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Maxwell D. Collins
Maxwell D. Collins
TetraMem Inc.
Verified email at tetramem.com
Title
Cited by
Cited by
Year
Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
7502020
Searching for efficient multi-scale architectures for dense image prediction
LC Chen, MD Collins, Y Zhu, G Papandreou, B Zoph, F Schroff, H Adam, ...
NeurIPS 2018, 2018
4912018
Spatially adaptive computation time for residual networks
M Figurnov, MD Collins, Y Zhu, L Zhang, J Huang, D Vetrov, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4092017
Deeperlab: Single-shot image parser
TJ Yang, MD Collins, Y Zhu, JJ Hwang, T Liu, X Zhang, V Sze, ...
arXiv preprint arXiv:1902.05093, 2019
2182019
Memory bounded deep convolutional networks
MD Collins, P Kohli
arXiv preprint arXiv:1412.1442, 2014
2182014
Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation
LC Chen, RG Lopes, B Cheng, MD Collins, ED Cubuk, B Zoph, H Adam, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2082020
Segsort: Segmentation by discriminative sorting of segments
JJ Hwang, SX Yu, J Shi, MD Collins, TJ Yang, X Zhang, LC Chen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1482019
Efficient non-greedy optimization of decision trees
M Norouzi, MD Collins, M Johnson, DJ Fleet, P Kohli
NeurIPS 2015, 2015
1382015
Random walks based multi-image segmentation: Quasiconvexity results and gpu-based solutions
MD Collins, J Xu, L Grady, V Singh
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1656-1663, 2012
1292012
Cmt-deeplab: Clustering mask transformers for panoptic segmentation
Q Yu, H Wang, D Kim, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
982022
Step: Segmenting and tracking every pixel
M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ...
arXiv preprint arXiv:2102.11859, 2021
822021
Multivariate general linear models (MGLM) on Riemannian manifolds with applications to statistical analysis of diffusion weighted images
HJ Kim, N Adluru, MD Collins, MK Chung, BB Bendlin, SC Johnson, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
742014
Tensorize, factorize and regularize: Robust visual relationship learning
SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
722018
Deeplab2: A tensorflow library for deep labeling
M Weber, H Wang, S Qiao, J Xie, MD Collins, Y Zhu, L Yuan, D Kim, Q Yu, ...
arXiv preprint arXiv:2106.09748, 2021
632021
k-means Mask Transformer
Q Yu, H Wang, S Qiao, M Collins, Y Zhu, H Adam, A Yuille, LC Chen
European Conference on Computer Vision, 288-307, 2022
562022
Spectral clustering with a convex regularizer on millions of images
MD Collins, J Liu, J Xu, L Mukherjee, V Singh
European conference on computer vision, 282-298, 2014
492014
Analyzing the subspace structure of related images: Concurrent segmentation of image sets
L Mukherjee, V Singh, J Xu, MD Collins
European Conference on Computer Vision, 128-142, 2012
472012
Co2 forest: Improved random forest by continuous optimization of oblique splits
M Norouzi, MD Collins, DJ Fleet, P Kohli
arXiv preprint arXiv:1506.06155, 2015
332015
Learning to generate image embeddings with user-level differential privacy
Z Xu, M Collins, Y Wang, L Panait, S Oh, S Augenstein, T Liu, F Schroff, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
232023
A deterministic nonsmooth frank wolfe algorithm with coreset guarantees
SN Ravi, MD Collins, V Singh
Informs Journal on Optimization 1 (2), 120-142, 2019
232019
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Articles 1–20