The visual recognition methodology developed in his group was a winner of the PASCAL VOC object segmentation and labeling challenge over the past four editions, 2009 - 2012, as well as state of the art and winner, respectively, in the Reconstruction Meets Recognition Challenge (RMRC) 2013 and 2014. His work on deep learning for graph matching has received the best paper award honorable mention at CVPR 2018.