| 2014 | ECCV | Pose Machines: Articulated Pose Estimation via Inference Machines. | Varun Ramakrishna, Daniel Munoz, Martial Hebert, James Andrew Bagnell, Yaser Sheikh |
| 2013 | ICRA | Efficient 3-D scene analysis from streaming data. | Hanzhang Hu, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2013 | ICRA | Efficient temporal consistency for streaming video scene analysis. | Ondrej Miksik, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2012 | ECCV | Co-inference for Multi-modal Scene Analysis. | Daniel Munoz, James Andrew Bagnell, Martial Hebert |
| 2011 | CVPR | Learning message-passing inference machines for structured prediction. | Stphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell |
| 2011 | ICRA | 3-D scene analysis via sequenced predictions over points and regions. | Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2010 | ECCV | Stacked Hierarchical Labeling. | Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2009 | CVPR | Contextual classification with functional Max-Margin Markov Networks. | Daniel Munoz, James A. Bagnell, Nicolas Vandapel, Martial Hebert |
| 2009 | GLOBECOM | Effect of I/Q Imbalance on Pilot Design for MIMO OFDM Channel Estimation. | Hlaing Minn, Daniel Munoz |
| 2009 | ICRA | Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields. | Daniel Munoz, Nicolas Vandapel, Martial Hebert |
| 2009 | VTC | Pilot Designs with Guard Bands for Channel Estimation of MIMOOFDM Systems with Frequency-Dependent I/Q Imbalances. | Daniel Munoz, Hlaing Minn |
| 2009 | WCNC | Pilot designs for channel estimation of OFDM systems with frequency-dependent I/Q imbalances. | Hlaing Minn, Daniel Munoz |