{"total":46,"rows":[{"id":"2111.07624","title":"Attention Mechanisms in Computer Vision: A Survey","created":"2021-11-15","cited_by_count":232,"area":null},{"id":"2103.13141","title":"Temporal Context Aggregation Network for Temporal Action Proposal Refinement","created":"2021-03-24","cited_by_count":112,"area":null},{"id":"2104.03059","title":"Differentiable Patch Selection for Image Recognition","created":"2021-04-07","cited_by_count":68,"area":null},{"id":"2210.00055","title":"MaskTune: Mitigating Spurious Correlations by Forcing to Explore","created":"2022-09-30","cited_by_count":66,"area":null},{"id":"2203.14263","title":"A General Survey on Attention Mechanisms in Deep Learning","created":"2022-03-27","cited_by_count":64,"area":null},{"id":"2103.16775","title":"Attention, please! A survey of Neural Attention Models in Deep Learning","created":"2021-03-31","cited_by_count":51,"area":null},{"id":"2109.02613","title":"Class Semantics-based Attention for Action Detection","created":"2021-09-06","cited_by_count":36,"area":null},{"id":"2204.13154","title":"Attention Mechanism in Neural Networks: Where it Comes and Where it Goes","created":"2022-04-27","cited_by_count":29,"area":null},{"id":"2110.00380","title":"GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction","created":"2021-10-01","cited_by_count":18,"area":null},{"id":"2109.13227","title":"TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device","created":"2021-09-27","cited_by_count":17,"area":null},{"id":"2101.06636","title":"Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition","created":"2021-01-17","cited_by_count":14,"area":null},{"id":"2108.03603","title":"Understanding the computational demands underlying visual reasoning","created":"2021-08-08","cited_by_count":13,"area":null},{"id":"2102.10499","title":"A Hierarchical Conditional Random Field-based Attention Mechanism Approach for Gastric Histopathology Image Classification","created":"2021-02-21","cited_by_count":9,"area":null},{"id":"2104.05758","title":"Towards Extremely Compact RNNs for Video Recognition with Fully Decomposed Hierarchical Tucker Structure","created":"2021-04-12","cited_by_count":8,"area":null},{"id":"2106.07550","title":"Attention mechanisms and deep learning for machine vision: A survey of the state of the art","created":"2021-06-03","cited_by_count":8,"area":null},{"id":"2211.14646","title":"Towards Improved Input Masking for Convolutional Neural Networks","created":"2022-11-26","cited_by_count":8,"area":null},{"id":"2208.03775","title":"Video-based Human Action Recognition using Deep Learning: A Review","created":"2022-08-07","cited_by_count":7,"area":null},{"id":"2102.08065","title":"Learning to Recognize Actions on Objects in Egocentric Video with Attention Dictionaries","created":"2021-02-16","cited_by_count":6,"area":null},{"id":"2102.09744","title":"Trends in Vehicle Re-identification Past, Present, and Future: A Comprehensive Review","created":"2021-02-19","cited_by_count":6,"area":null},{"id":"2104.03046","title":"Multimodal Continuous Visual Attention Mechanisms","created":"2021-04-07","cited_by_count":6,"area":null},{"id":"2108.03418","title":"Information Bottleneck Approach to Spatial Attention Learning","created":"2021-08-07","cited_by_count":6,"area":null},{"id":"2202.02212","title":"Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model","created":"2022-02-04","cited_by_count":6,"area":null},{"id":"2405.06574","title":"Deep video representation learning: a survey","created":"2024-05-10","cited_by_count":4,"area":null},{"id":"2102.08634","title":"On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification","created":"2021-02-17","cited_by_count":3,"area":null},{"id":"2104.14131","title":"Actor-centered Representations for Action Localization in Streaming Videos","created":"2021-04-29","cited_by_count":3,"area":null},{"id":"2107.00451","title":"VideoLightFormer: Lightweight Action Recognition using Transformers","created":"2021-07-01","cited_by_count":3,"area":null},{"id":"2203.15413","title":"Deep Reinforcement Learning for Data-Driven Adaptive Scanning in Ptychography","created":"2022-03-29","cited_by_count":3,"area":null},{"id":"2302.01921","title":"Transformers in Action Recognition: A Review on Temporal Modeling","created":"2022-12-29","cited_by_count":3,"area":null},{"id":"2101.07832","title":"The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions","created":"2021-01-19","cited_by_count":2,"area":null},{"id":"2209.07474","title":"On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition","created":"2022-09-15","cited_by_count":2,"area":null},{"id":"2409.09678","title":"A Comprehensive Methodological Survey of Human Activity Recognition Across Divers Data Modalities","created":"2024-09-15","cited_by_count":2,"area":null},{"id":"2104.15015","title":"RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection","created":"2021-04-30","cited_by_count":1,"area":null},{"id":"2110.09819","title":"LSTC: Boosting Atomic Action Detection with Long-Short-Term Context","created":"2021-10-19","cited_by_count":1,"area":null},{"id":"2409.02508","title":"TLD: A Vehicle Tail Light signal Dataset and Benchmark","created":"2024-09-04","cited_by_count":1,"area":null},{"id":"2110.15574","title":"ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2111.11827","title":"A General Divergence Modeling Strategy for Salient Object Detection","created":"2021-11-23","cited_by_count":0,"area":null},{"id":"2207.13306","title":"Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition","created":"2022-07-27","cited_by_count":0,"area":null},{"id":"2208.14847","title":"Attentive pooling for Group Activity Recognition","created":"2022-08-31","cited_by_count":0,"area":null},{"id":"2210.07400","title":"Real-time Action Recognition for Fine-Grained Actions and The Hand Wash Dataset","created":"2022-10-13","cited_by_count":0,"area":null},{"id":"2211.07982","title":"Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy","created":"2022-11-15","cited_by_count":0,"area":null},{"id":"2301.11880","title":"Optical Flow Estimation in 360$^\\circ$ Videos: Dataset, Model and Application","created":"2023-01-27","cited_by_count":0,"area":null},{"id":"2303.00138","title":"Texture-Based Input Feature Selection for Action Recognition","created":"2023-02-28","cited_by_count":0,"area":null},{"id":"2306.13285","title":"Learning Scene Flow With Skeleton Guidance For 3D Action Recognition","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2306.14650","title":"PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture","created":"2023-06-26","cited_by_count":0,"area":null},{"id":"2502.07277","title":"Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis","created":"2025-02-11","cited_by_count":0,"area":null},{"id":"2607.04017","title":"SAGE: Synchronized Action-Gaze Recognition and Anticipation for Human Behavior Understanding","created":"2026-07-04","cited_by_count":0,"area":null}],"next_cursor":null}