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Video Understanding

1098 directly classified papers

Papers per year

Papers

UMT: Unified Multi-Modal Transformers for Joint Video Moment Retrieval and Highlight Detection CVPR 2022
Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency CVPR 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video CVPR 2022
JRDB-Act: A Large-Scale Dataset for Spatio-Temporal Action, Social Group and Activity Detection CVPR 2022
TAP-Vid: A Benchmark for Tracking Any Point in a Video NIPS 2022
Are all Frames Equal? Active Sparse Labeling for Video Action Detection NIPS 2022
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points NIPS 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos NIPS 2022
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios NIPS 2022
VITA: Video Instance Segmentation via Object Token Association NIPS 2022
Segmenting Moving Objects via an Object-Centric Layered Representation NIPS 2022
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos NIPS 2022
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding NIPS 2022
Look More but Care Less in Video Recognition NIPS 2022
Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing NIPS 2022
Masked Autoencoders As Spatiotemporal Learners NIPS 2022
Rethinking Resolution in the Context of Efficient Video Recognition NIPS 2022
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation NIPS 2022
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering NAACL 2022
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation IJCAI 2022
Scene Consistency Representation Learning for Video Scene Segmentation CVPR 2022
MAD: A Scalable Dataset for Language Grounding in Videos From Movie Audio Descriptions CVPR 2022
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation CVPR 2022
Improving Video Model Transfer With Dynamic Representation Learning CVPR 2022
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints To Better Classify Objects in Videos CVPR 2022