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08/22/2023
How Much Temporal Long-Term Context is Needed for Action Segmentation?
Modeling long-term context in videos is crucial for many fine-grained ta...
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08/18/2023
Smoothness Similarity Regularization for Few-Shot GAN Adaptation
The task of few-shot GAN adaptation aims to adapt a pre-trained GAN mode...
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08/12/2023
3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
Tracking 3D objects accurately and consistently is crucial for autonomou...
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06/26/2023
Action Anticipation with Goal Consistency
In this paper, we address the problem of short-term action anticipation,...
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06/19/2023
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View
Accurately perceiving instances and predicting their future motion are k...
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06/09/2023
A Dual-Source Attention Transformer for Multi-Person Pose Tracking
Multi-person pose tracking is an important element for many applications...
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12/16/2022
Location-aware Adaptive Denormalization: A Deep Learning Approach For Wildfire Danger Forecasting
Climate change is expected to intensify and increase extreme events in t...
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10/12/2022
Robust Action Segmentation from Timestamp Supervision
Action segmentation is the task of predicting an action label for each f...
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09/24/2022
Self-supervised Learning for Unintentional Action Prediction
Distinguishing if an action is performed as intended or if an intended a...
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09/15/2022
One-Shot Synthesis of Images and Segmentation Masks
Joint synthesis of images and segmentation masks with generative adversa...
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09/01/2022
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation
This paper introduces a unified framework for video action segmentation ...
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06/14/2022
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
We consider the problem of synthesizing multi-action human motion sequen...
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01/27/2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives
This paper introduces Ranking Info Noise Contrastive Estimation (RINCE),...
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11/30/2021
ATS: Adaptive Token Sampling For Efficient Vision Transformers
While state-of-the-art vision transformer models achieve promising resul...
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11/16/2021
Keypoint Message Passing for Video-based Person Re-Identification
Video-based person re-identification (re-ID) is an important technique i...
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10/27/2021
Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction
While recurrent neural networks (RNNs) demonstrate outstanding capabilit...
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09/23/2021
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Self-supervised video representation methods typically focus on the repr...
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08/09/2021
FIFA: Fast Inference Approximation for Action Segmentation
We introduce FIFA, a fast approximate inference method for action segmen...
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07/29/2021
Using Visual Anomaly Detection for Task Execution Monitoring
Execution monitoring is essential for robots to detect and respond to fa...
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07/18/2021
Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos
Anticipating human actions is an important task that needs to be address...
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07/05/2021
Towards Better Adversarial Synthesis of Human Images from Text
This paper proposes an approach that generates multiple 3D human meshes ...
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05/12/2021
Learning to Generate Novel Scene Compositions from Single Images and Videos
Training GANs in low-data regimes remains a challenge, as overfitting of...
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03/24/2021
One-Shot GAN: Learning to Generate Samples from Single Images and Videos
Given a large number of training samples, GANs can achieve remarkable pe...
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03/11/2021
Temporal Action Segmentation from Timestamp Supervision
Temporal action segmentation approaches have been very successful recent...
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01/24/2021
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
In this work we propose an approach for estimating 3D human poses of mul...
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01/21/2021
Hierarchical Graph-RNNs for Action Detection of Multiple Activities
In this paper, we propose an approach that spatially localizes the activ...
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01/21/2021
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
Since collecting and annotating data for spatio-temporal action detectio...
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11/12/2020
PoseTrackReID: Dataset Description
Current datasets for video-based person re-identification (re-ID) do not...
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11/11/2020
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
This paper introduces a novel method for self-supervised video represent...
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09/02/2020
Long-Term Anticipation of Activities with Cycle Consistency
With the success of deep learning methods in analyzing activities in vid...
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08/11/2020
Audio- and Gaze-driven Facial Animation of Codec Avatars
Codec Avatars are a recent class of learned, photorealistic face models ...
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05/19/2020
On Evaluating Weakly Supervised Action Segmentation Methods
Action segmentation is the task of temporally segmenting every frame of ...
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05/01/2020
Adversarial Synthesis of Human Pose from Text
This work introduces the novel task of human pose synthesis from text. I...
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04/27/2020
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos
Video annotation is expensive and time consuming. Consequently, datasets...
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03/31/2020
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation
Temporal action segmentation is a topic of increasing interest, however,...
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12/30/2019
Discovering Latent Classes for Semi-Supervised Semantic Segmentation
High annotation costs are a major bottleneck for the training of semanti...
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12/13/2019
Bonn Activity Maps: Dataset Description
The key prerequisite for accessing the huge potential of current machine...
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12/13/2019
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
The estimation of viewpoints and keypoints effectively enhance object de...
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12/12/2019
Human Motion Anticipation with Symbolic Label
Anticipating human motion depends on two factors: the past motion and th...
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10/10/2019
Cross-modal knowledge distillation for action recognition
In this work, we address the problem how a network for action recognitio...
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08/26/2019
Uncertainty-Aware Anticipation of Activities
Anticipating future activities in video is a task with many practical ap...
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07/30/2019
Open Set Domain Adaptation for Image and Action Recognition
Since annotating and curating large datasets is very expensive, there is...
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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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05/16/2019
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation
Since acquiring pixel-wise annotations for training convolutional neural...
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05/15/2019
3D Semantic Scene Completion from a Single Depth Image using Adversarial Training
We address the task of 3D semantic scene completion, i.e. , given a sing...
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04/26/2019
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
We propose a joint model of human joint detection and association for 2D...
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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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04/05/2019
Weakly Supervised Action Segmentation Using Mutual Consistency
Action segmentation is the task of predicting the actions in each frame ...
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04/05/2019
