| Open Set Action Recognition via Multi-Label Evidential Learning |
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| FLAG3D: A 3D Fitness Activity Dataset with Language Instruction |
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| MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition |
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| The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction |
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| Use Your Head: Improving Long-Tail Video Recognition |
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| Decomposed Cross-Modal Distillation for RGB-based Temporal Action Detection |
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| Video Test-Time Adaptation for Action Recognition |
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| How Can Objects Help Action Recognition? |
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| Text-Visual Prompting for Efficient 2D Temporal Video Grounding |
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| Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition |
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| TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition |
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Learning Video Representations from Large Language Models
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| Fine-tuned CLIP Models are Efficient Video Learners |
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| Efficient Movie Scene Detection Using State-Space Transformers |
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| AdamsFormer for Spatial Action Localization in the Future |
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| A Light Weight Model for Active Speaker Detection |
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| System-Status-Aware Adaptive Network for Online Streaming Video Understanding |
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| STMixer: A One-Stage Sparse Action Detector |
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| Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring |
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| Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization |
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| Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video |
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Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning
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| Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization |
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| Learning Discriminative Representations for Skeleton based Action Recognition |
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| Learning Procedure-Aware Video Representation from Instructional Videos and their Narrations |
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| Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception |
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| PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization |
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| Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization |
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| Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks |
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| SVFormer: Semi-Supervised Video Transformer for Action Recognition |
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AutoAD: Movie Description in Context
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| STMT: A Spatial-Temporal Mesh Transformer for MoCap-based Action Recognition |
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| Boosting Weakly-Supervised Temporal Action Localization with Text Information |
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| Aligning Step-by-Step Instructional Diagrams to Video Demonstrations |
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| Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels |
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| Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos |
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| Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline |
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| LOGO: A Long-Form Video Dataset for Group Action Quality Assessment |
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| Search-Map-Search: A Frame Selection Paradigm for Action Recognition |
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| 3Mformer: Multi-Order Multi-Mode Transformer for Skeletal Action Recognition |
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| ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding |
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Egocentric Video Task Translation
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| Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning |
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| Proposal-based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization |
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| TriDet: Temporal Action Detection with Relative Boundary Modeling |
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Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-based Action Recognition
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| EVAL: Explainable Video Anomaly Localization |
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| Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning |
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| Weakly Supervised Temporal Sentence Grounding with Uncertainty-guided Self-Training |
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| Leveraging Temporal Context in Low Representational Power Regimes |
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| PIVOT: Prompting for Video Continual Learning |
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| On the Benefits of 3D Pose and Tracking for Human Action Recognition |
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| NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory |
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| Selective Structured State-Spaces for Long-Form Video Understanding |
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| Frame Flexible Network |
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| ASPnet: Action Segmentation with Shared-Private Representation of Multiple Data Sources |
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| Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling |
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| Learning Transferable Spatiotemporal Representations from Natural Script Knowledge |
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| Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning |
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| Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models |
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| Procedure-Aware Pretraining for Instructional Video Understanding |
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Latency Matters: Real-Time Action Forecasting Transformer
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| Generating Anomalies for Video Anomaly Detection with Prompt-based Feature Mapping |
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HierVL: Learning Hierarchical Video-Language Embeddings
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| Two-Stream Networks for Weakly-Supervised Temporal Action Localization with Semantic-Aware Mechanisms |
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| Hybrid Active Learning via Deep Clustering for Video Action Detection |
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| Prompt-guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features |
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| Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection |
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| VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking |
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PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
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| Learning Action Changes by Measuring Verb-Adverb Textual Relationships |
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| Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation |
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| Video Event Restoration based on Keyframes for Video Anomaly Detection |
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| Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition |
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| Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting |
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| Post-Processing Temporal Action Detection |
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Relational Space-Time Query in Long-Form Videos
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| Therbligs in Action: Video Understanding through Motion Primitives |
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| Dual-Path Adaptation from Image to Video Transformers |
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| Hierarchical Semantic Contrast for Scene-Aware Video Anomaly Detection |
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| Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection |
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| Unbiased Scene Graph Generation in Videos |
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