| 2015 | CVPR | Sparse Convolutional Neural Networks. | Baoyuan Liu, Min Wang, Hassan Foroosh, Marshall F. Tappen, Marianna Pensky |
| 2014 | BMVC | Action Recognition by Weakly-Supervised Discriminative Region Localization. | Hakan Boyraz, Syed Zain Masood, Baoyuan Liu, Marshall F. Tappen, Hassan Foroosh |
| 2014 | CVPR | Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking. | Chuan Sun, Marshall F. Tappen, Hassan Foroosh |
| 2013 | CVPR | Probabilistic Label Trees for Efficient Large Scale Image Classification. | Baoyuan Liu, Fereshteh Sadeghi, Marshall F. Tappen, Ohad Shamir, Ce Liu |
| 2013 | ICIP | Discriminative dictionary learning with spatial priors. | Nazar Khan, Marshall F. Tappen |
| 2012 | ECCV | Latent Pyramidal Regions for Recognizing Scenes. | Fereshteh Sadeghi, Marshall F. Tappen |
| 2012 | ECCV | A Bayesian Approach to Alignment-Based Image Hallucination. | Marshall F. Tappen, Ce Liu |
| 2012 | ICPR | Stable discriminative dictionary learning via discriminative deviation. | Nazar Khan, Marshall F. Tappen |
| 2011 | CVPR | Localizing actions through sequential 2D video projections. | Hakan Boyraz, Marshall F. Tappen, Rahul Sukthankar |
| 2011 | CVPR | Learning non-local range Markov Random field for image restoration. | Jian Sun, Marshall F. Tappen |
| 2011 | CVPR | Recovering shape from a single image of a mirrored surface from curvature constraints. | Marshall F. Tappen |
| 2010 | CVPR | Context-constrained hallucination for image super-resolution. | Jian Sun, Jiejie Zhu, Marshall F. Tappen |
| 2010 | CVPR | Optimizing one-shot recognition with micro-set learning. | Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert |
| 2010 | CVPR | Learning to recognize shadows in monochromatic natural images. | Jiejie Zhu, Kegan G. G. Samuel, Syed Zain Masood, Marshall F. Tappen |
| 2009 | CVPR | Learning optimized MAP estimates in continuously-valued MRF models. | Kegan G. G. Samuel, Marshall F. Tappen |
| 2009 | ICCV | Learning pedestrian dynamics from the real world. | Paul Scovanner, Marshall F. Tappen |
| 2008 | CVPR | The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling. | Marshall F. Tappen, Kegan G. G. Samuel, Craig V. Dean, David M. Lyle |
| 2007 | CVPR | Utilizing Variational Optimization to Learn Markov Random Fields. | Marshall F. Tappen |
| 2007 | CVPR | Learning Gaussian Conditional Random Fields for Low-Level Vision. | Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman |
| 2006 | CVPR | Estimating Intrinsic Component Images using Non-Linear Regression. | Marshall F. Tappen, Edward H. Adelson, William T. Freeman |
| 2006 | ECCV | A Comparative Study of Energy Minimization Methods for Markov Random Fields. | Richard Szeliski, Ramin Zabih, Daniel Scharstein, Olga Veksler, Vladimir Kolmogorov, Aseem Agarwala, Marshall F. Tappen, Carsten Rother |
| 2004 | CVPR | Efficient Graphical Models for Processing Images. | Marshall F. Tappen, Bryan C. Russell, William T. Freeman |
| 2003 | ICCV | Comparison of Graph Cuts with Belief Propagation for Stereo, using Identical MRF Parameters. | Marshall F. Tappen, William T. Freeman |