Search Results for author: Vincent Casser

Found 16 papers, 6 papers with code

Instance Segmentation with Cross-Modal Consistency

no code implementations14 Oct 2022 Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk

We demonstrate that this formulation encourages the models to learn embeddings that are invariant to viewpoint variations and consistent across sensor modalities.

Autonomous Driving Contrastive Learning +4

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection

1 code implementation15 Jun 2022 Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov

The popular object detection metric 3D Average Precision (3D AP) relies on the intersection over union between predicted bounding boxes and ground truth bounding boxes.

Depth Estimation Object Detection

GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting

no code implementations16 Jan 2022 Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov

We propose GradTail, an algorithm that uses gradients to improve model performance on the fly in the face of long-tailed training data distributions.


4D-Net for Learned Multi-Modal Alignment

1 code implementation ICCV 2021 AJ Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova

We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB sensing information, both in time.

3D Object Detection object-detection

Unsupervised Monocular Depth Learning in Dynamic Scenes

4 code implementations30 Oct 2020 Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova

We present a method for jointly training the estimation of depth, ego-motion, and a dense 3D translation field of objects relative to the scene, with monocular photometric consistency being the sole source of supervision.

Depth Prediction Monocular Depth Estimation +2

Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability

1 code implementation ECCV 2020 Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva

Based on our findings we propose a new mathematical formulation of memorability decay, resulting in a model that is able to produce the first quantitative estimation of how a video decays in memory over time.

Predicting Visual Importance Across Graphic Design Types

no code implementations7 Aug 2020 Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii

This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to predict visual importance in input graphic designs, and saliency in natural images, along with a new dataset and applications.

Taskology: Utilizing Task Relations at Scale

no code implementations CVPR 2021 Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

Many computer vision tasks address the problem of scene understanding and are naturally interrelated e. g. object classification, detection, scene segmentation, depth estimation, etc.

Depth Estimation Motion Estimation +4

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing

no code implementations18 Apr 2019 Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

A common approach is to learn an end-to-end policy that directly predicts controls from raw images by imitating an expert.

Fast Mitochondria Detection for Connectomics

no code implementations MIDL 2019 Vincent Casser, Kai Kang, Hanspeter Pfister, Daniel Haehn

High-resolution connectomics data allows for the identification of dysfunctional mitochondria which are linked to a variety of diseases such as autism or bipolar.

OIL: Observational Imitation Learning

no code implementations3 Mar 2018 Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

Recent work has explored the problem of autonomous navigation by imitating a teacher and learning an end-to-end policy, which directly predicts controls from raw images.

Autonomous Driving Autonomous Navigation +2

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications

no code implementations19 Aug 2017 Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem

We present a photo-realistic training and evaluation simulator (Sim4CV) with extensive applications across various fields of computer vision.

Autonomous Driving

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