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09/16/2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
Large-scale noisy web image-text datasets have been proven to be efficie...
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08/24/2023
Preserving Modality Structure Improves Multi-Modal Learning
Self-supervised learning on large-scale multi-modal datasets allows lear...
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05/21/2023
Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages
Recent models such as XLS-R and Whisper have made multilingual speech te...
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05/01/2023
ISAAC Newton: Input-based Approximate Curvature for Newton's Method
We present ISAAC (Input-baSed ApproximAte Curvature), a novel method tha...
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04/11/2023
WEAR: A Multimodal Dataset for Wearable and Egocentric Video Activity Recognition
Though research has shown the complementarity of camera- and inertial-ba...
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03/29/2023
What, when, and where? – Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
Spatio-temporal grounding describes the task of localizing events in spa...
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03/23/2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Most approaches for self-supervised learning (SSL) are optimised on cura...
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03/15/2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
Large scale Vision-Language (VL) models have shown tremendous success in...
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03/09/2023
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Temporal action segmentation in untrimmed videos has gained increased at...
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01/05/2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
Contrastive learning has become a prominent ingredient in learning repre...
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11/24/2022
Video Test-Time Adaptation for Action Recognition
Although action recognition systems can achieve top performance when eva...
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10/15/2022
Deep Differentiable Logic Gate Networks
Recently, research has increasingly focused on developing efficient neur...
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10/07/2022
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
Multilingual text-video retrieval methods have improved significantly in...
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09/12/2022
VL-Taboo: An Analysis of Attribute-based Zero-shot Capabilities of Vision-Language Models
Vision-language models trained on large, randomly collected data had sig...
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08/03/2022
Augmentation Learning for Semi-Supervised Classification
Recently, a number of new Semi-Supervised Learning methods have emerged....
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07/05/2022
Weakly Supervised Grounding for VQA in Vision-Language Transformers
Transformers for visual-language representation learning have been getti...
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06/15/2022
Differentiable Top-k Classification Learning
The top-k classification accuracy is one of the core metrics in machine ...
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03/30/2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
Although action recognition has achieved impressive results over recent ...
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03/17/2022
Monotonic Differentiable Sorting Networks
Differentiable sorting algorithms allow training with sorting and rankin...
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12/08/2021
Everything at Once – Multi-modal Fusion Transformer for Video Retrieval
Multi-modal learning from video data has seen increased attention recent...
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12/04/2021
Unsupervised Domain Generalization by Learning a Bridge Across Domains
The ability to generalize learned representations across significantly d...
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12/01/2021
Routing with Self-Attention for Multimodal Capsule Networks
The task of multimodal learning has seen a growing interest recently as ...
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11/08/2021
Cascaded Multilingual Audio-Visual Learning from Videos
In this paper, we explore self-supervised audio-visual models that learn...
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10/20/2021
Style Agnostic 3D Reconstruction via Adversarial Style Transfer
Reconstructing the 3D geometry of an object from an image is a major cha...
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10/11/2021
Learning with Algorithmic Supervision via Continuous Relaxations
The integration of algorithmic components into neural architectures has ...
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08/18/2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Both generalized and incremental few-shot learning have to deal with thr...
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05/11/2021
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
The problem of grounding VQA tasks has seen an increased attention in th...
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05/09/2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision
Sorting and ranking supervision is a method for training neural networks...
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04/30/2021
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities
Action recognition and detection in the context of long untrimmed video ...
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04/26/2021
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Multimodal self-supervised learning is getting more and more attention a...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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01/29/2020
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
Understanding the structure of complex activities in videos is one of th...
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12/02/2019
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Current state-of-the-art models for video action recognition are mostly ...
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06/03/2019
A Hybrid RNN-HMM Approach for Weakly Supervised Temporal Action Segmentation
Action recognition has become a rapidly developing research field within...
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06/03/2019
Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data
Action recognition is so far mainly focusing on the problem of classific...
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04/08/2019
Unsupervised learning of action classes with continuous temporal embedding
The task of temporally detecting and segmenting actions in untrimmed vid...
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05/17/2018
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
Video learning is an important task in computer vision and has experienc...
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06/27/2017
Recurrent Residual Learning for Action Recognition
Action recognition is a fundamental problem in computer vision with a lo...
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06/02/2017
Temporal Action Labeling using Action Sets
Action detection and temporal segmentation of actions in videos are topi...
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03/23/2017
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
We present an approach for weakly supervised learning of human actions. ...
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10/07/2016
Weakly supervised learning of actions from transcripts
We present an approach for weakly supervised learning of human actions f...
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09/07/2015