329 citations · 435 across the 8 of their papers we have counts for
4 papers · 1 filter
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Yash Goyal, Akrit Mohapatra, Devi Parikh +1
Deep neural networks have shown striking progress and obtained state-of-the-art results in many AI research fields in the recent years. However, it is often unsatisfying to not kno…
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
Michael Cogswell, Xiao Lin, Senthil Purushwalkam +1
We present a two-module approach to semantic segmentation that incorporates Convolutional Networks (CNNs) and Graphical Models. Graphical models are used to generate a small (5-30)…
Candidate Constrained CRFs for Loss-Aware Structured Prediction
Faruk Ahmed, Daniel Tarlow, Dhruv Batra
When evaluating computer vision systems, we are often concerned with performance on a task-specific evaluation measure such as the Intersection-Over-Union score used in the PASCAL…
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…