Adam W. Harley

According to our database1, Adam W. Harley authored at least 33 papers between 2015 and 2024.

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Bibliography

2024
Zero-Shot Image Feature Consensus with Deep Functional Maps.
CoRR, 2024

ODIN: A Single Model for 2D and 3D Perception.
CoRR, 2024

Refining Pre-Trained Motion Models.
CoRR, 2024

2023
PACE: Pose Annotations in Cluttered Environments.
CoRR, 2023

Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models.
CoRR, 2023

Cross-Image Context Matters for Bongard Problems.
CoRR, 2023

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
A Simple Baseline for BEV Perception Without LiDAR.
CoRR, 2022

Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories.
CoRR, 2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.
Proceedings of the Computer Vision - ECCV 2022, 2022

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

CoCoNets: Continuous Contrastive 3D Scene Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Track, Check, Repeat: An EM Approach to Unsupervised Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Move to See Better: Self-Improving Embodied Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Move to See Better: Towards Self-Supervised Amodal Object Detection.
CoRR, 2020

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations.
CoRR, 2020

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping.
Proceedings of the 8th International Conference on Learning Representations, 2020

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping.
Proceedings of the Computer Vision - ECCV 2020, 2020

Embodied Language Grounding With 3D Visual Feature Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
VR facial animation via multiview image translation.
ACM Trans. Graph., 2019

Embodied Language Grounding with Implicit 3D Visual Feature Representations.
CoRR, 2019

Embodied View-Contrastive 3D Feature Learning.
CoRR, 2019

Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Reward Learning From Narrated Demonstrations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Segmentation-Aware Convolutional Networks Using Local Attention Masks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Learning Dense Convolutional Embeddings for Semantic Segmentation.
CoRR, 2015

An Interactive Node-Link Visualization of Convolutional Neural Networks.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Evaluation of deep convolutional nets for document image classification and retrieval.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015


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