Papers Long Term Action Anticipation
“Long Term Action Anticipation” 태그가 달린 논문 22편 · 필터 해제
Vision and Intention Boost Large Language Model in Long-Term Action Anticipation
Long-term action anticipation (LTA) aims to predict future actions over an extended period. Previous approaches primarily focus on learning exclusively from video data but lack prior knowledge. Recent researches leverage…
Action AnticipationIn-Context LearningLanguage ModelingLanguage Modelling+2Multimodal Large Models Are Effective Action Anticipators
The task of long-term action anticipation demands solutions that can effectively model temporal dynamics over extended periods while deeply understanding the inherent semantics of actions. Traditional approaches, which p…
Action AnticipationLong Term Action AnticipationSpecificityTemporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
This paper proposes a method for long-term action anticipation (LTA), the task of predicting action labels and their duration in a video given the observation of an initial untrimmed video interval. We build on an encode…
Action AnticipationAction SegmentationAllDecoder+2ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation
Temporal action segmentation and long-term action anticipation are two popular vision tasks for the temporal analysis of actions in videos. Despite apparent relevance and potential complementarity, these two problems hav…
Action AnticipationAction SegmentationLong Term Action AnticipationSegmentation+1Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
Long-term action anticipation has become an important task for many applications such as autonomous driving and human-robot interaction. Unlike short-term anticipation, predicting more actions into the future imposes a r…
Action AnticipationAutonomous DrivingLong Term Action AnticipationQueryMamba: A Mamba-Based Encoder-Decoder Architecture with a Statistical Verb-Noun Interaction Module for Video Action Forecasting @ Ego4D Long-Term Action Anticipation Challenge 2024
This report presents a novel Mamba-based encoder-decoder architecture, QueryMamba, featuring an integrated verb-noun interaction module that utilizes a statistical verb-noun co-occurrence matrix to enhance video action f…
Action AnticipationDecoderLong Term Action AnticipationMambaEgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation
In this report, we present our solutions to the EgoVis Challenges in CVPR 2024, including five tracks in the Ego4D challenge and three tracks in the EPIC-Kitchens challenge. Building upon the video-language two-tower mod…
Action AnticipationAction RecognitionDomain AdaptationLong Term Action Anticipation+4Can't make an Omelette without Breaking some Eggs: Plausible Action Anticipation using Large Video-Language Models
We introduce PlausiVL, a large video-language model for anticipating action sequences that are plausible in the real-world. While significant efforts have been made towards anticipating future actions, prior approaches d…
Action AnticipationcounterfactualLanguage ModelingLanguage Modelling+1PALM: Predicting Actions through Language Models
Understanding human activity is a crucial yet intricate task in egocentric vision, a field that focuses on capturing visual perspectives from the camera wearer's viewpoint. Traditional methods heavily rely on representat…
Action AnticipationAction RecognitionIn-Context LearningLanguage Modelling+2Object-centric Video Representation for Long-term Action Anticipation
This paper focuses on building object-centric representations for long-term action anticipation in videos. Our key motivation is that objects provide important cues to recognize and predict human-object interactions, esp…
Action AnticipationHuman-Object Interaction DetectionLong Term Action AnticipationObject+2Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos
This work focuses on anticipating long-term human actions, particularly using short video segments, which can speed up editing workflows through improved suggestions while fostering creativity by suggesting narratives. T…
Action AnticipationLong Term Action AnticipationAntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Can we better anticipate an actor's future actions (e.g. mix eggs) by knowing what commonly happens after his/her current action (e.g. crack eggs)? What if we also know the longer-term goal of the actor (e.g. making egg …
Action AnticipationcounterfactualLong Term Action AnticipationMultiscale Video Pretraining for Long-Term Activity Forecasting
Long-term activity forecasting is an especially challenging research problem because it requires understanding the temporal relationships between observed actions, as well as the variability and complexity of human activ…
Action AnticipationLong Term Action AnticipationTechnical Report for Ego4D Long Term Action Anticipation Challenge 2023
In this report, we describe the technical details of our approach for the Ego4D Long-Term Action Anticipation Challenge 2023. The aim of this task is to predict a sequence of future actions that will take place at an arb…
Action AnticipationDecoderLong Term Action AnticipationPalm: Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023
We present Palm, a solution to the Long-Term Action Anticipation (LTA) task utilizing vision-language and large language models. Given an input video with annotated action periods, the LTA task aims to predict possible f…
Action AnticipationImage CaptioningLanguage ModelingLanguage Modelling+2HierVL: Learning Hierarchical Video-Language Embeddings
Video-language embeddings are a promising avenue for injecting semantics into visual representations, but existing methods capture only short-term associations between seconds-long video clips and their accompanying text…
Action ClassificationAction RecognitionLong Term Action AnticipationLong Term Anticipation+1Rethinking Learning Approaches for Long-Term Action Anticipation
Action anticipation involves predicting future actions having observed the initial portion of a video. Typically, the observed video is processed as a whole to obtain a video-level representation of the ongoing activity …
Action AnticipationFuture predictionLong Term Action AnticipationLearning State-Aware Visual Representations from Audible Interactions
We propose a self-supervised algorithm to learn representations from egocentric video data. Recently, significant efforts have been made to capture humans interacting with their own environments as they go about their da…
Action AnticipationAction RecognitionLong Term Action AnticipationObject State Change Classification+1Intention-Conditioned Long-Term Human Egocentric Action Forecasting
To anticipate how a human would act in the future, it is essential to understand the human intention since it guides the human towards a certain goal. In this paper, we propose a hierarchical architecture which assumes a…
Action AnticipationLong Term Action AnticipationVideo + CLIP Baseline for Ego4D Long-term Action Anticipation
In this report, we introduce our adaptation of image-text models for long-term action anticipation. Our Video + CLIP framework makes use of a large-scale pre-trained paired image-text model: CLIP and a video encoder Slow…
Action AnticipationLong Term Action Anticipation