Search Results for author: Alex Bewley

Found 22 papers, 9 papers with code

Robots That Can See: Leveraging Human Pose for Trajectory Prediction

1 code implementation29 Sep 2023 Tim Salzmann, Lewis Chiang, Markus Ryll, Dorsa Sadigh, Carolina Parada, Alex Bewley

Anticipating the motion of all humans in dynamic environments such as homes and offices is critical to enable safe and effective robot navigation.

Robot Navigation Trajectory Prediction

Video OWL-ViT: Temporally-consistent open-world localization in video

no code implementations ICCV 2023 Georg Heigold, Matthias Minderer, Alexey Gritsenko, Alex Bewley, Daniel Keysers, Mario Lučić, Fisher Yu, Thomas Kipf

Our model is end-to-end trainable on video data and enjoys improved temporal consistency compared to tracking-by-detection baselines, while retaining the open-world capabilities of the backbone detector.

Object Localization

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection

1 code implementation20 May 2020 Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu

This paper presents a novel 3D object detection framework that processes LiDAR data directly on its native representation: range images.

3D Object Detection Autonomous Driving +1

Guiding Physical Intuition with Neural Stethoscopes

no code implementations ICLR 2019 Fabian Fuchs, Oliver Groth, Adam Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

Using an adversarial stethoscope, the network is successfully de-biased, leading to a performance increase from 66% to 88%.

Physical Intuition

Learning to Drive from Simulation without Real World Labels

no code implementations10 Dec 2018 Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall

Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems.

Image-to-Image Translation Translation

Deep Cosine Metric Learning for Person Re-Identification

5 code implementations2 Dec 2018 Nicolai Wojke, Alex Bewley

Metric learning aims to construct an embedding where two extracted features corresponding to the same identity are likely to be closer than features from different identities.

General Classification Metric Learning +2

Dropout Distillation for Efficiently Estimating Model Confidence

no code implementations27 Sep 2018 Corina Gurau, Alex Bewley, Ingmar Posner

We also propose better calibration within the state of the art Faster R-CNN object detection framework and show, using the COCO dataset, that DDN helps train better calibrated object detectors.

General Classification Image Classification +3

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes

no code implementations14 Jun 2018 Fabian B. Fuchs, Oliver Groth, Adam R. Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner

Conversely, training on an easy dataset where visual cues are positively correlated with stability, the baseline model learns a bias leading to poor performance on a harder dataset.

Meshed Up: Learnt Error Correction in 3D Reconstructions

no code implementations27 Jan 2018 Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman

We train a suitably deep network architecture with two 3D meshes: a high-quality laser reconstruction, and a lower quality stereo image reconstruction.

Image Reconstruction

Incremental Adversarial Domain Adaptation for Continually Changing Environments

no code implementations20 Dec 2017 Markus Wulfmeier, Alex Bewley, Ingmar Posner

Continuous appearance shifts such as changes in weather and lighting conditions can impact the performance of deployed machine learning models.

Unsupervised Domain Adaptation

What Makes a Place? Building Bespoke Place Dependent Object Detectors for Robotics

no code implementations7 Aug 2017 Jeffrey Hawke, Alex Bewley, Ingmar Posner

This paper is about enabling robots to improve their perceptual performance through repeated use in their operating environment, creating local expert detectors fitted to the places through which a robot moves.

Autonomous Driving

Hierarchical Attentive Recurrent Tracking

1 code implementation NeurIPS 2017 Adam R. Kosiorek, Alex Bewley, Ingmar Posner

Class-agnostic object tracking is particularly difficult in cluttered environments as target specific discriminative models cannot be learned a priori.

Activity Recognition Object Tracking

Simple Online and Realtime Tracking with a Deep Association Metric

73 code implementations21 Mar 2017 Nicolai Wojke, Alex Bewley, Dietrich Paulus

Simple Online and Realtime Tracking (SORT) is a pragmatic approach to multiple object tracking with a focus on simple, effective algorithms.

Large-Scale Person Re-Identification Multiple Object Tracking +1

Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation

no code implementations4 Mar 2017 Markus Wulfmeier, Alex Bewley, Ingmar Posner

Appearance changes due to weather and seasonal conditions represent a strong impediment to the robust implementation of machine learning systems in outdoor robotics.

Autonomous Driving Motion Planning +1

Simple Online and Realtime Tracking

56 code implementations2 Feb 2016 Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Ramos, Ben Upcroft

This paper explores a pragmatic approach to multiple object tracking where the main focus is to associate objects efficiently for online and realtime applications.

Multi-Object Tracking Multiple Object Tracking

Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks

no code implementations30 Nov 2015 ZongYuan Ge, Alex Bewley, Christopher Mccool, Ben Upcroft, Peter Corke, Conrad Sanderson

We present a novel deep convolutional neural network (DCNN) system for fine-grained image classification, called a mixture of DCNNs (MixDCNN).

Classification Fine-Grained Image Classification +1

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