Maxwell D. Collins

38 papers A* 13Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Is Attention Required for Transformer Inference? Explore Function-preserving Attention Replacement.
CoRR
Yuxin Ren, Maxwell D. Collins, Miao Hu, Huanrui Yang
2023 A* conf
Learning to Generate Image Embeddings with User-Level Differential Privacy.
CVPR
Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
2022 A* conf
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.
CVPR
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.
CoRR
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
Learning to Generate Image Embeddings with User-level Differential Privacy.
CoRR
Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan
2022 — conf
k-means Mask Transformer.
ECCV (29)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022 J jnl
k-means Mask Transformer.
CoRR
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2021 J jnl
DeepLab2: A TensorFlow Library for Deep Labeling.
CoRR
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
2021 — conf
STEP: Segmenting and Tracking Every Pixel.
NeurIPS Datasets and Benchmarks
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
2021 J jnl
STEP: Segmenting and Tracking Every Pixel.
CoRR
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
2020 J jnl
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
CoRR
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020 — conf
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation.
ECCV (9)
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020 A* conf
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.
CVPR
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2019 J jnl
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees.
INFORMS J. Optim.
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
2019 J jnl
DeeperLab: Single-Shot Image Parser.
CoRR
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
2019 J jnl
Panoptic-DeepLab.
CoRR
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2019 J jnl
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation.
CoRR
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2019 A* conf
SegSort: Segmentation by Discriminative Sorting of Segments.
ICCV
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019 J jnl
SegSort: Segmentation by Discriminative Sorting of Segments.
CoRR
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2018 A* conf
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
NeurIPS
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2018 J jnl
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction.
CoRR
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2018 A* conf
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.
CVPR
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
2017 J jnl
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees.
CoRR
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh
2017 A* conf
Spatially Adaptive Computation Time for Residual Networks.
CVPR
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
2016 A* conf
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.
CVPR
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
2016 J jnl
Spatially Adaptive Computation Time for Residual Networks.
CoRR
Michael Figurnov, Maxwell D. Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry P. Vetrov, Ruslan Salakhutdinov
2015 A* conf
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
ICCV
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2015 J jnl
CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits.
CoRR
Mohammad Norouzi, Maxwell D. Collins, David J. Fleet, Pushmeet Kohli
2015 — conf
Efficient Non-greedy Optimization of Decision Trees.
NIPS
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
2015 J jnl
Efficient non-greedy optimization of decision trees.
CoRR
Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
2014 J jnl
Memory Bounded Deep Convolutional Networks.
CoRR
Maxwell D. Collins, Pushmeet Kohli
2014 A* conf
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.
CVPR
Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
2014 — conf
Spectral Clustering with a Convex Regularizer on Millions of Images.
ECCV (3)
Maxwell D. Collins, Ji Liu, Jia Xu, Lopamudra Mukherjee, Vikas Singh
2013 A* conf
Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus.
CVPR
Jia Xu, Maxwell D. Collins, Vikas Singh
2012 — conf
Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.
ECCV (4)
Lopamudra Mukherjee, Vikas Singh, Jia Xu, Maxwell D. Collins
2012 A* conf
Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis.
ICML
Deepti Pachauri, Maxwell D. Collins, Vikas Singh
2012 A* conf
Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions.
CVPR
Maxwell D. Collins, Jia Xu, Leo J. Grady, Vikas Singh
2010 — conf
Network Connectivity via Inference over Curvature-Regularizing Line Graphs.
ACCV (1)
Maxwell D. Collins, Vikas Singh, Andrew L. Alexander