{"total":67,"rows":[{"id":"2307.10088","title":"Android in the Wild: A Large-Scale Dataset for Android Device Control","created":"2023-07-19","cited_by_count":319,"area":null},{"id":"2106.02036","title":"Anticipative Video Transformer","created":"2021-06-03","cited_by_count":200,"area":null},{"id":"2210.10352","title":"Temporal Action Segmentation: An Analysis of Modern Techniques","created":"2022-10-19","cited_by_count":85,"area":null},{"id":"2104.12671","title":"Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos","created":"2021-04-26","cited_by_count":62,"area":null},{"id":"2103.11264","title":"Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation","created":"2021-03-20","cited_by_count":58,"area":null},{"id":"2205.14022","title":"Future Transformer for Long-term Action Anticipation","created":"2022-05-27","cited_by_count":58,"area":null},{"id":"2205.02300","title":"P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision","created":"2022-05-04","cited_by_count":52,"area":null},{"id":"2105.13353","title":"Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering","created":"2021-05-27","cited_by_count":49,"area":null},{"id":"2103.06669","title":"Temporal Action Segmentation from Timestamp Supervision","created":"2021-03-11","cited_by_count":48,"area":null},{"id":"2101.00910","title":"Global2Local: Efficient Structure Search for Video Action Segmentation","created":"2021-01-04","cited_by_count":42,"area":null},{"id":"2208.06773","title":"TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency","created":"2022-08-14","cited_by_count":35,"area":null},{"id":"2104.02116","title":"Action Shuffle Alternating Learning for Unsupervised Action Segmentation","created":"2021-04-05","cited_by_count":33,"area":null},{"id":"2110.00111","title":"Deep Learning-based Action Detection in Untrimmed Videos: A Survey","created":"2021-09-30","cited_by_count":32,"area":null},{"id":"2111.11631","title":"Self-Regulated Learning for Egocentric Video Activity Anticipation","created":"2021-11-23","cited_by_count":32,"area":null},{"id":"2105.00067","title":"Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities","created":"2021-04-30","cited_by_count":26,"area":null},{"id":"2403.01599","title":"SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos","created":"2024-03-03","cited_by_count":24,"area":null},{"id":"2103.09458","title":"Learning Discriminative Prototypes with Dynamic Time Warping","created":"2021-03-17","cited_by_count":23,"area":null},{"id":"2104.07461","title":"Action Segmentation with Mixed Temporal Domain Adaptation","created":"2021-04-15","cited_by_count":21,"area":null},{"id":"2412.17640","title":"Hierarchical Vector Quantization for Unsupervised Action Segmentation","created":"2024-12-23","cited_by_count":19,"area":null},{"id":"2206.15031","title":"Timestamp-Supervised Action Segmentation with Graph Convolutional Networks","created":"2022-06-30","cited_by_count":18,"area":null},{"id":"2305.19478","title":"Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment","created":"2023-05-31","cited_by_count":17,"area":null},{"id":"2108.03894","title":"FIFA: Fast Inference Approximation for Action Segmentation","created":"2021-08-09","cited_by_count":16,"area":null},{"id":"2108.06706","title":"Temporal Action Segmentation with High-level Complex Activity Labels","created":"2021-08-15","cited_by_count":16,"area":null},{"id":"2112.06447","title":"SVIP: Sequence VerIfication for Procedures in Videos","created":"2021-12-13","cited_by_count":16,"area":null},{"id":"2105.14158","title":"SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation","created":"2021-05-29","cited_by_count":15,"area":null},{"id":"2403.19225","title":"Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment","created":"2024-03-28","cited_by_count":13,"area":null},{"id":"2409.03142","title":"Causal Temporal Representation Learning with Nonstationary Sparse Transition","created":"2024-09-05","cited_by_count":13,"area":null},{"id":"2203.13309","title":"Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos","created":"2022-03-24","cited_by_count":12,"area":null},{"id":"2110.05697","title":"Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos","created":"2021-10-12","cited_by_count":11,"area":null},{"id":"2309.06276","title":"OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation","created":"2023-09-12","cited_by_count":11,"area":null},{"id":"2309.17257","title":"A Survey on Deep Learning Techniques for Action Anticipation","created":"2023-09-29","cited_by_count":11,"area":null},{"id":"2106.03158","title":"Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions","created":"2021-06-06","cited_by_count":10,"area":null},{"id":"2202.13096","title":"Continuous Human Action Recognition for Human-Machine Interaction: A Review","created":"2022-02-26","cited_by_count":10,"area":null},{"id":"2205.13425","title":"Do we really need temporal convolutions in action segmentation?","created":"2022-05-26","cited_by_count":10,"area":null},{"id":"2206.06637","title":"RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks","created":"2022-06-14","cited_by_count":10,"area":null},{"id":"2304.06403","title":"Leveraging triplet loss for unsupervised action segmentation","created":"2023-04-13","cited_by_count":10,"area":null},{"id":"2407.02309","title":"Semantically Guided Representation Learning For Action Anticipation","created":"2024-07-02","cited_by_count":10,"area":null},{"id":"2410.14045","title":"Human Action Anticipation: A Survey","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2104.02113","title":"Anchor-Constrained Viterbi for Set-Supervised Action Segmentation","created":"2021-04-05","cited_by_count":8,"area":null},{"id":"2207.11805","title":"Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions","created":"2022-07-24","cited_by_count":8,"area":null},{"id":"2312.04266","title":"Activity Grammars for Temporal Action Segmentation","created":"2023-12-07","cited_by_count":8,"area":null},{"id":"2109.15170","title":"CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation","created":"2021-09-30","cited_by_count":7,"area":null},{"id":"2210.06501","title":"Robust Action Segmentation from Timestamp Supervision","created":"2022-10-12","cited_by_count":6,"area":null},{"id":"2111.13675","title":"Weakly-guided Self-supervised Pretraining for Temporal Activity Detection","created":"2021-11-26","cited_by_count":5,"area":null},{"id":"2112.04480","title":"Exploring Temporal Granularity in Self-Supervised Video Representation Learning","created":"2021-12-08","cited_by_count":5,"area":null},{"id":"2106.03738","title":"Unsupervised Action Segmentation for Instructional Videos","created":"2021-06-07","cited_by_count":4,"area":null},{"id":"2201.05675","title":"Transformers in Action: Weakly Supervised Action Segmentation","created":"2022-01-14","cited_by_count":4,"area":null},{"id":"2410.21275","title":"Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2604.26227","title":"HOI-aware Adaptive Network for Weakly-supervised Action Segmentation","created":"2026-04-29","cited_by_count":3,"area":null},{"id":"2106.14733","title":"Unsupervised Discovery of Actions in Instructional Videos","created":"2021-06-28","cited_by_count":2,"area":null},{"id":"2303.05166","title":"TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering","created":"2023-03-09","cited_by_count":2,"area":null},{"id":"2304.02110","title":"DIR-AS: Decoupling Individual Identification and Temporal Reasoning for Action Segmentation","created":"2023-04-04","cited_by_count":2,"area":null},{"id":"2504.05700","title":"Pose-Aware Weakly-Supervised Action Segmentation","created":"2025-04-08","cited_by_count":2,"area":null},{"id":"2506.02382","title":"Multi-level and Multi-modal Action Anticipation","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2204.02688","title":"MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization","created":"2022-04-06","cited_by_count":1,"area":null},{"id":"2311.18773","title":"Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains","created":"2023-11-30","cited_by_count":1,"area":null},{"id":"2502.10713","title":"Improving action segmentation via explicit similarity measurement","created":"2025-02-15","cited_by_count":1,"area":null},{"id":"2507.10632","title":"Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process","created":"2025-07-14","cited_by_count":1,"area":null},{"id":"2508.05529","title":"Looking into the Unknown: Exploring Action Discovery for Segmentation of Known and Unknown Actions","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2602.24275","title":"Hierarchical Action Learning for Weakly-Supervised Action Segmentation","created":"2026-02-27","cited_by_count":1,"area":null},{"id":"2109.04409","title":"Reconstructing and grounding narrated instructional videos in 3D","created":"2021-09-09","cited_by_count":0,"area":null},{"id":"2211.01311","title":"Distill and Collect for Semi-Supervised Temporal Action Segmentation","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2309.05972","title":"Self-supervised Extraction of Human Motion Structures via Frame-wise Discrete Features","created":"2023-09-12","cited_by_count":0,"area":null},{"id":"2405.09838","title":"Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model","created":"2024-05-16","cited_by_count":0,"area":null},{"id":"2604.01859","title":"Combining Boundary Supervision and Segment-Level Regularization for Fine-Grained Action Segmentation","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.15173","title":"Boundary-Centric Clip-Budgeted Active Learning for Temporal Action Segmentation","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2605.10149","title":"Improving Temporal Action Segmentation via Constraint-Aware Decoding","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}