Decision-Theoretic Learning in an Action System. - Matthew Brand (ML, 1991)

Sensible Scenes: Visual Understanding of Complex Structures through Causal Analysis. - Matthew Brand; Lawrence Birnbaum; Paul R. Cooper (AAAI, 1993)

A short note on local region growing by pseudophysical simulation. - Matthew Brand (CVPR, 1993)

Looking for trouble: Using causal semantics to direct focus of attention. - Lawrence Birnbaum; Matthew Brand; Paul R. Cooper (ICCV, 1993)

Divided We Fall: Resolving Occlusions using Causal Reasoning. - Paul R. Cooper; Lawrence Birnbaum; Daniel Halabe; Matthew Brand; Peter N. Prokopowicz (ECCV (1), 1994)

Jean-Arcady Meyer and Stewart W. Wilson, eds., From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior. - Matthew Brand; Peter N. Prokopowicz; Clark Elliott (Artif. Intell., 1995)

Causal Scene Understanding. - Paul R. Cooper; Lawrence Birnbaum; Matthew Brand (Comput. Vis. Image Underst., 1995)

Understanding manipulation in video. - Matthew Brand (FG, 1996)

The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis. - Matthew Brand (AAAI/IAAI, 1997)

Coupled hidden Markov models for complex action recognition. - Matthew Brand; Nuria Oliver; Alex Pentland (CVPR, 1997)

Computer vision for a robot sculptor. - Matthew Brand (Human Vision and Electronic Imaging, 1997)

Physics-Based Visual Understanding. - Matthew Brand (Comput. Vis. Image Underst., 1997)

An Entropic Estimator for Structure Discovery. - Matthew Brand (NIPS, 1998)

Pattern discovery via entropy minimization. - Matthew Brand (AISTATS, 1999)

Minimum-Entropy Models of Scene Activity. - Vera M. Kettnaker; Matthew Brand (CVPR, 1999)

Structure and parameter learning via entropy minimization, with applications to mixture and hidden Markov models. - Matthew Brand (ICASSP, 1999)

Shadow Puppetry. - Matthew Brand (ICCV, 1999)

Voice Puppetry. - Matthew Brand (SIGGRAPH, 1999)

Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction. - Matthew Brand (Neural Comput., 1999)

Finding Variational Structure in Data by Cross-Entropy Optimization. - Matthew Brand (ICML, 2000)

Style machines. - Matthew Brand; Aaron Hertzmann (SIGGRAPH, 2000)

Discovery and Segmentation of Activities in Video. - Matthew Brand; Vera M. Kettnaker (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

Morphable 3D models from video. - Matthew Brand (CVPR (2), 2001)

Flexible flow for 3D nonrigid tracking and shape recovery. - Matthew Brand; Rahul Bhotika (CVPR (1), 2001)

Incremental Singular Value Decomposition of Uncertain Data with Missing Values. - Matthew Brand (ECCV (1), 2002)

Charting a Manifold. - Matthew Brand (NIPS, 2002)

Decision-Theoretic Group Elevator Scheduling. - Daniel Nikovski; Matthew Brand (ICAPS, 2003)

A unifying theorem for spectral embedding and clustering. - Matthew Brand; Kun Huang (AISTATS, 2003)

Continuous nonlinear dimensionality reduction by kernel Eigenmaps. - Matthew Brand (IJCAI, 2003)

Minimax Embeddings. - Matthew Brand (NIPS, 2003)

Efficient Isotropic BRDF Measurement. - Wojciech Matusik; Hanspeter Pfister; Matthew Brand; Leonard McMillan (Rendering Techniques, 2003)

Fast Online SVD Revisions for Lightweight Recommender Systems. - Matthew Brand (SDM, 2003)

Marginalizing Out Future Passengers in Group Elevator Control. - Daniel Nikovski; Matthew Brand (UAI, 2003)

A data-driven reflectance model. - Wojciech Matusik; Hanspeter Pfister; Matthew Brand; Leonard McMillan (ACM Trans. Graph., 2003)

From Subspace to Submanifold Methods. - Matthew Brand (BMVC, 2004)

Algebraic Solution for the Visual Hull. - Matthew Brand; Kongbin Kang; David B. Cooper (CVPR (1), 2004)

Spectral Solution of Large-Scale Extrinsic Camera Calibration as a Graph Embedding Problem. - Matthew Brand; Matthew E. Antone; Seth J. Teller (ECCV (2), 2004)

Optimal Parking in Group Elevator Control. - Matthew Brand; Daniel Nikovski (ICRA, 2004)

Theory and Applied Computing: Observations and Anecdotes. - Matthew Brand; Sarah F. Frisken Gibson; Neal Lesh; Joe Marks; Daniel Nikovski; Ronald N. Perry; Jonathan S. Yedidia (MFCS, 2004)

Multilinear models for face synthesis. - Daniel Vlasic; Matthew Brand; Hanspeter Pfister; Jovan Popovic (SIGGRAPH Sketches, 2004)

Exact calculation of expected waiting times for group elevator control. - Daniel Nikovski; Matthew Brand (IEEE Trans. Autom. Control., 2004)

A Direct Method for 3D Factorization of Nonrigid Motion Observed in 2D. - Matthew Brand (CVPR (2), 2005)

Nonrigid Embeddings for Dimensionality Reduction. - Matthew Brand (ECML, 2005)

A Random Walks Perspective on Maximizing Satisfaction and Profit. - Matthew Brand (SDM, 2005)

Face transfer with multilinear models. - Daniel Vlasic; Matthew Brand; Hanspeter Pfister; Jovan Popovic (ACM Trans. Graph., 2005)

Optimal Route Planning under Uncertainty. - Evdokia Nikolova; Matthew Brand; David R. Karger (ICAPS, 2006)

Stochastic Shortest Paths Via Quasi-convex Maximization. - Evdokia Nikolova; Jonathan A. Kelner; Matthew Brand; Michael Mitzenmacher (ESA, 2006)

A conditional random field for automatic photo editing. - Matthew Brand; Patrick Pletscher (CVPR, 2008)

Delay-Energy Tradeoffs in Wireless Ad-Hoc Networks with Partial Channel State Information. - Matthew Brand; Andreas F. Molisch (GLOBECOM, 2008)

Routing with Probabilistic Delay Guarantees in Wireless Ad-Hoc Networks. - Matthew Brand; Petar Maymounkov; Andreas F. Molisch (GLOBECOM, 2008)

Geolocalization using skylines from omni-images. - Srikumar Ramalingam; Sofien Bouaziz; Peter Sturm 002; Matthew Brand (ICCV Workshops, 2009)

Image and Video Retargetting by Darting. - Matthew Brand (ICIAR, 2009)

SKYLINE2GPS: Localization in urban canyons using omni-skylines. - Srikumar Ramalingam; Sofien Bouaziz; Peter F. Sturm; Matthew Brand (IROS, 2010)

Parallel quadratic programming for image processing. - Matthew Brand; Donghui Chen (ICIP, 2011)

A trellis-based approach for robust view synthesis. - Dong Tian; Anthony Vetro; Matthew Brand (ICIP, 2011)

Specular holography - Matthew Brand (CoRR, 2011)

On a multiplicative update dual optimization algorithm for constrained linear MPC. - Stefano Di Cairano; Matthew Brand (CDC, 2013)

Lifting 3D Manhattan Lines from a Single Image. - Srikumar Ramalingam; Matthew Brand (ICCV, 2013)

Projection-free parallel quadratic programming for linear model predictive control. - Stefano Di Cairano; Matthew Brand; Scott A. Bortoff (Int. J. Control, 2013)

Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks. - Ziming Zhang; Matthew Brand (NIPS, 2017)

Improving adversarial robustness by learning shared information. - Xi Yu; Niklas Smedemark-Margulies; Shuchin Aeron; Toshiaki Koike-Akino; Pierre Moulin; Matthew Brand; Kieran Parsons; Ye Wang 001 (Pattern Recognit., 2023)

SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. - Xiangyu Chen 008; Jing Liu 009; Ye Wang 001; Pu (Perry) Wang; Matthew Brand; Guanghui Wang 001; Toshiaki Koike-Akino (BMVC, 2024)

SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. - Xiangyu Chen 008; Jing Liu 009; Ye Wang 001; Pu (Perry) Wang; Matthew Brand; Guanghui Wang 001; Toshiaki Koike-Akino (CVPR Workshops, 2024)

G-RepsNet: A Fast and General Construction of Equivariant Networks for Arbitrary Matrix Groups. - Sourya Basu; Suhas Lohit; Matthew Brand (CoRR, 2024)

SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules. - Xiangyu Chen 008; Jing Liu 009; Ye Wang 001; Pu (Perry) Wang; Matthew Brand; Guanghui Wang 001; Toshiaki Koike-Akino (CoRR, 2024)

G-RepsNet: A Lightweight Construction of Equivariant Networks for Arbitrary Matrix Groups. - Sourya Basu; Suhas Lohit; Matthew Brand (Trans. Mach. Learn. Res., 2025)

LatentLLM: Attention-Aware Joint Tensor Compression. - Toshiaki Koike-Akino; Xiangyu Chen 008; Jing Liu 009; Ye Wang 001; Pu Wang 004; Matthew Brand (CoRR, 2025)

TuneComp: Joint Fine-tuning and Compression for Large Foundation Models. - Xiangyu Chen 008; Jing Liu 009; Ye Wang 001; Matthew Brand; Pu Wang 004; Toshiaki Koike-Akino (CoRR, 2025)

AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent. - Jing Liu 009; Toshiaki Koike-Akino; Ye Wang 001; Hassan Mansour; Matthew Brand (CoRR, 2025)