Maxwell D. Collins

According to our database1, Maxwell D. Collins authored at least 27 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Learning to Generate Image Embeddings with User-Level Differential Privacy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
k-means Mask Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
DeepLab2: A TensorFlow Library for Deep Labeling.
CoRR, 2021

STEP: Segmenting and Tracking Every Pixel.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
CoRR, 2020

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees.
INFORMS J. Optim., April, 2019

Panoptic-DeepLab.
CoRR, 2019

DeeperLab: Single-Shot Image Parser.
CoRR, 2019

SegSort: Segmentation by Discriminative Sorting of Segments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Spatially Adaptive Computation Time for Residual Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits.
CoRR, 2015

Efficient Non-greedy Optimization of Decision Trees.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Memory Bounded Deep Convolutional Networks.
CoRR, 2014

Spectral Clustering with a Convex Regularizer on Millions of Images.
Proceedings of the Computer Vision - ECCV 2014, 2014

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.
Proceedings of the Computer Vision - ECCV 2012, 2012

Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010
Network Connectivity via Inference over Curvature-Regularizing Line Graphs.
Proceedings of the Computer Vision - ACCV 2010, 2010


  Loading...