Matthew Brown - RankMe

54 papers A* 10A 4Journal 26Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	OmniNOCS: A Unified NOCS Dataset and Model for 3D Lifting of 2D Objects. ECCV (75) Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown
2024	J	`jnl`	OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects. CoRR Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown
2023	A*	`conf`	Module-wise Adaptive Distillation for Multimodality Foundation Models. NeurIPS Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
2023	J	`jnl`	Module-wise Adaptive Distillation for Multimodality Foundation Models. CoRR Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou
2022	J	`jnl`	2.5D visual relationship detection. Comput. Vis. Image Underst. Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong
2022	A	`conf`	On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui
2021	J	`jnl`	2.5D Visual Relationship Detection. CoRR Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong
2021	J	`jnl`	Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui
2021	—	`conf`	FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. 3DV Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown
2021	J	`jnl`	FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object Category Modelling. CoRR Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, Matthew Brown
2021	A*	`conf`	MoViNets: Mobile Video Networks for Efficient Video Recognition. CVPR Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
2021	J	`jnl`	MoViNets: Mobile Video Networks for Efficient Video Recognition. CoRR Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong
2021	J	`jnl`	Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown
2020	—	`conf`	Federated Visual Classification with Real-World Data Distribution. ECCV (10) Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2020	J	`jnl`	Federated Visual Classification with Real-World Data Distribution. CoRR Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2020	—	`conf`	GeLaTO: Generative Latent Textured Objects. ECCV (6) Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman
2020	J	`jnl`	GeLaTO: Generative Latent Textured Objects. CoRR Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B. Goldman
2020	A*	`conf`	Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong
2020	J	`jnl`	Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong
2020	J	`jnl`	When Ensembling Smaller Models is More Efficient than Single Large Models. CoRR Dan Kondratyuk, Mingxing Tan, Matthew Brown, Boqing Gong
2019	J	`jnl`	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification. CoRR Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown
2018	A*	`conf`	Frame-Recurrent Video Super-Resolution. CVPR Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2018	J	`jnl`	Frame-Recurrent Video Super-Resolution. CoRR Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2018	—	`conf`	Learning to Segment via Cut-and-Paste. ECCV (7) Tal Remez, Jonathan Huang, Matthew Brown
2018	J	`jnl`	Learning to Segment via Cut-and-Paste. CoRR Tal Remez, Jonathan Huang, Matthew Brown
2018	A*	`conf`	Low-Shot Learning With Imprinted Weights. CVPR Hang Qi, Matthew Brown, David G. Lowe
2017	A*	`conf`	Enhancing Video Summarization via Vision-Language Embedding. CVPR Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
2017	J	`jnl`	Learning with Imprinted Weights. CoRR Hang Qi, Matthew Brown, David G. Lowe
2017	J	`jnl`	Nonrigid Optical Flow Ground Truth for Real-World Scenes With Time-Varying Shading Effects. IEEE Robotics Autom. Lett. Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown
2017	J	`jnl`	Pose2Instance: Harnessing Keypoints for Person Instance Segmentation. CoRR Subarna Tripathi, Maxwell Collins, Matthew Brown, Serge J. Belongie
2017	A*	`conf`	Unsupervised Learning of Depth and Ego-Motion from Video. CVPR Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe
2017	J	`jnl`	Unsupervised Learning of Depth and Ego-Motion from Video. CoRR Tinghui Zhou, Matthew Brown, Noah Snavely, David G. Lowe
2016	J	`jnl`	Decision Forests, Convolutional Networks and the Models in-Between. CoRR Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi
2016	J	`jnl`	Dense Nonrigid Ground Truth for Optical Flow in Real-World Scenes. CoRR Wenbin Li, Darren Cosker, Zhihan Lv, Matthew Brown
2016	J	`jnl`	Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences. CoRR Wenbin Li, Darren Cosker, Matthew Brown
2016	J	`jnl`	Drift robust non-rigid optical flow enhancement for long sequences. J. Intell. Fuzzy Syst. Wenbin Li, Darren Cosker, Matthew Brown
2016	—	`conf`	Fast, accurate and sparse, automatic facade reconstruction from unstructured ground laser-scans. SIGGRAPH Posters Kwamina Edum-Fotwe, Paul Shepherd, Matthew Brown, Dan Harper, Richard Dinnis
2016	—	`conf`	Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant
2016	—	`conf`	Quick, unconstrained, approximate l-shape method. SIGGRAPH Posters Kwamina Edum-Fotwe, Paul Shepherd, Matthew Brown, Dan Harper, Richard Dinnis
2015	—	`conf`	Content-Aware Projection for Tiny Planets. Eurographics (Short Papers) Matthew Brown
2015	J	`jnl`	Inferring changes in intrinsic parameters from motion blur. Comput. Graph. Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
2015	A*	`conf`	Learning similarity metrics for dynamic scene segmentation. CVPR Damien Teney, Matthew Brown, Dimitry Kit, Peter Hall
2014	J	`jnl`	Appearance Stylization of Manhattan World Buildings. Comput. Graph. Forum Chuan Li, Philip J. Willis, Matthew Brown
2014	—	`conf`	Designing sensor sets for capturing energy events in buildings. e-Energy Tom Lovett, Elizabeth Gabe-Thomas, Sukumar Natarajan, Matthew Brown, Julian A. Padget
2014	—	`conf`	Estimating camera intrinsics from motion blur. CVMP Alastair Barber, Matthew Brown, Paul Hogbin, Darren Cosker
2014	—	`ch.`	Image Stitching. Computer Vision, A Reference Guide Matthew Brown
2014	A	`conf`	Segmentation of Dynamic Scenes with Distributions of Spatiotemporally Oriented Energies. BMVC Damien Teney, Matthew Brown
2013	A*	`conf`	Optical Flow Estimation Using Laplacian Mesh Energy. CVPR Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang
2013	A	`conf`	User-aided single image shadow removal. ICME Han Gong, Darren Cosker, Chuan Li, Matthew Brown
2012	—	`conf`	An Anchor Patch Based Optimization Framework for Reducing Optical Flow Drift in Long Image Sequences. ACCV (3) Wenbin Li, Darren Cosker, Matthew Brown
2007	J	`jnl`	Automatic Panoramic Image Stitching using Invariant Features. Int. J. Comput. Vis. Matthew Brown, David G. Lowe
2005	—	`conf`	Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets. 3DIM Matthew Brown, David G. Lowe
2003	A*	`conf`	Recognising Panoramas. ICCV Matthew Brown, David G. Lowe
2002	A	`conf`	Invariant Features from Interest Point Groups. BMVC Matthew Brown, David G. Lowe