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07/02/2023
ClipSitu: Effectively Leveraging CLIP for Conditional Predictions in Situation Recognition
Situation Recognition is the task of generating a structured summary of ...
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06/15/2023
Revealing the Illusion of Joint Multimodal Understanding in VideoQA Models
While VideoQA Transformer models demonstrate competitive performance on ...
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05/04/2023
Modelling Spatio-Temporal Interactions for Compositional Action Recognition
Humans have the natural ability to recognize actions even if the objects...
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11/26/2022
Who are you referring to? Weakly supervised coreference resolution with multimodal grounding
Coreference resolution aims at identifying words and phrases which refer...
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11/25/2022
Interaction Visual Transformer for Egocentric Action Anticipation
Human-object interaction is one of the most important visual cues that h...
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10/24/2022
Abductive Action Inference
Abductive reasoning aims to make the most likely inference for a given s...
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09/12/2022
Predicting the Next Action by Modeling the Abstract Goal
The problem of anticipating human actions is an inherently uncertain one...
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08/23/2022
Consistency Regularization for Domain Adaptation
Collection of real world annotations for training semantic segmentation ...
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03/31/2022
3D Equivariant Graph Implicit Functions
In recent years, neural implicit representations have made remarkable pr...
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12/19/2021
LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach
We propose LocFormer, a Transformer-based model for video grounding whic...
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11/26/2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
Scene graph generation (SGG) aims to capture a wide variety of interacti...
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11/26/2021
TDAN: Top-Down Attention Networks for Enhanced Feature Selectivity in CNNs
Attention modules for Convolutional Neural Networks (CNNs) are an effect...
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07/19/2021
Action Forecasting with Feature-wise Self-Attention
We present a new architecture for human action forecasting from videos. ...
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05/26/2021
Anticipating human actions by correlating past with the future with Jaccard similarity measures
We propose a framework for early action recognition and anticipation by ...
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12/11/2020
A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network
The use of latent variable models has shown to be a powerful tool for mo...
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11/08/2020
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition
Capsule networks (CapsNets) have recently shown promise to excel in most...
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10/13/2020
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
This paper studies the task of temporal moment localization in a long un...
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04/28/2020
Inferring Temporal Compositions of Actions Using Probabilistic Automata
This paper presents a framework to recognize temporal compositions of at...
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12/10/2019
Forecasting Future Sequence of Actions to Complete an Activity
Future human action forecasting from partial observations of activities ...
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11/22/2019
Learning to Caption Images with Two-Stream Attention and Sentence Auto-Encoder
Automatically generating natural language descriptions from an image is ...
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11/18/2019
Action Anticipation with RBF Kernelized Feature Mapping RNN
We introduce a novel Recurrent Neural Network-based algorithm for future...
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11/18/2019
Action Anticipation with RBF KernelizedFeature Mapping RNN
We introduce a novel Recurrent Neural Network-based algorithm for future...
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10/07/2019
Human Action Sequence Classification
This paper classifies human action sequences from videos using a machine...
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04/16/2019
Weakly Supervised Gaussian Networks for Action Detection
Detecting temporal extents of human actions in videos is a challenging c...
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10/22/2018
VIENA2: A Driving Anticipation Dataset
Action anticipation is critical in scenarios where one needs to react be...
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08/01/2018
Action Anticipation By Predicting Future Dynamic Images
Human action-anticipation methods predict what is the future action by o...
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01/26/2018
Neural Algebra of Classifiers
The world is fundamentally compositional, so it is natural to think of v...
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05/30/2017
Discriminatively Learned Hierarchical Rank Pooling Networks
In this work, we present novel temporal encoding methods for action and ...
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04/10/2017
DeepPermNet: Visual Permutation Learning
We present a principled approach to uncover the structure of visual data...
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04/07/2017
Generalized Rank Pooling for Activity Recognition
Most popular deep models for action recognition split video sequences in...
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03/21/2017
Encouraging LSTMs to Anticipate Actions Very Early
In contrast to the widely studied problem of recognizing an action given...
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03/07/2017
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening
Purpose To develop a computer based method for the automated assessment ...
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12/02/2016
Action Recognition with Dynamic Image Networks
We introduce the concept of "dynamic image", a novel compact representat...
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12/02/2016
Guided Open Vocabulary Image Captioning with Constrained Beam Search
Existing image captioning models do not generalize well to out-of-domain...
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12/02/2016
Unsupervised Human Action Detection by Action Matching
We propose a new task of unsupervised action detection by action matchin...
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11/21/2016
Self-Supervised Video Representation Learning With Odd-One-Out Networks
We propose a new self-supervised CNN pre-training technique based on a n...
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11/17/2016
Generalized BackPropagation, Étude De Cas: Orthogonality
This paper introduces an extension of the backpropagation algorithm that...
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11/17/2016
Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation
Action recognition and anticipation are key to the success of many compu...
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07/29/2016
SPICE: Semantic Propositional Image Caption Evaluation
There is considerable interest in the task of automatically generating i...
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12/06/2015
Rank Pooling for Action Recognition
We propose a function-based temporal pooling method that captures the la...
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11/29/2015
MidRank: Learning to rank based on subsequences
We present a supervised learning to rank algorithm that effectively orde...
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09/16/2015
Guiding Long-Short Term Memory for Image Caption Generation
In this work we focus on the problem of image caption generation. We pro...
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05/03/2015
Object Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors
This paper presents a novel multi scale gradient and a corner point base...
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11/17/2014
Joint cross-domain classification and subspace learning for unsupervised adaptation
Domain adaptation aims at adapting the knowledge acquired on a source do...
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09/26/2014
Location Recognition Over Large Time Lags
Would it be possible to automatically associate ancient pictures to mode...
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09/18/2014