, T., Qiu, Z., Tian, X., Luo, J., & Mei, T. (2023) · International Journal of Computer Vision · doi:10.1007/s11263-023-01779-w · Cited by 10

DramaQA: Character-Centered Video Story Understanding with Hierarchical QAPreprint

Choi, S.-H., On, K.-W., Heo, Y., Seo, A., Jang, Y., Lee, M., & Zhang, B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.03356 · Cited by 10

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)Preprint

Albanie, S., Liu, Y., Nagrani, A., Miech, A., Coto, E., Ivan Laptev, A., Sukthankar, R., Ghanem, B., Zisserman, A., Gabeur, V., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2008.00744 · Cited by 10

Tarsier2: Advancing Large Vision-Language Models from Detailed Video Descriptions to Comprehensive Video UnderstandingPreprint

Yuan, L., Wang, J., Sun, H., Zhang, Y., & Lin, Y. (2025) · Qeios · doi:10.32388/x26ilu · Cited by 15

Data-Efficient Masked Video Modeling for Self-supervised Action Recognition

Li, Q., Huang, X., Wan, Z., Hu, L., Wu, S., Zhang, J., Shan, S., & Wang, Z. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612496 · Cited by 13

Linguistic Hallucination for Text-Based Video Retrieval

Fang, S., Dang, T., Wang, S., & Huang, Q. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3393843 · Cited by 11

Step Differences in Instructional Video

Nagarajan, T., & Torresani, L. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01773 · Cited by 9

Interactive Video Search with Multi-modal LLM Video Captioning

Cheng, Y., Wu, J., Ma, Z., He, J., Wei, X.-Y., & Ngo, C. (2024) · Lecture notes in computer science · doi:10.1007/978-981-96-2074-6_36 · Cited by 9

Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search

Zhang, F., Jiang, M., Hou, G., Shi, J., Fan, H. T., Zhou, W., Li, F., & Wang, S. (2025) · Proceedings of the ACM on Management of Data · doi:10.1145/3725401 · Cited by 9

Live: Learning Video LLM with Streaming Speech Transcription at Scale

Chen, J., Zeng, Z., Lin, Y., Li, W., Ma, Z., & Shou, M. Z. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.02708 · Cited by 13

Video diffusion generation: comprehensive review and open problems

Ma, W., Yang, X., Jiao, L., Li, L., Liu, X., Liu, F., Chen, P., Yang, Y., Ma, M., Sun, L., et al. (2025) · Artificial Intelligence Review · doi:10.1007/s10462-025-11331-6 · Cited by 18

Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval

Zhang, P., Zhao, Z., Wang, N., Yu, J., & Wu, F. Q. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3176866 · Cited by 9

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation

Guo, H., Liu, J., Huang, H., Yang, J., Li, Z., Zhang, D., & Cui, Z. (2022) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2022.emnlp-main.184 · Cited by 12

Causal Reasoning of Entities and Events in Procedural Texts

Zhang, L., Xu, H., Yang, Y., Zhou, S., You, W., Arora, M., & Callison-Burch, C. (2023) · Findings of the Association for Computational Linguistics: EACL · doi:10.18653/v1/2023.findings-eacl.31 · Cited by 14

Write What You Want: Applying Text-to-Video Retrieval to Audiovisual Archives

Yang, Y.-C. B. (2023) · Journal on Computing and Cultural Heritage · doi:10.1145/3627167 · Cited by 9

POV: Prompt-Oriented View-Agnostic Learning for Egocentric Hand-Object Interaction in the Multi-view World

Xu, B., Zheng, S., & Jin, Q. (2023) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3581783.3612484 · Cited by 12

EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding

Xu, Y., Li, Y., Huang, Z., Liu, M. X., Lu, C., Tai, Y., & Tang, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00486 · Cited by 9

Simple Baselines for Interactive Video Retrieval with Questions and Answers

Liang, K., & Albanie, S. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01018 · Cited by 12

Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning

Ji, W., Shi, R., Wei, Y., Zhao, S., & Zimmermann, R. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589335.3651942 · Cited by 11

Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction

Zhang, Y.-C. S. L.-G., Min, W., Nie, L., & Jiang, S. (2020) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2020.3019714 · Cited by 9

On Semantic Similarity in Video Retrieval

Wray, M., Doughty, H., & Damen, D. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00365 · Cited by 9

Hierarchical Context-aware Network for Dense Video Event Captioning

Ji, L., Guo, X., Huang, H., & Chen, X. (2021) · doi:10.18653/v1/2021.acl-long.156 · Cited by 10

Order-Constrained Representation Learning for Instructional Video Prediction

Li, M., Chen, L., Lu, J., Feng, J., & Zhou, J. (2022) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2022.3149329 · Cited by 9

VTC: Improving Video-Text Retrieval with User Comments

Hanu, L., Thewlis, J., Asano, Y. M., & Rupprecht, C. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19833-5_36 · Cited by 9

RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval

Wu, X., Gao, C., Lin, Z., Wang, Z., Han, J., & Hu, S. (2022) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2022.findings-emnlp.221 · Cited by 10

Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization

Xu, M., Li, Y., Fu, C.-Y., Ghanem, B., Xiang, T., & Pérez-Rúa, J.-M. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00255 · Cited by 18

VLMAH: Visual-Linguistic Modeling of Action History for Effective Action Anticipation

Manousaki, V., Bacharidis, K., Papoutsakis, K. E., & Argyros, A. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00206 · Cited by 9

LoL-V2T: Large-Scale Esports Video Description Dataset

Tanaka, T., & Simo‐Serra, E. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00513 · Cited by 10

Cap4Video++: Enhancing Video Understanding With Auxiliary Captions

Wu, W., Wang, X., Luo, H., Wang, J., Yang, Y., & Ouyang, W. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3410329 · Cited by 9

Two-Stage Active Learning for Efficient Temporal Action Segmentation

Su, Y., & Elhamifar, E. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-72970-6_10 · Cited by 8

Semantic similarity on multimodal data: A comprehensive survey with applications

Ihnaini, B., Abuhaija, B., Mills, E. A., & Mahmuddin, M. (2024) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2024.102263 · Cited by 15

TC-MGC: Text-conditioned multi-grained contrastive learning for text–video retrieval

Jing, X., Yang, G., & Chu, J. (2025) · Information Fusion · doi:10.1016/j.inffus.2025.103151 · Cited by 8

Egocentric and exocentric methods: A short survey

Thatipelli, A., Lo, S.-Y., & Roy–Chowdhury, A. K. (2025) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2025.104371 · Cited by 8

Continual Text-to-Video Retrieval with Frame Fusion and Task-Aware Routing

Zhao, Z., Chen, Z., Huang, Z. H., Sadiq, S. W., & Chen, T. (2025) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3726302.3729936 · Cited by 8

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval

Shen, L., Gong, G., Hao, T., He, T., Zhang, Y., Liu, P., Zhao, S., Han, J., & Ding, G. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.01835 · Cited by 8

What foundation models can bring for robot learning in manipulation: A survey

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Mixture of Experts for Decentralized Generative AI and Reinforcement Learning in Wireless Networks: A Comprehensive Survey

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