Maxwell D. Collins

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 25

Top Topics

Scene Segmentation

Differential Privacy

Automatically Segmented

Top Venues

Publications

Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
Learning to Generate Image Embeddings with User-Level Differential Privacy. CVPR (2023)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. CoRR (2022)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR (2022)
Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
Learning to Generate Image Embeddings with User-level Differential Privacy. CoRR (2022)
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR (2022)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. ECCV (24) (2022)
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR (2021)
Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
STEP: Segmenting and Tracking Every Pixel. CoRR (2021)
Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks (2021)
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR (2020)
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR (2020)
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) (2020)
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. INFORMS J. Optim. 1 (2) (2019)
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
SegSort: Segmentation by Discriminative Sorting of Segments. ICCV (2019)
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
SegSort: Segmentation by Discriminative Sorting of Segments. CoRR (2019)
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
DeeperLab: Single-Shot Image Parser. CoRR (2019)
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
Panoptic-DeepLab. CoRR (2019)
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR (2019)
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS (2018)
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. CVPR (2018)
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR (2018)
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. CoRR (2017)
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
Spatially Adaptive Computation Time for Residual Networks. CVPR (2017)
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
Spatially Adaptive Computation Time for Residual Networks. CoRR (2016)
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR (2016)
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
Efficient Non-greedy Optimization of Decision Trees. NIPS (2015)
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV (2015)
Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits. CoRR (2015)
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
Efficient non-greedy optimization of decision trees. CoRR (2015)
Maxwell D. Collins, Pushmeet Kohli
Memory Bounded Deep Convolutional Networks. CoRR (2014)
Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR (2014)
Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
Spectral Clustering with a Convex Regularizer on Millions of Images. ECCV (3) (2014)
Jia Xu, Maxwell D. Collins, Vikas Singh
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus. CVPR (2013)
Deepti Pachauri, Maxwell D. Collins, Vikas Singh
Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis. ICML (2012)
Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins
Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. ECCV (4) (2012)
Maxwell D. Collins, Jia Xu, Leo J. Grady, Vikas Singh
Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions. CVPR (2012)
Maxwell D. Collins, Vikas Singh, Andrew L. Alexander
Network Connectivity via Inference over Curvature-Regularizing Line Graphs. ACCV (1) (2010)