research
∙
09/04/2023
DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
We present an innovative approach to 3D Human Pose Estimation (3D-HPE) b...
share
research
∙
06/15/2023
Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving
Motion forecasting plays a critical role in enabling robots to anticipat...
research
∙
05/25/2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models
Particle-based deep generative models, such as gradient flows and score-...
research
∙
11/22/2022
OCTET: Object-aware Counterfactual Explanations
Nowadays, deep vision models are being widely deployed in safety-critica...
research
∙
11/17/2021
STEEX: Steering Counterfactual Explanations with Semantics
As deep learning models are increasingly used in safety-critical applica...
research
∙
09/16/2021
Raising context awareness in motion forecasting
Learning-based trajectory prediction models have encountered great succe...
research
∙
06/10/2021
A Neural Tangent Kernel Perspective of GANs
Theoretical analyses for Generative Adversarial Networks (GANs) generall...
research
∙
02/21/2020
Stochastic Latent Residual Video Prediction
Designing video prediction models that account for the inherent uncertai...
research
∙
05/27/2019
Unsupervised Object Segmentation by Redrawing
Object segmentation is a crucial problem that is usually solved by using...
research
∙
11/01/2017
