research
∙
09/03/2023
Diffusion Models with Deterministic Normalizing Flow Priors
For faster sampling and higher sample quality, we propose DiNof (Diffusi...
share
research
∙
08/31/2023
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion Prediction
A new method is proposed for human motion prediction by learning tempora...
research
∙
08/15/2023
Learning Better Keypoints for Multi-Object 6DoF Pose Estimation
We investigate the impact of pre-defined keypoints for pose estimation, ...
research
∙
07/07/2023
Context-aware Pedestrian Trajectory Prediction with Multimodal Transformer
We propose a novel solution for predicting future trajectories of pedest...
research
∙
06/26/2023
Continual Learning for Out-of-Distribution Pedestrian Detection
A continual learning solution is proposed to address the out-of-distribu...
research
∙
06/23/2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework
The Long-Tailed Recognition (LTR) problem emerges in the context of lear...
research
∙
05/16/2023
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
We propose a method that augments a simulated dataset using diffusion mo...
research
∙
10/14/2022
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose Estimation
We propose a novel keypoint voting 6DoF object pose estimation method, w...
research
∙
07/14/2022
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection
We present ObjectBox, a novel single-stage anchor-free and highly genera...
research
∙
02/21/2022
Multiscale Crowd Counting and Localization By Multitask Point Supervision
We propose a multitask approach for crowd counting and person localizati...
research
∙
06/12/2021
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
This work presents a novel approach to improve the results of pose estim...
research
∙
04/24/2021
Oriented Bounding Boxes for Small and Freely Rotated Objects
A novel object detection method is presented that handles freely rotated...
research
∙
04/09/2021
Flow-based Autoregressive Structured Prediction of Human Motion
A new method is proposed for human motion predition by learning temporal...
research
∙
04/06/2021
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
We propose a novel keypoint voting scheme based on intersecting spheres,...
research
∙
04/06/2021
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
We present the Teacher-Student Generative Adversarial Network (TS-GAN) t...
research
∙
02/22/2021
Procam Calibration from a Single Pose of a Planar Target
A novel user friendly method is proposed for calibrating a procam system...
research
∙
01/03/2021
Depth as Attention for Face Representation Learning
Face representation learning solutions have recently achieved great succ...
research
∙
11/08/2020
Exploring End-to-End Differentiable Natural Logic Modeling
We explore end-to-end trained differentiable models that integrate natur...
research
∙
10/19/2020
Deriving Commonsense Inference Tasks from Interactive Fictions
Commonsense reasoning simulates the human ability to make presumptions a...
research
∙
04/06/2020
Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games
We propose the new problem of learning to recover reasoning chains from ...
research
∙
02/29/2020
Attention-aware fusion RGB-D face recognition
A novel attention aware method is proposed to fuse two image modalities,...
research
∙
09/08/2012