Network Connectivity via Inference over Curvature-Regularizing Line Graphs. - Maxwell D. Collins; Vikas Singh; Andrew L. Alexander (ACCV (1), 2010)

Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions. - Maxwell D. Collins; Jia Xu 011; Leo J. Grady; Vikas Singh (CVPR, 2012)

Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets. - Lopamudra Mukherjee; Vikas Singh; Jia Xu 011; Maxwell D. Collins (ECCV (4), 2012)

Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis. - Deepti Pachauri; Maxwell D. Collins; Vikas Singh (ICML, 2012)

Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus. - Jia Xu 011; Maxwell D. Collins; Vikas Singh (CVPR, 2013)

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. - Hyunwoo J. Kim; Barbara B. Bendlin; Nagesh Adluru; Maxwell D. Collins; Moo K. Chung; Sterling C. Johnson; Richard J. Davidson; Vikas Singh (CVPR, 2014)

Spectral Clustering with a Convex Regularizer on Millions of Images. - Maxwell D. Collins; Ji Liu 002; Jia Xu 011; Lopamudra Mukherjee; Vikas Singh (ECCV (3), 2014)

Memory Bounded Deep Convolutional Networks. - Maxwell D. Collins; Pushmeet Kohli (CoRR, 2014)

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. - Seong Jae Hwang; Maxwell D. Collins; Sathya N. Ravi; Vamsi K. Ithapu; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ICCV, 2015)

Efficient Non-greedy Optimization of Decision Trees. - Mohammad Norouzi 002; Maxwell D. Collins; Matthew Johnson 003; David J. Fleet; Pushmeet Kohli (NIPS, 2015)

CO2 Forest: Improved Random Forest by Continuous Optimization of Oblique Splits. - Mohammad Norouzi 002; Maxwell D. Collins; David J. Fleet; Pushmeet Kohli (CoRR, 2015)

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. - Seong Jae Hwang; Nagesh Adluru; Maxwell D. Collins; Sathya N. Ravi; Barbara B. Bendlin; Sterling C. Johnson; Vikas Singh (CVPR, 2016)

Spatially Adaptive Computation Time for Residual Networks. - Michael Figurnov; Maxwell D. Collins; Yukun Zhu; Li Zhang 003; Jonathan Huang; Dmitry P. Vetrov; Ruslan Salakhutdinov (CVPR, 2017)

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. - Seong Jae Hwang; Sathya N. Ravi; Zirui Tao; Hyunwoo J. Kim; Maxwell D. Collins; Vikas Singh (CVPR, 2018)

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. - Liang-Chieh Chen; Maxwell D. Collins; Yukun Zhu; George Papandreou; Barret Zoph; Florian Schroff; Hartwig Adam; Jonathon Shlens (NeurIPS, 2018)

SegSort: Segmentation by Discriminative Sorting of Segments. - Jyh-Jing Hwang; Stella X. Yu; Jianbo Shi; Maxwell D. Collins; Tien-Ju Yang; Xiao Zhang; Liang-Chieh Chen (ICCV, 2019)

DeeperLab: Single-Shot Image Parser. - Tien-Ju Yang; Maxwell D. Collins; Yukun Zhu; Jyh-Jing Hwang; Ting Liu 005; Xiao Zhang; Vivienne Sze; George Papandreou; Liang-Chieh Chen (CoRR, 2019)

Panoptic-DeepLab. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CoRR, 2019)

A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees. - Sathya N. Ravi; Maxwell D. Collins; Vikas Singh (INFORMS J. Optim., 2019)

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. - Bowen Cheng; Maxwell D. Collins; Yukun Zhu; Ting Liu 005; Thomas S. Huang; Hartwig Adam; Liang-Chieh Chen (CVPR, 2020)

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. - Liang-Chieh Chen; Raphael Gontijo Lopes; Bowen Cheng; Maxwell D. Collins; Ekin D. Cubuk; Barret Zoph; Hartwig Adam; Jonathon Shlens (ECCV (9), 2020)

Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. - Liang-Chieh Chen; Raphael Gontijo Lopes; Bowen Cheng; Maxwell D. Collins; Ekin D. Cubuk; Barret Zoph; Hartwig Adam; Jonathon Shlens (CoRR, 2020)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 2021)

DeepLab2: A TensorFlow Library for Deep Labeling. - 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; et al. (CoRR, 2021)

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. - Qihang Yu; Huiyu Wang; Dahun Kim; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2022)

k-means Mask Transformer. - Qihang Yu; Huiyu Wang; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (29), 2022)

Learning to Generate Image Embeddings with User-Level Differential Privacy. - Zheng Xu 002; Maxwell D. Collins; Yuxiao Wang 001; Liviu Panait; Sewoong Oh; Sean Augenstein; Ting Liu 005; Florian Schroff; H. Brendan McMahan (CVPR, 2023)

Is Attention Required for Transformer Inference? Explore Function-preserving Attention Replacement. - Yuxin Ren; Maxwell D. Collins; Miao Hu; Huanrui Yang (CoRR, 2025)