Papers Unsupervised Action Segmentation
“Unsupervised Action Segmentation” 태그가 달린 논문 20편 · 필터 해제
D-CLOT: Double Closed Loop Optimal Transport for Unsupervised Action Segmentation
Optimal transport (OT) has emerged as an effective framework for unsupervised action segmentation. Yet, in existing OT-based methods, the latent action prototypes that define the OT costs are not re-estimated from the re…
Unsupervised Action SegmentationLearning Probabilistic Embeddings for Unsupervised Action Segmentation
This paper concerns the problem of unsupervised temporal action segmentation for long, untrimmed videos. Recent successful approaches follow a joint representation learning and clustering paradigm, where optimal transpor…
Unsupervised Action SegmentationRepresentation LearningDeep kernel video approximation for unsupervised action segmentation
This work focuses on per-video unsupervised action segmentation, which is of interest to applications where storing large datasets is either not possible, or nor permitted. We propose to segment videos by learning in dee…
Unsupervised Action SegmentationCLOT: Closed Loop Optimal Transport for Unsupervised Action Segmentation
Unsupervised action segmentation has recently pushed its limits with ASOT, an optimal transport (OT)-based method that simultaneously learns action representations and performs clustering using pseudo-labels. Unlike othe…
Unsupervised Action SegmentationHierarchical Vector Quantization for Unsupervised Action Segmentation
In this work, we address unsupervised temporal action segmentation, which segments a set of long, untrimmed videos into semantically meaningful segments that are consistent across videos. While recent approaches combine …
Action SegmentationClusteringQuantizationRepresentation Learning+2Transformer with Controlled Attention for Synchronous Motion Captioning
In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences. This task pertains to numerous applications, such as alig…
Action LocalizationAction SegmentationMotion CaptioningPhrase Grounding+4Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
We propose a novel approach to the action segmentation task for long, untrimmed videos, based on solving an optimal transport problem. By encoding a temporal consistency prior into a Gromov-Wasserstein problem, we are ab…
Action SegmentationSegmentationUnsupervised Action SegmentationPermutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment
This paper presents an unsupervised transformer-based framework for temporal activity segmentation which leverages not only frame-level cues but also segment-level cues. This is in contrast with previous methods which of…
Action SegmentationDecoderPredictionSegmentation+1Leveraging triplet loss for unsupervised action segmentation
In this paper, we propose a novel fully unsupervised framework that learns action representations suitable for the action segmentation task from the single input video itself, without requiring any training data. Our met…
Action SegmentationClusteringMetric LearningSegmentation+3TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Temporal action segmentation in untrimmed videos has gained increased attention recently. However, annotating action classes and frame-wise boundaries is extremely time consuming and cost intensive, especially on large-s…
Action SegmentationClusteringSegmentationTemporal Action Segmentation+1Fast and Unsupervised Action Boundary Detection for Action Segmentation
To deal with the great number of untrimmed videos produced every day, we propose an efficient unsupervised action segmentation method by detecting boundaries, named action boundary detection (ABD). In particular, the…
Action SegmentationBoundary DetectionChange Point DetectionUnsupervised Action SegmentationUnsupervised Action Segmentation for Instructional Videos
In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos, which are rarely annotated with atomic actions. We present an unsupervised approach to le…
Action SegmentationSegmentationUnsupervised Action SegmentationUnsupervised Action Segmentation by Joint Representation Learning and Online Clustering
We present a novel approach for unsupervised activity segmentation which uses video frame clustering as a pretext task and simultaneously performs representation learning and online clustering. This is in contrast with p…
Action SegmentationClusteringOnline ClusteringPseudo Label+2Action Shuffle Alternating Learning for Unsupervised Action Segmentation
This paper addresses unsupervised action segmentation. Prior work captures the frame-level temporal structure of videos by a feature embedding that encodes time locations of frames in the video. We advance prior work wit…
Action SegmentationSegmentationSelf-Supervised LearningUnsupervised Action SegmentationTemporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation
Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks. For this and other video understanding tasks, su…
Action SegmentationClusteringSegmentationUnsupervised Action Segmentation+1Unsupervised learning of action classes with continuous temporal embedding
The task of temporally detecting and segmenting actions in untrimmed videos has seen an increased attention recently. One problem in this context arises from the need to define and label action boundaries to create annot…
Action SegmentationUnsupervised Action SegmentationA Perceptual Prediction Framework for Self Supervised Event Segmentation
Temporal segmentation of long videos is an important problem, that has largely been tackled through supervised learning, often requiring large amounts of annotated training data. In this paper, we tackle the problem of s…
Action LocalizationAction RecognitionEvent SegmentationPrediction+2Watch-n-Patch: Unsupervised Learning of Actions and Relations
There is a large variation in the activities that humans perform in their everyday lives. We consider modeling these composite human activities which comprises multiple basic level actions in a completely unsupervised se…
Action SegmentationClusteringUnsupervised Action SegmentationWatch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions
We present a robotic system that watches a human using a Kinect v2 RGB-D sensor, detects what he forgot to do while performing an activity, and if necessary reminds the person using a laser pointer to point out the relat…
Action SegmentationObjectUnsupervised Action SegmentationWatch-n-Patch: Unsupervised Understanding of Actions and Relations
We focus on modeling human activities comprising multiple actions in a completely unsupervised setting. Our model learns the high-level action co-occurrence and temporal relations between the actions in the activity vide…
Action SegmentationUnsupervised Action Segmentation