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ORCIDAdam W. Harley
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2020 – today
- 2024
[c22]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Segmentation. CVPR 2024: 3564-3574- [c21]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA 2024: 4916-4923 - [c20]Xinglong Sun, Adam W. Harley, Leonidas J. Guibas:
Refining Pre-Trained Motion Models. ICRA 2024: 4932-4938 - [i28]Xinglong Sun, Adam W. Harley, Leonidas J. Guibas:
Refining Pre-Trained Motion Models. CoRR abs/2401.00850 (2024) - [i27]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Perception. CoRR abs/2401.02416 (2024) - [i26]Xinle Cheng, Congyue Deng, Adam W. Harley, Yixin Zhu, Leonidas J. Guibas:
Zero-Shot Image Feature Consensus with Deep Functional Maps. CoRR abs/2403.12038 (2024) - [i25]Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas J. Guibas, Kostas Daniilidis:
MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds. CoRR abs/2405.17421 (2024) - [i24]Haodi He, Colton Stearns, Adam W. Harley, Leonidas J. Guibas:
View-Consistent Hierarchical 3D SegmentationUsing Ultrametric Feature Fields. CoRR abs/2405.19678 (2024) - [i23]Colton Stearns, Adam W. Harley, Mikaela Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas:
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. CoRR abs/2406.18717 (2024) - 2023
- [c19]Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas:
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. ICCV 2023: 19798-19808 - [c18]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA 2023: 2759-2765 - [i22]Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas:
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR abs/2307.15055 (2023) - [i21]Nikhil Raghuraman, Adam W. Harley, Leonidas J. Guibas:
Cross-Image Context Matters for Bongard Problems. CoRR abs/2309.03468 (2023) - [i20]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR abs/2310.06992 (2023) - [i19]Yang You, Kai Xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou Fang, Adam W. Harley, Cewu Lu:
PACE: Pose Annotations in Cluttered Environments. CoRR abs/2312.15130 (2023) - 2022
- [c17]Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki:
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories. ECCV (22) 2022: 59-75 - [c16]Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki:
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. ECCV (39) 2022: 480-496 - [i18]Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki:
Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories. CoRR abs/2204.04153 (2022) - [i17]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
A Simple Baseline for BEV Perception Without LiDAR. CoRR abs/2206.07959 (2022) - [i16]Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki:
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors. CoRR abs/2207.10761 (2022) - 2021
- [c15]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Self-Improving Embodied Object Detection. BMVC 2021: 270 - [c14]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CVPR 2021: 12487-12496 - [c13]Adam W. Harley, Yiming Zuo
, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki:
Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CVPR 2021: 16581-16591 - [c12]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. ICLR 2021 - [i15]Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki:
Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CoRR abs/2104.03424 (2021) - [i14]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CoRR abs/2104.03851 (2021) - 2020
- [c11]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops 2020: 1567-1570 - [c10]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding With 3D Visual Feature Representations. CVPR 2020: 2217-2226 - [c9]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki:
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. ECCV (26) 2020: 598-614 - [c8]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. ICLR 2020 - [i13]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki:
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. CoRR abs/2008.01295 (2020) - [i12]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR abs/2010.16279 (2020) - [i11]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR abs/2011.03367 (2020) - [i10]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR abs/2012.00057 (2020)
2010 – 2019
- 2019
- [j1]Shih-En Wei, Jason M. Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernán Badino, Yaser Sheikh:
VR facial animation via multiview image translation. ACM Trans. Graph. 38(4): 67:1-67:16 (2019) - [c7]Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. ICCV Workshops 2019: 3324-3332 - [i9]Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. CoRR abs/1901.03628 (2019) - [i8]Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Embodied View-Contrastive 3D Feature Learning. CoRR abs/1906.03764 (2019) - [i7]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR abs/1910.01210 (2019) - 2018
- [c6]Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning From Narrated Demonstrations. CVPR 2018: 7004-7013 - [i6]Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning from Narrated Demonstrations. CoRR abs/1804.10692 (2018) - 2017
- [c5]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. ICCV 2017: 4364-4372 - [c4]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Segmentation-Aware Convolutional Networks Using Local Attention Masks. ICCV 2017: 5048-5057 - [i5]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. CoRR abs/1705.11166 (2017) - [i4]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Segmentation-Aware Convolutional Networks Using Local Attention Masks. CoRR abs/1708.04607 (2017) - 2016
- [c3]Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis:
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. ECCV Workshops (3) 2016: 3-10 - [i3]Jason J. Yu, Adam W. Harley, Konstantinos G. Derpanis:
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness. CoRR abs/1608.05842 (2016) - 2015
- [c2]Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis:
Evaluation of deep convolutional nets for document image classification and retrieval. ICDAR 2015: 991-995 - [c1]Adam W. Harley:
An Interactive Node-Link Visualization of Convolutional Neural Networks. ISVC (1) 2015: 867-877 - [i2]Adam W. Harley, Alex Ufkes, Konstantinos G. Derpanis:
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval. CoRR abs/1502.07058 (2015) - [i1]Adam W. Harley, Konstantinos G. Derpanis, Iasonas Kokkinos:
Learning Dense Convolutional Embeddings for Semantic Segmentation. CoRR abs/1511.04377 (2015)
Coauthor Index
aka: Hsiao-Yu Tung
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last updated on 2024-10-07 22:15 CEST by the dblp team
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